Around the world, Black Friday is one of the busiest dates in the ecommerce calendar.

found that 40% of Gen Z and 32% of millennials plan to do most of their shopping on Black Friday this year. In 2024, US consumers spent a total $10.8 billion in Black Friday shopping online alone, making it the most popular day for shopping in the entire year. (Cyber Monday, the Monday that follows Black Friday, came in second.) 

However, this November, revenue forecasts might look a little different. For the first time in years, shoppers are planning on spending less. , Black Friday spending will see a 4% pullback after 4 years of growth, despite rising prices, with shoppers looking to stretch every penny. A similar found that 39% of shoppers will be spending less this year, citing higher prices as the cause. Consumers are more likely to dwell and deliberate on purchases, rather than impulse shopping as we鈥檝e come to expect. AI search tools like ChatGPT are seeing a surge in use around holiday season, as shoppers use the LLMs to help shortlist potential purchases. 

What does this mean for retailers? Well, with shoppers being more intentional with their purchases, it鈥檚 more important than ever to grab and hold your customers鈥� attention. After all, each individual might only be making one significant purchase this Black Friday weekend 鈥� and ideally, that purchase will be on your site. 

You need to find a way to stand out. And, perhaps more importantly, you need to make sure your customers find you quickly. Because what鈥檚 the point of a creative, compelling product page if no one鈥檚 ever going to see it? 

Retailers have historically relied on massive budgets for paid ads and highly competitive SEO to get their products viewed and bought by shoppers . But this Black Friday weekend, the battleground is shifting. Ranking high on organic search isn't the be-all-and-end-all anymore. Your brand's visibility is no longer a matter of ranking first on Google for a single keyword. 

Consumers are using AI search tools like ChatGPT, Claude and Perplexity to shortlist products, or skimming through AI overviews on Google. The game has changed: before you convert customers, you must now win over AI algorithms. LLMs are acting as a powerful pre-screening layer, helping shoppers shortlist the wheat and filter out the under-optimised chaff. To capture a consumer鈥檚 single, critical purchase, your entire strategy must be built for this new environment.

Here are 3 tips that will help your brand make the most of the Black Friday holiday 鈥� and win in the era of AI search. 

Strategy 1: Write Copy for Both Humans and Algorithms

Include Use-Cases and Keywords

The best product copy speaks to two audiences: the human buyer and the AI scraping your page for information. 

AI Search is a conversation, far more so Google Search ever was. AI users ask longer, more specific questions 鈥� often 10+ words 鈥� compared to traditional organic search queries of 3-6 words.

For example, a user might ask ChatGPT: 鈥淪uggest comfortable blouses I can wear to the office but also fit into my everyday wardrobe.鈥�

ChatGPT will focus on recommending products that explicitly answer the question, incorporating keywords from the user鈥檚 original query. That鈥檚 why it鈥檚 important to incorporate use-cases into your product pages: it could be the difference between getting seen, and being passed over.

Incorporating use cases is straightforward, if time consuming: Just imagine how your audience might use your product. If your product works well as office-wear, make sure to say it 鈥� and ideally, use the same language your customer would. 

The Rule of Independent Sentences

AI engines extract individual sentences from your copy to answer queries. This means every sentence must be independently understandable without surrounding context.

Here are some examples of good and bad PDP copy from the perspective of an LLM.

In the AI era, it鈥檚 vital for product page copy to work well as standalone sentences.

Strategy 2: Get Mentioned Across Platforms

AI engines pull from diverse sources to create comprehensive answers. You can increase the likelihood of your products being mentioned, cited, and summarised across the web by making sure your products appear across a wide range of platforms.

For example鈥�

Reddit

Did you know that Reddit leads AI citations at 40.1%, with Reddit citations in ChatGPT surging 87% in July 2025? Try taking advantage of this by encouraging real, verified customers to share their experiences and reviews on relevant subreddits. Authentic conversation drives AI-visibility.

Blog Mentions

Mention your products in your own blog and seek out guest blogging opportunities. Themed lists (e.g., "Top 5 Hiking Gifts") with seasonal keywords tend to work well here.

Video

Upload tutorials, product demos, or unboxing videos to YouTube and TikTok. AI tools are increasingly summarising video content 鈥� especially in Google鈥檚 AI Overviews. There鈥檚 rich potential here to turn your visuals into valuable text mentions and citations.

Strategy 3: Don鈥檛 Forget About SEO 

Though AEO and GEO are the new kids on the block, Google remains the most popular way to search. Your foundational SEO elements are ultimately your first line of defence.

Here are two quick wins:

1. Refresh Your Meta Data

Update meta descriptions and meta titles for the holiday. Ensure they are SEO optimised and reflect your most compelling Black Friday deals. Let the traffic come to you!

2. Strengthen Your Internal Linking

Help customers (and Google!) discover more of your products. Add relevant internal links between complementary items, categories, and bestsellers so shoppers naturally flow deeper into your catalogue. This boosts crawlability, improves keyword relevance, and keeps buyers browsing for longer.

4 Ways to Boost Traffic this Black Friday Holiday

In 2025, Black Friday and Cyber Monday are a battle for visibility across an entirely new landscape: one where AI algorithms influence purchasing decisions long before a shopper ever reaches your site.

To win, this means writing product copy that answers real shopper questions, ensuring your products are mentioned across the platforms AI pulls from, and tightening up your SEO foundations so you鈥檙e discoverable everywhere that matters.

Shoppers may be spending more cautiously, but they鈥檙e also searching more intentionally. If your product pages are clear, comprehensive, and AI-ready, you鈥檒l be the brand they find, and the brand they trust enough to buy from.

About 魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023 is an AI tool built to help every product page be seen across every channel. Delivering automated copy optimised for AEO, SEO and more, 魅影直播app下载安装最新版本2023 helps retailers improve discoverability, boost traffic, and deliver world-class PDP experiences across every channel. Brands use 魅影直播app下载安装最新版本2023 to streamline workflows, unlock performance gains, and stay ahead in the era of AI Search.

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You鈥檝e just put a batch of product descriptions live. Congratulations! 

You鈥檝e chased down product details from merchandising, waited patiently for the descriptions to be written and reviewed, swallowed down an anxious breath as branding combed through with the finest of fine-tooth combs, trying not to dwell on the impending major deadline. 

And then it was all reviewed again, for good luck, or legal鈥� or something. And then, someone (hopefully not you) had the joy of formatting the copy ready for your CMS or PIM 鈥� and then it was time for QA, and then for sign-off. 

And if that was it 鈥� if that was all there was to writing product descriptions 鈥� maybe that would be fine. Tedious, time-intensive, and somewhat soul-destroying, sure, but鈥� fine. 

Unfortunately, product descriptions aren鈥檛 a one-and-done job. 

You can鈥檛 just get them live and leave them to work their magic. Because, after a while, there stops being any magic. Keywords change, trends change, maybe your customers even change. What resonated in Winter 2025 feels outdated and stale in Summer 2026. A parka you called a 鈥渨inter coat鈥� in December isn鈥檛 going to see much traction in June. 

Think of it this way. You wouldn't let your products go out of date 鈥� so don't let it happen to your product descriptions.

Products with time-specific keywords 鈥� 鈥滳hristmas gift ideas for dad鈥�, 鈥淢other鈥檚 Day favourite鈥�, and so on  鈥� tend to do well for that one slice of the year, then fade into oblivion with the next big holiday. Updating your product descriptions on a regular basis helps you take advantage of more of these big swings, rather than throwing all your eggs in one basket. Suddenly, you鈥檝e got the very same product popping up in searches for Black Friday, Back to School, Christmas, Eid鈥�

And, while referencing seasonal trends helps you better resonate with your customers, regular product page updates also make a big difference to your SEO and AI Search visibility. 

Like traditional search engines, most LLMs heavily rely on product titles and descriptions when answering a user鈥檚 conversational query. This means, if you ask ChatGPT for 鈥渨inter coat recommendations鈥�, ChatGPT is more likely to recommend coats that reference winter in their description.

In a similar way, search engines and AI Search tools alike favour websites that consistently publish timely and relevant content. Rather than letting older product pages lose rank over time, updating them regularly with fresh seasonal information, keywords, and visuals can revive their SEO performance and organic traffic.

How often should you update product descriptions?

Typically, you should be updating your product descriptions at least every 3-6 months. Time your updates to coincide with high-traffic shopping periods for best results.

These seasonal peaks include: 

• Christmas and New Year (December-January)

• Chinese New Year (January-March)

• Valentine鈥檚 Day (February) 

• Ramadan and Eid (Dates vary)

• Easter (March-April)

• Mother鈥檚 Day/Father鈥檚 Day (Dates vary internationally) 

• Back-to-School Season (July-September)

• Halloween (October)

• Diwali (October)

• Black Friday & Cyber Monday (November)

Use your descriptions or product specifications to draw attention to any limited edition packaging, branding, or promotional gifts. Once you鈥檝e updated your descriptions, try curating the products into a seasonal collection (like 鈥淗oliday Edit鈥�, 鈥淲inter Warmers鈥�, or 鈥淕ifts for Mum鈥�) to maximise discoverability. 

At the end of the season, take stock of what worked and what didn鈥檛. Which keywords brought in the most traffic? Which products didn鈥檛 perform?

鈥奌ere at 魅影直播app下载安装最新版本2023, we recommend measuring your refreshed descriptions鈥� overall impact by comparing their results against a control group (that is, a set of lookalike pages which haven鈥檛 been changed at all). Analyse the difference in traffic and revenue on Google Analytics, and prepare to see some serious uplifts. As we head into peak season鈥� good luck!

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Last week, ChatGPT鈥檚 parent company OpenAI launched a new, agentic browser to rival competitors like Google. 

The new browser is currently available on Apple鈥檚 MacOS operating system, and is in development for Windows and Android. 

What is ChatGPT Atlas?

allows users to browse the internet with ChatGPT on-hand as a personal assistant, research tool, and co-creator. 

Pull up a chat panel at any time when viewing a webpage, and ChatGPT will automatically understand the context of what you鈥檙e looking at. 

As you use Atlas, ChatGPT will learn more about you, your interests and behaviours. If you let Atlas remember your web browsing, ChatGPT can retrieve webpages you鈥檝e read in the past, even if you don鈥檛 remember more than the general topic. 

To put that in perspective, a user could ask, 鈥淐an you find those red shoes I was looking at last week?鈥�. Within seconds, ChatGPT Atlas can offer up the webpage in question.

Why does ChatGPT Atlas matter for ecommerce? 

For ecommerce teams, ChatGPT Atlas鈥� Agent Mode should ring alarm bells. Is this the start of a revolution in the way we buy things online? 

When Agent Mode is enabled, ChatGPT Atlas can 鈥� in theory 鈥� autonomously open tabs, click through pages, book hotels and flights鈥� and even shop. While the human user continues browsing elsewhere, or even walks away from the screen entirely, ChatGPT can visit ecommerce sites, add products to basket, and purchase items autonomously. 

Over the past few months, OpenAI has been doubling-down on online retail, forming Nevertheless, ChatGPT Atlas鈥� ecommerce use-case goes one step further than everything we鈥檝e seen before. 

, OpenAI CEO Sam Altman asked ChatGPT to read a recipe and order the ingredients for eight people. 

Now, in the week since the browser鈥檚 release, a number of articles are already cropping up in which the intrepid authors set ChatGPT loose on their own grocery shopping. 

The verdict? Even in this first iteration, ChatGPT Atlas is full of potential 鈥� and with a few snags ironed out (), it could very well be the future of shopping online. 

, suggested the tool would be 鈥渁wesome to use around the holidays鈥� I鈥檓 planning to ask it to find the hottest toys for 4-year-olds鈥� filter by best sellers and reviews, stick to a budget, and fill out my cart automatically鈥� It could save me hours of gift-hunting 鈥� or at least inspire a few great present ideas.鈥�

How to optimise for ChatGPT Atlas 

, more than 800 million people already use ChatGPT every week for help with everyday tasks, up from 400 million in February.

If even a fraction of these users start using agentic AI to shop, the way ecommerce teams win conversions could end up looking very, very different. 

Instead of manually navigating to your website, browsing categories, filtering, clicking, and so on, future shoppers might leave it to Atlas to access ecommerce sites at all. 

As ChatGPT Atlas鈥� userbase grows, teams should expect a shift in traditional web traffic from search engines. 

Rather than taking shoppers to your online store, ChatGPT Atlas pulls your product data into its own UI.

With fewer brand touchpoints, there will be fewer opportunities to nurture shoppers with discounts, pop-ups, or up-selling at checkout. Email subscriptions might also see a drop. 

While a human might be swayed by a brightly coloured banner or well-placed urgency cues, AI primarily uses product metadata to decide which products to recommend. This makes your on-page product content like descriptions, titles and specs the new star of the show. 

You鈥檒l need to make sure this content is optimised for AI search, or run the risk of losing traffic to competitors. Any Digital Marketer knows the struggle of running a modern social media account at the whim of the explore page algorithm 鈥� and with AI search, ecommerce teams face a similar problem. Beautiful, on-brand copy is wasted if AI tools never recommend your products to customers. Ecommerce teams must balance brand voice with optimisation for AI agents. 

For example, to ensure your products show up in ChatGPT Atlas, it鈥檚 best practice for copy to reference common conversational queries. When a user asks ChatGPT for help finding a warm winter coat, ChatGPT is 鈥� logically enough 鈥� most likely to recommend coats that reference winter in their description.

Brands and retailers that adopt agentic-friendly practices early on stand to reap the biggest rewards from a shift towards AI browsers. If you wait until agentic shopping goes mainstream, unfortunately, you may find you鈥檙e playing catch-up in the long run.  

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Hype about agentic AI 鈥� a technology once consigned to the realms of science fiction and 鈥� has noisily crescendoed over the past year.

Just take a look at this graph showing Google searches for 鈥楢gentic AI鈥� in the United Kingdom:

That鈥檚 a pretty staggering increase.

The term 鈥榓gentic AI鈥� refers to any AI system that is capable of acting independently and autonomously to achieve its goals. In theory, agentic AI doesn鈥檛 need constant human intervention or oversight, and is able to handle multiple, complex instructions at once. This already sounds like a game-changer for countless verticals and industries, cutting tedious, time-consuming workflows and accelerating efficiency. Now, a steady stream of breakthroughs in popular LLM technology mean it鈥檚 getting easier to imagine AI agents assisting with every aspect of working life. It鈥檚 not science fiction anymore.

And, naturally, there鈥檚 a wide range of use cases for agentic AI technology. Life science companies are currently , while . Other use-cases are perhaps more familiar to ecommerce professionals: at 魅影直播app下载安装最新版本2023, we鈥檝e created an agentic AI copywriter capable of writing on-brand product content.

With examples like these gaining growing traction, many , far from the futuristic dream of the 90s. Other teams are looking to build agentic AI systems themselves, throwing their weight behind in-house AI initiatives.

However, as this past year has shown, building agentic AI often requires more than the average internal taskforce. In 2024-25, , with leaders citing complexity, cost, and unclear value. found most implementations fail to move the P&L.

Something is stopping would-be agentic AI projects in their tracks. But what?

I interviewed members of our Product and Engineering teams here at 魅影直播app下载安装最新版本2023 to find out their thoughts. Here鈥檚 what they said.

What makes agentic AI so difficult to get right?

Watch the full interview here 鈥� transcript below.

Why is it so difficult to build an agentic AI system?

Transcript:

: From an engineering perspective, regular engineering is very predictable. And by that I mean, regular engineering either works, or it doesn't. But within AI, and especially when it comes to LLMs, engineering can be very unpredictable. LLMs are often trained from messy data, which means that, rather than just looking for bugs in code and trying to firm up your software, working with agentic AI can feel more like looking after a really unpredictable young child.

One of the biggest challenges with building an agentic system is context engineering. In other words, it can be difficult to work out the right amount of context to give to your agent. You don't want to give it too little context for a task, so that it doesn't know what to do鈥� But equally, you also don't want to give it too much context either. That鈥檚 a mistake. If you go too far, and give the agentic system too much background, it can become distracted and start hallucinating connections between the tasks that it's trying to achieve. So, often one of the main challenges with building agentic AI is telling the agent what to ignore as much as what to pay attention to.

鈥奣raditionally, systems that we build in engineering are really deterministic, which means that they follow a highly predictable flow. For example, a UI developer might code up a series of screens, which then update data in the backend in a predictable way that always happens in a set sequence, going from A to B to C.

However, when you start building agentic AI, everything you鈥檙e used to from traditional engineering goes out of the window. All of a sudden, a user can take the agent off course at will, or talk about things completely out of turn. A user might even ask the AI system to do something that isn鈥檛 its core job. Building a system that is tolerant to all of those divergences in user behavior is incredibly hard.

Equally, building agentic AI is really hard from the point of view of hiring talent. To build an agentic AI system, all the traditional roles that we鈥檙e used to in engineering slip away. Instead, you end up with people who have really blurred skills that cross between design, front and backend engineering, and so on. It's fundamentally a complete different set of skills to be an effective AI engineer, compared to traditional engineering at SaaS apps.

I think what makes working with agentic AI difficult is that even though you鈥檙e essentially working with an incredibly smart assistant who鈥檚 fantastic at creative tasks, because agentic AI is also a probabilistic system, it's really hard to keep it consistent. In that sense, it's kind of like a human. 鈥奍t's great at carrying out a variety of different tasks with genuine creativity and flair, but when you want it to do the same thing a hundred times, there will be be error rates. That鈥檚 why getting an LLM and agentic AI system to do things very consistently is extremely difficult. And that's where we spend a lot of our time here at 魅影直播app下载安装最新版本2023.

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With modern agents and off鈥憈he鈥憇helf LLMs, suddenly, it鈥檚 enticingly do-able to prototype an AI copywriter in-house. Unfortunately, while building a prototype is an exciting start, that doesn鈥檛 mean it鈥檚 easy to build a workable agentic AI copywriter from the ground up and operate it reliably at scale.  

As we鈥檙e now seeing, . Budgets are being pulled, teams are disbanding, and governance burdens are rising. 

So, what makes the difference between building an in-house AI agent that succeeds 鈥� and one that fails? 

This comprehensive guide breaks down the key features of an agentic AI copywriter, how to know when your team is ready to start building, and the core costs of building your own AI agent in-house. 

Why 鈥渨e鈥檒l just build it鈥� is so tempting

With so much hype and so little practical guidance, it鈥檚 no real surprise that a significant number of agentic AI projects never make it past the starting line. After all, it鈥檚 all too tempting for teams to dive in on building, without completing the necessary groundwork. 

The working brief seems sensible: teams just want to build an AI copywriter that鈥檚 genuinely brand-aligned, SEO鈥憆eady, and resilient across answer engines like Perplexity and ChatGPT. They鈥檙e counting on achieving speed and scale on their own clock, with the added bonus of no vendor lock鈥慽n.

But, as the last decade has taught us, proof of concept is easy; production is hard.

Right now, the flurry of activity building AI agents in house recalls a pattern that should be familiar from the big鈥慸ata wave. Teams are staffing up, starting to build bespoke engines with the best will in the world鈥� but then, for some reason, those projects stall before they ever reach production.

In 2024-25, , with leaders citing complexity, cost, and unclear value. found most implementations fail to move the P&L. With agentic AI, as with any emerging technology, internal projects often stall at pilot because teams underestimate ongoing data, evaluation, and governance work.

Against this background, it鈥檚 important for organisations to carefully match their approach to their specific business case. Don鈥檛 view building as the default go-to if another option makes more sense for your team.

How much does it cost to build an AI agent in-house?

While every team鈥檚 process will look a little different, one thing ought to be clear. Every month spent building an in-house AI copywriter agent is a month in which you鈥檙e de-prioritising existing workflows. Depending on the size or structure of your team, this can ripple into delays getting products live, refreshing copy, and reacting to the rapidly shifting ecommerce landscape.

A simple cost-of-delay formula can help you judge whether your team has the bandwidth to take on a build.

Plug your own numbers into the following formula:

Incremental revenue per month = traffic 脳 baseline conversion 脳 average order value 脳 expected lift

This equation gives you a quick way to translate funnel improvements into pound or dollar terms. 鈥淭raffic鈥� is the number of visitors to your site, 鈥渂aseline conversion鈥� is the percentage of visitors who already purchase, 鈥渁verage order value鈥� is how much they spend, and 鈥渆xpected lift鈥� is the incremental gain from ongoing improvements. Multiply these figures together, and you鈥檒l see the revenue you risk leaving on the table while your team鈥檚 attention shifts to building.

If your typical product鈥憄age improvements lift conversion even modestly, the compounded revenue impact of waiting for an in-house build often dwarfs the software license fees you鈥檇 spend on buying an external solution.

Then, add to that the hidden costs of鈥� 

People - costs for a minimal internal AI team (including a Product Manager, Machine Learning Engineer, Data Engineer, Machine Learning Ops Lead, Full鈥慡tack Engineer, and Quality Assessor) will run well into the high six to low seven figures annually in the U.S. That鈥檚 without even taking contractors, localisation, or design into account.

Today, tools like GitHub Copilot or Amazon Q Developer make it easier and faster for engineers to write code or spin up internal tools. All the same, these tools don鈥檛 erase production complexity (including observability, governance, SEO compliance, and cost management) 鈥� all of which require serious human input.

Computation - Inference is an operating expense that scales with tokens generated and model family. Industry analyses show by task and output length; without aggressive token budgeting and caching, unit economics can bite.

Evaluation & safety - You will need a living evaluation suite (including factuality, policy, brand voice, SEO fitness) and governance. The UK鈥檚 AI Safety Institute has made clear that model safeguards are brittle, which means continuous testing is a core part of your job if you build.

Maintenance -  warn would-be AI engineers that machine learning systems accrue notoriously high鈥慽nterest maintenance costs 鈥� including data shifts, feedback loops, and brittle integrations. This is exactly the kind of work that turns a 12鈥憁onth MVP into something that winds up as obsolete the day it ships.

When you should build 

All the same, 鈥� sometimes teams really are better placed to build rather than buy. 

This could be you, if: 

• You have a unique objective or constraint. Your regulatory or brand voice requirements are so specific that even bespoke vendor solutions cannot comply.

• You can clearly articulate the differentiator.  You鈥檝e developed proprietary taxonomy or attribute extraction that materially improves PDPs, and are scoping the build to that layer.

• You want to use data that you can鈥檛 share with vendors. By building, you can directly use first-party data (catalogue attributes, reviews, call transcripts, returns data) without sharing with vendors. This can give you a better factual grounding layer for your copywriter, since it鈥檚 wired into systems only you control.

• You鈥檙e resourced for the boring parts. When building your AI agent for ecommerce, you鈥檒l need to prepare yourself for evals, logging, rollback, model/version control, schema validation, and localisation QA. If you can鈥檛 fund these, don鈥檛 build.

• You鈥檙e in it for the long haul. Although time-to-value is usually slower, over a 3鈥�5 year horizon some companies find they can drive per-SKU costs down by fine-tuning smaller models, batching inference, or leveraging open-weights. This only works if you have both the volume and the in-house skill to make those optimisations pay off.

What would a competitive in-house AI copywriter look like? 

Brands who weigh up their options and decide to go ahead and build their own agentic AI copywriter should bear the following features in mind. 

1. Brand governance by default. Your AI copywriter should enforce brand governance by default, ensuring every output adheres to your bespoke tone of voice, legal standards, and brand claims policies. This includes built-in safeguards for regulated categories (e.g., health, finance, or sustainability) in particular. Governance should be automatic rather than bolted on, giving teams confidence that copy not only reflects brand identity but also meets ethical and regulatory requirements at scale.

2. Grounded outputs. Outputs must be grounded - using or equivalent - to reduce hallucinations, with measurable factuality and compliance safeguards in place. While RAG materially lowers risk, it never eliminates it, so continuous evaluation is essential.

3. Scale and latency. Your system should reliably generate copy for thousands to millions of SKUs across multiple locales, at predictable costs. Inference remains the dominant ongoing expense, which is highly sensitive to token volume and architecture. Although prices are falling, trends vary by task, making optimisation techniques like prompt design, token budgeting, and batching crucial.

4. SEO & AI鈥憇earch visibility by design. Copy should be designed for discoverability, producing machine-readable outputs that surface in AI Overviews, answer engines, and beyond traditional blue links.

5. Localisation. Your AI copywriter must deliver culturally nuanced, compliant, and accurate outputs, handling terminology, units, and regulations, at scale.

6. Integration. Connectivity is a must: your AI copywriter should integrate tightly with your PIM/DAM/CMS platforms, merchandising workflows, and inventory and pricing systems.

7. Observability & governance. Robust evaluation harnesses, red-team testing, audit logs, and risk controls should be aligned with frameworks like and , the first certifiable AI management-system standard.

So, should you build? 

If your goal is to win in the new world of search 鈥� Google AI Overviews, answer engines, and evolving SEO 鈥� what matters most is your AI copywriter鈥檚 speed to value and staying power. Building a best鈥慽n鈥慶lass agentic AI copywriter is a multi鈥憏ear R&D commitment with ongoing computation, evaluation, and governance costs. For most retailers, the smartest move is to buy a platform that already handles grounded, brand-aligned AI copy at scale.

That said, if you鈥檝e got ample time, resources, and AI expertise under your belt, building now could be a high-return move over the long-run. Ultimately, of course, deciding whether to 鈥榖uild鈥� or 鈥榖uy鈥� is a decision that is highly specific to your brand, team, and circumstances. If you do take this course, make sure to do your homework, keep a clear head, and beware the hidden costs.

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Last week, 魅影直播app下载安装最新版本2023 sat down with , Digital Director at , for a candid conversation about how the luxury lifestyle retailer is approaching AI copywriting. In this interview, Richard shares the challenges his team has faced in creating best-in-class product content, their product storytelling strategy, and how they ultimately 鈥榯ook the leap鈥� to explore AI copy as part of their content workflow. 

Listen to the audio here or read the full transcript below: 

Miranda: I'm really, really excited to be here to chat with Richard Voyce, the Digital Director at the Conran Shop. Thanks so much for making the time today, Richard. First thing鈥檚 first, maybe if you could introduce yourself, and share a little bit about what makes the Conran Shop so special?

Richard: Yep, sure. So, I鈥檓 Digital Director at The Conran Shop. I wear quite a few different hats in the business: but essentially, I look after ecommerce. I'm also a kind of technical director, which means that I own platforms 鈥� like our commerce platform, which is Shopify Plus 鈥� as well as all the other technology stack that goes with it.

As well as this, I look after the broader digital side of the business 鈥� so not only e-com, but also digital marketing. Really, it鈥檚 quite a varied role with several different functions. 

In terms of The Conran Shop, we're a heritage UK brand with over 50 years trading.鈥奜ur founder, Sir Terence Conran, set up The Conran Shop to pull together a curation of some of the amazing designs and finds that he discovered whilst traveling the world and then brought back into Great Britain.

With this heritage, The Conran Shop spent many years effectively functioning like a department store, with departments ranging from lighting, homeware, furniture, gifting, kitchen and dining accessories鈥� that kind of thing. More recently, we've repositioned the business and have set ourselves up as a brand in our own right 鈥� which means we no longer sell 鈥妕hird party supplier products. All the products we sell are the Conran Shop鈥檚 own products, TCS products. They鈥檙e all designed in the UK by our own team, and we sell them through our website and through our store in London, in Sloane Square.

So, our big focus in terms of product has now shifted. We鈥檝e now got a slightly narrower assortment 鈥� but a very much curated, considered assortment 鈥� of really nice products that are sustainable, ethically sourced, beautifully designed, and lovingly created by artisans.

Hopefully that gives you a good feel for the background of the company, and where we're going directionally. 

Miranda: 鈥奩es, thank you, I think that's a really clear overview. And how many products would you say there are roughly now?

Richard: Assortment-wise, I think we've got a few thousand. So, certainly not as massive as we once were, but still a relatively large number鈥� Which means that for a small team, it's quite a challenge to keep on top of those.

Miranda: 鈥夾bsolutely. And you say it's quite difficult to keep on top of all those product pages, so maybe let's talk about how you really define a successful product page for The Conran Shop. What specifically is most important to get right and keep on top of, and why?

Richard: Well鈥� Because our products are considered a higher value and they're not day-to-day purchases, it means they need a lot of thought and care put in on our end when communicating with our customers. That鈥檚 why we spend a lot of time finessing the content that we have on our product pages, whether that's through the user experience, or through the creative. So, for example, we always make sure that we've got really good CGI of our sofa ranges, and that our customers can zoom right in on the details. For other products, we鈥檝e invested a lot in our photography 鈥� we've gone to great pains to shoot them beautifully and make them look beautiful.

Then, with regards to our product descriptions鈥� We've had copywriters in the past, and back then, we had quite a lengthy process of writing copy for our products.

Since then, we've downsized the business quite significantly, to the point where actually we no longer have copywriters in the team, and instead, we've picked it up within the remaining creative team. 

Miranda: And what was most important for your creative team to get across in their product copywriting?

Richard: I guess there are two aspects to that. First of all, the storytelling of our products has always been very important to us, and still is. With a product that requires a higher level of consideration, or just a piece that's got a real story to tell, we need to make sure that we convey what makes that product so special. Because 鈥� comparatively speaking 鈥� there鈥檚 a big difference between one of our vases versus something you could buy in a supermarket. Our vase has been designed and handmade by an artisan, and that whole story needs to be highlighted in our copy and in our creative.

However, at the same time, we need to balance that very delicate storytelling with making sure that factually all the detail is correct too. Being accurate with that kind of detail is particularly important when we鈥檙e talking about heavy, large pieces of furniture, for example.

So, that's what鈥檚 been quite difficult for us 鈥� looking to achieve all that, but, now, having downsized the business to the extent that we have, looking to do it in an efficient way with less resource.

Miranda: So, it sounds like it's been a really big challenge to balance a limited team on one hand with still achieving that one-of-a-kind, unique feel in the copywriting?

Richard: Yeah, it is, it is a challenge. And it's probably even more of a challenge because we鈥檙e not just talking about brand new products here 鈥� at The Conran Shop, we've got products that have been in the set for quite some time, which means we need to go back and correct products that may have been written a year, two, three years ago.

As well as this, where we used individuals in the past to write copy, there was a bit of an inconsistency in the tone of voice. One of the challenges that we were looking to address by working with an AI copywriter tool was trying to get back to a point where exploring our product range feels like a consistent experience for our customers. 

That was key for us, particularly with this engagement: looking to 鈥妔et 鈥奱 tone of voice that we feel is right for the business, for our brand. We want to inject some of our personality, but we don't want to over-egg it. Sometimes in our previous copywriting, I felt that we'd just gone over the top in describing things; that when you looked at what the product copy was describing, it didn鈥檛 really make sense for the product. 

Also, when our creative team was writing the product copy, it actually began to feel quite repetitive. We were constantly using the same kind of language 鈥� for example, 鈥榚levate your room set鈥�. It just felt like it was getting quite tired. And so, we wanted to try and establish a tone of voice that had personality, that was authoritative, and factual, and relatively concise 鈥� so customers can quickly and easily understand what it is that they're reading on the product page. 

Miranda: Thanks, Richard, that makes sense 鈥� and you've touched on why it was that you felt an AI copywriter could be really helpful in solving some of these challenges: in terms of keeping a consistent tone of voice, in terms of minimising the repetitive feel from those same old words cropping up in your product copy again and again.

But, I guess, even getting to that point of considering an AI copywriter could be quite a big step for some ecommerce teams. So, what made you at The Conran Shop really open to considering an AI copywriter in the first place?

Richard: I think we'd basically just been looking for a solution off the back of the fact that we were struggling with time and resources, really. We have a small creative team, but that creative team is spread quite widely across the whole range of different functions, as you might imagine, whether they're creating advertising, or packaging, in store screens, online experiences, emails鈥� The guys are doing it all, right? And, amongst all that, they're also trying to write copy for new product releases. It鈥檚 not a particularly sustainable solution.

However, recently, we鈥檝e made some great strides in our newest product launches. We invested a lot of time in the creative and the words, and so it felt like we'd set the bar and set a kind of standard for our copy. If we could train AI to recognise what best looks like for us based on that, could we then use that AI to look back through our backlog of older products 鈥� which, as I described, had inconsistencies and challenges in them 鈥� with the goal to improve them and bring them back to the standard of the most recent products that we鈥檇 launched?

Miranda: 100%. It is such an incredibly exciting time that we're at a point when creative strategy and creative constraints can all be set by humans鈥� But then all the manual burden of writing product content against those constraints can be shouldered by the AI tools. What do you think that will mean for The Conran Shop going forwards and the way your current processes work?

Richard: 鈥奍 think AI will help us to improve our time to market. And by that I mean that we鈥檒l be able to launch products at a faster rate, with confidence. I'd like to think that a big benefit will also be within the SEO side of things- which we've not really touched on in this conversation so far, but SEO is something our creative team had neglected within our descriptions. I think there's a great benefit of AI copy there, particularly around writing well-structured metadata, adding in keywords, and so on. I think your AI copywriter鈥檚 ability to improve SEO is going to be a real benefit to us if we see that we get an uplift.

Aside from that鈥� I think consistency is probably the biggest benefit for us. We want our customers to start feeling that there's a better sense of brand when they鈥檙e navigating and exploring products with us; it should all start to feel like it's part of one, cohesive experience.

Miranda: 鈥�Yes, absolutely. At 魅影直播app下载安装最新版本2023, we see such a huge impact for teams 鈥� like you say 鈥� in terms of team efficiency, in terms of SEO, all as a result of our AI copywriter鈥檚 consistent, accurate, brand aligned copy that's generated in bulk. And that of course comes hand in hand with big benefits to conversion uplift and traffic uplift as well too, right? 

Looking at the time though, now, I think we've just got time for one final question.

And for this one, I wanted to ask you for your broader perspective about AI in ecommerce鈥� and what you think is coming next. What would you predict for the future of AI in ecommerce? Where could it add value beyond product descriptions, thinking more broadly?

Richard: For me personally, a big benefit at the moment is asking AI to create reports, do jobs, do things, and take out some of the manual lifting that comes with running e-com operations. So, I can see AI replacing a lot of the more routine sort of tasks, and doing things that, otherwise, a merchandiser might do.

On the other hand, although I can see it working really well for some companies, I think that we'll probably continue to utilise our own in-house photography for our products. I think that will probably set us apart. But, you know, we'll see how that develops. Maybe it will get to the point where we can create amazing, branded experiences using AI that align with all of our branding principles. 

Also鈥� I think from a 鈥奵ustomer perspective, AI will probably just change the way that people shop, meaning that you鈥檒l be able to just ask for things rather than having to search and filter. I think the way we search is going to be a lot more conversational. That's going to be interesting.

Miranda: Yes, it feels very much like a 鈥榳atch this space鈥�, doesn't it? Because, while a lot has happened in the AI and ecommerce space already,  there's so much more to come.

And鈥� I'd say that more or less wraps things up quite neatly for today. So, I just want to say thank you so much for your time, Richard, and for your insights into why AI copy feels right for The Conran Shop. And thank you, if you're listening, for listening in. 

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What makes a great product page so great? 

Sometimes ecommerce can feel like throwing darts at the wall, desperately trying to get something to stick. The truth is, you can A/B test until the cows come home, but a whole lot鈥檚 been tried and tested before. And while some things never work, there are lots of dependable best practices out there that, once implemented, can completely transform your product traffic. 

So, without further ado, here are 5 of the 魅影直播app下载安装最新版本2023 team鈥檚 favourite product page best practices for ecommerce.

Product Page Best Practice #1: Get Your Technical Stuff Right (Even When It's Boring)

It takes a rare person to get excited about metadata, but, for better or for worse, AI and search engines heavily rely on it. 

When your product data is clean and well-structured, Google, Bing and other search engines have the best chance of finding and understanding what you're selling. 

Similarly, ChatGPT and other AI tools won鈥檛 recommend your products to customers if your competitors鈥� products have better-structured, more relevant product data. 

Make sure to implement proper tagging for product attributes like colour, size, material and brand, with consistent naming conventions across your collection. Standardised schemas like markup also help keep your dataset consistent, so that AI chatbots can reliably extract information and recommend your products to new customers. 

Product Page Best Practice #2: Stay True to Your Brand 

Inconsistent brand voice is a massive threat to customer trust and loyalty. 

As businesses scale, it鈥檚 common for overall brand cohesion to start to drift. Where product copy was once sharply focused, written with a clear picture of the customer in mind, suddenly that picture starts to fuzz and blur around the edges. One minute you鈥檙e marketing to a health-conscious career woman in her 30s鈥� The next, your copy sounds more like it鈥檚 targeted at Gen Z university students.

This gradual drift is a problem as common as it is insidious, with an impact that can resonate across your entire business. Off-brand copy can make once-loyal customers question whether your products are still right for them. Fundamentally, your career woman and your university student don鈥檛 think the same way and don鈥檛 want the same things; all of a sudden, your brand doesn鈥檛 hit quite so close to home as it used to. 

Maintaining your brand voice across every single product page takes work, especially as you grow, but it's one product page best practice that鈥檚 definitely worth it. Customers notice when things feel cohesive, and they definitely notice when they don't.

Product Page Best Practice #3: Show Real People Using Your Products

When someone can see how your product actually looks on a real person or in a real home, it bridges the gap between what they're imagining and what they'll actually get. 

Stock photos are fine, but they鈥檙e not authentic like a customer鈥檚 iPhone photo. People trust strangers reviewing stuff on the internet, even when they don鈥檛 trust brands. It鈥檚 always a good time to invest in UGC, build up reviews, and flex other forms of social proof. 

Product Page Best Practice #4: Know Your Platform

Selling on Amazon is nothing like selling on your own website, which, equally, is nothing like getting your products into Superdrug, Boots, or any other retailer. Each platform has its own rules, its own audience, and its own best practice. 

A long-form, personality-driven description on your website might fall flat on a retail platform with more features-oriented guidelines. Brands should adjust tone and formatting to fit where they're selling, rather than using a one-size-fits-all approach. Failure to abide by platform guidelines

Product Page Best Practice #5: Keep It Simple, Stupid

The best product pages tell you what matters most about a product, ASAP.

You should be able to quickly scan a product page and understand exactly what you鈥檙e buying. Don鈥檛 make shoppers scour a wall of text to find vital sizing, dimension, or material information鈥� that鈥檚 what bullet points are for. 

Make sure to hit the key points 鈥� like features, benefits and any use cases 鈥� keep them clear, and let shoppers make their decision.

The Bottom Line

Building great product pages comes down to paying attention to the details that actually matter. Make sure search engines and AI tools can find you, keep consistent with your branding, show real social proof, adapt based on the platform you鈥檙e selling on, and keep your messaging clear.

Phew! Got all that? Writing a great product description often means juggling lots of competing priorities, but putting the work in upfront to get it right is worth it in the long term. Hopefully this list should help you get started 鈥� but if you need some more concrete examples, check out our deep-dive into the best-of-the-best PDPs spotted in the wild.

Recent articles

It feels like everyone I know is asking the same question: How can my website rank on ChatGPT? For sure, the way customers search for products is undoubtedly changing. The 鈥淪EO is dead鈥� pundits have set up again, but this time, their doomsaying actually feels real.

The problem is, AI search optimization isn鈥檛 all that simple. For starters, AI Search itself is still changing. There isn鈥檛 a status quo yet.

In the past few months, AI search tools like ChatGPT have rolled out major updates that transform how products are found and recommended. If you鈥檙e a business owner, marketer or ecommerce team lead, these changes affect you: they redefine what it means to be 鈥渧isible鈥� online. Traditional SEO (that is, getting to the top of Google) is no longer the only game in town 鈥� now we also have to consider 鈥�AI SEO鈥�, or what some are calling 鈥淎nswer Engine Optimization鈥� (AEO for short).

The good news? By understanding how AI search engines work, you can adapt your eCommerce strategy to rank in ChatGPT and other AI search engines.

Let鈥檚 break down the latest developments in AI search, and how you can optimize your product listings so that your business stays front-and-center. 

Is ChatGPT the future of online shopping?

OpenAI鈥檚 ChatGPT is famous for chatting. Who鈥檇 have guessed? But as of early 2025, it鈥檚 also a pretty powerful search engine. In late 2024, OpenAI bestowed ChatGPT with the ability to search the web for up-to-date info. Now, when you ask ChatGPT a question, it can pull in current information and . Building on that, 鈥� essentially turning ChatGPT into a personal shopping assistant.

What does this look like? Let鈥檚 say you type: 鈥淚 need a good office chair for back pain under $300.鈥� ChatGPT will do a web search and then answer you with a short list of chairs. For each recommended product, It might say something like, 鈥淓rgoComfort Deluxe Chair 鈥� $249 鈥� Great lumbar support and adjustable height鈥� and then give a link to the retailer鈥檚 site. You can follow up with questions like 鈥淒oes it come in black?鈥� and ChatGPT will dig further. In essence, ChatGPT is trying to give you the answer you need (the chair to buy) all in one go, rather than making you sift through search results.

A few important things to note about ChatGPT鈥檚 shopping results:

• They include sources and stay up-to-date. ChatGPT will often cite where it found the info (e.g., 鈥渁ccording to this Wired review鈥︹��). And since it鈥檚 using web search, it can reference the latest products and prices 鈥� an improvement from earlier versions that only accessed information up to 2021.

• No ads (for now). Unlike Google, which is filled with sponsored results for shopping queries, ChatGPT鈥檚 recommendations currently have . (like reviews and specs) pulled from third-party sites and structured databases, not based on any advertising arrangement. They鈥檝e hinted that affiliate links or 鈥渢asteful ads鈥� might come later, but as of early 2025, it鈥檚 organic. This levels the playing field 鈥� your product can rank in ChatGPT if it鈥檚 relevant and well-reviewed, not just if you outbid others.

• Personalization on the horizon. This means in the near future, if someone has previously asked ChatGPT about back pain relief, the AI might remember that and suggest ergonomic office chairs that help improve posture. This features hasn鈥檛 fully launched yet (and some regions like the EU may not get it due to privacy), but it signals the potential future of AI search: ultra-tailored recommendations.

Are your products optimized for ChatGPT and AI Search?

Let鈥檚 look at some strategies to increase your product鈥檚 visibility on ChatGPT.

1. Answer your customers鈥� questions

This is the time to beef up the FAQ sections on your website and product pages. Think about questions customers ask in support emails, in reviews, or on forums. Does your product page content answer those? If not, add a Q&A or a simple paragraph. For instance, if you sell a blender and people often ask in reviews 鈥淐an it crush ice?鈥�, make sure your page explicitly states 鈥淵es, this blender can crush ice 鈥� it has stainless steel blades and a 鈥榩ulse鈥� function for ice crushing.鈥� This way, if someone asks an AI 鈥淐an the XYZ blender crush ice?鈥�, the AI can confidently pull that from your page.

2. Use Schema Markup & Structured Data:

ave feature X鈥� might directly rank that Q&A answer. Use Product schema to feed the AI details like price, brand, dimensions, etc., which should also be mentioned in a best-in-class product listing. 

3. Focus on contextual, natural language content: 

AI search is all about context. Instead of just dumping keywords, product descriptions that rank in ChatGPT provide context around the product鈥檚 use. 

Paint a picture: 鈥淭his tent is perfect for winter camping 鈥� tested to stay warm in sub-zero temperatures.鈥� A sentence like that covers a lot of potential queries (鈥淚s it good for winter?鈥�, 鈥淲hat temperature can it handle?鈥�). It鈥檚 also just more conversational and more aligned with how people ask questions. In this way, the sentence includes related terms without feeling forced (winter, sub-zero, warm 鈥� all relevant, naturally). 

Remember, AI understands synonyms and implicit meanings. If your content only lists bullet points like an old catalog, you might be missing out. Expand it into short paragraphs that teach the customer something. To give another example, including a line like 鈥�This 55鈥� 4K Smart TV features an OLED display, delivering deep blacks and vibrant colors鈥� on your page not only helps traditional SEO but also gives AI a juicy fact to latch onto. And it will likely engage your human visitors more too!

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4. Highlight and encourage customer reviews (The more detailed, the better):

On your own website, consider showcasing some customer testimonials or reviews that mention specific uses. 鈥淚 took this tent on a 3-night trip in snow 鈥� it held up wonderfully.鈥� A quote like that, if indexed, could be gold for an AI answering 鈥淚s this tent durable in snow?鈥� 

On Amazon or other platforms, encourage customers to leave feedback on specific aspects (鈥淗ow was the fit?鈥�, 鈥淒id the product meet your expectations for X?鈥�). More detailed reviews = more material for AI to work with. 

Some brands even use inserts or follow-up emails to ask for feedback on what shoppers used their product for. Just be sure to follow platform rules on how you can solicit reviews.

5. Keep content fresh and up-to-date

AI tools favor current information, especially for queries like 鈥渓atest鈥� or 鈥�2025 best鈥︹��. Update your blog posts or buying guides regularly. If you have a 鈥淭op 10 gifts鈥� article from 2022 that still gets traffic, consider making a 2025 version and linking to it on the page. ChatGPT鈥檚 search might surface the newer article first. Also, if your product has a new version or update, update the listings and descriptions promptly. Don鈥檛 let outdated info linger 鈥� you don鈥檛 want the AI summarizing an old spec sheet.

6. Monitor AI mentions and citations

Start paying attention to whether and how your brand appears in AI-generated answers. You can do some tests: ask ChatGPT (with web browsing enabled) a question relevant to your niche and see what it cites. Do the same on Perplexity or Bing鈥檚 AI chat. If competitors are being cited but you aren鈥檛, take a hard look at what sources are being used. Are they major media reviews? Specific blogs? Maybe you need to focus on PR to get covered in those sources, or improve your own site鈥檚 content to outrank them. Some SEO tools are beginning to offer 鈥淎I search result鈥� tracking. While still early, it might be worth experimenting with those to see how you鈥檙e faring in AI answers versus traditional search.

7. Embrace up-and-coming best practices to rank in AI search

AEO is still a relatively new field, but some clear best practices are emerging. For instance, . 

Another up-and-coming best practice for AI search is the use of llms.txt 鈥� (similar to robots.txt) where you can provide instructions or data to AI language models crawling your site. It鈥檚 not widely adopted yet, but keep it on your radar as a potential tool to ensure AI models interpret your site correctly. 

You should also aim to structure your URLs and meta tags in a way that鈥檚 AI-friendly. For example, having (instead of random IDs) might give AI a hint about content, making it more likely that your content ranks in ChatGPT and other LLMs.

Even meta descriptions are seeing a new use: some experiments show that . So instead of a fluffy marketing meta description, you might opt for a concise summary of the key info on the page 鈥� essentially answering a likely question in 160 characters. This could help your chances of being picked up as a source by AI search engines.

8. Maintain a strong multi-channel presence 

Since AI engines pull their data from all over the internet, placing your product information and maintaining a positive reputation across multiple channels helps. This means continuing efforts in content marketing (blogs, guides, videos), PR (getting expert reviews or mentions on reputable sites), and community engagement (your brand reps answering questions in relevant forums). 

For instance, if there鈥檚 a popular Q&A site or a subreddit for your industry, being present there (in a genuine, helpful way) can indirectly boost the AI鈥檚 awareness of your brand. 

So, the more you legitimately contribute to those conversations, the better for your ChatGPT ranking.

How to optimize for ChatGPT and AI Search in 2025

So, what鈥檚 the takeaway? The way people find products is evolving, and fast. AI search isn鈥檛 replacing traditional search overnight, but it鈥檚 certainly supplementing it in important ways. Shoppers are getting used to the idea of asking a question and getting a direct answer.

Optimizing for ChatGPT and AI search isn鈥檛 as intimidating as it might sound. In fact, it鈥檚 largely about doubling down on what we鈥檝e always known to be good eCommerce practices: provide clear, thorough information; understand what your customers care about and speak to those points; keep your data accurate; and deliver a great product experience that people will talk about. The AI part just means the format of discovery is changing 鈥� from lists of links to conversational snippets.

For now, start implementing the strategies above. Update one product page and then test it: ask ChatGPT, 鈥淚s [Your product] good for XYZ?鈥� See what comes back. It can be an eye-opening exercise. 

And remember, we鈥檙e still early in this AI search revolution. Larger changes (and opportunities) are surely on the horizon, like deeper integration of shopping into these AI platforms, or new AI search entrants. By staying informed and agile, you can turn these changes into a competitive advantage.

In 2025 and beyond, the brands that thrive will be those who provide the most useful and relevant information 鈥� because that鈥檚 what these AI search engines are looking to deliver to users. Make your content count, and your products will be the ones that these smart assistants rank and recommend first. The world of search might be getting more complex behind the scenes, but the mission remains the same: connect people with what they want. If you help the AI do that with honest, helpful content, it鈥檚 likely to reward you by putting your business in front of more eyeballs (or ears, if they鈥檙e listening to the answer!).

In short: be the answer, and customers will find you 鈥� no matter how they ask.

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Why SEO Title Optimization Matters 

SEO titles are your first impression in search. They鈥檙e what potential customers see first on Google 鈥� and they play a major role in whether your product gets clicked or ignored. Google considers the title tag one of the most important on-page elements when determining the relevance of your content to a search query. 

For eCommerce brands, title optimization is even more critical. Effective titles don鈥檛 just help you rank well in organic search 鈥� they鈥檙e also essential for appearing (and performing) in Google Shopping feeds. That鈥檚 why every title must strike a careful balance between SEO best practices and compliance with Google Merchant Centre (GMC) requirements. 

At 魅影直播app下载安装最新版本2023, we believe every word should work harder. A well-optimised title improves discoverability, drives higher click-through rates, and ultimately helps your products convert better. In a competitive market, optimized titles should become your edge. 

Title Tags vs. Product Titles (H1 Tags) 

What鈥檚 the difference between Title Tags and Product Titles (also known as H1 tags)? Many businesses confuse these elements, but they serve different purposes.

What are product titles?

A product title is the product鈥檚 visible headline on a webpage. Product titles provide structure for users and can be linked to a title tag. They鈥檙e also known as H1 Tags. 

Example: <h1>Sony WH-1000XM5 Wireless Noise Cancelling Headphones</h1> 

What are title tags?

Title tags appear in search engine results and browser tabs. They heavily influence SEO rankings, as Google reads the title tag within a webpage鈥檚 html 鈥� which is why they鈥檙e also known as SEO titles. SEO titles are often the first signal of the page鈥檚 main topic, and are usually built by using a product title (H1 Tag). 

Example: <title>Sony WH-1000XM5 Wireless Noise Cancelling Headphones 鈥� Silver</title> 

Both title tags and product titles should work together to create an effective user-friendly experience. However, it鈥檚 particularly vital to understand SEO title best practices if you want your products to show up in search engines.

SEO Title Best Practices

SEO Title best practices differ based on search intent

An optimized SEO title should suit the user鈥檚 search intent. Different customer behaviours shape how people search for products, meaning a one-size-fits-all approach won鈥檛 work. 

• Electronics 鈥� Shoppers often search by brand and model number, making it crucial to prioritise these elements near the start of your SEO title tag.

• Fashion & Apparel 鈥� Consumers may search by style, colour, or fit. Best practices is to include these attributes in a natural order within your SEO title to enhance product relevance.

• Home & Kitchen 鈥� Features like size, material, and functionality should be highlighted in your SEO title, as they鈥檙e major influences on homeware buying decisions.

• Beauty & Skincare 鈥� Key product benefits, ingredients, and skin type suitability are major drivers in search queries 鈥� so be sure to include them in your SEO title tag.

How to structure title tags for maximum SEO impact 

Word order matters. Google interprets meaning based on how terms are arranged 鈥� for example, 鈥渕ilk chocolate鈥� and 鈥渃hocolate milk鈥� aren鈥檛 the same. A well-structured title tag will help search engines match your product to a shopper鈥檚 intent as accurately as possible.

Follow these general guidelines for SEO title optimization:

• Prioritise search behaviour 鈫� Structure titles based on how customers search in each category. 

• Start with the brand first (if well-known) 鈫� 鈥淎didas UltraBoost Running Shoes 鈥� Black, Size 10.鈥� 

• Highlight key features 鈫� Material, size, colour, and functionality should be included based on importance relative to user search behaviour for that category.  

• Place important keywords early 鈫� Google prioritises the first few words in a title. 

• Use natural language 鈫� Avoid keyword stuffing; titles should be search-friendly and compelling. 

Here鈥檚 a couple of examples demonstrating optimized title tag structure by category:

1. Category: Electronics 

   Optimised Title Example: Sony WH-1000XM5 Wireless Noise Cancelling Headphones 鈥� Silver 

2. Category: Homeware 

   Optimised Title Example: Ninja Blender, High-Speed (Black, 64 oz) 

3. Category: Beauty 

   Optimised Title Example: The Ordinary Niacinamide 10% + Zinc 1% Serum 鈥� 30ml 

Read more like this

How to show up in ChatGPT and AI Search

Ultimate guide: How to optimize product descriptions for Google Shopping

5 trends predicted to transform ecommerce in 2025

Looking for an AI solution for SEO Title Tag generation?

魅影直播app下载安装最新版本2023鈥檚 AI Copywriter helps eCommerce businesses create SEO title tags at scale 鈥� automating the manual writing process and ensuring high-quality, search-friendly results. 

魅影直播app下载安装最新版本2023 structures each SEO title based on real-world search behaviour, prioritising the most relevant terms. Automating title generation saves time while ensuring consistency and high quality across your entire product catalogue. Whether you're updating titles directly on your eCommerce website or maintaining a product feed for Google Shopping, 魅影直播app下载安装最新版本2023 can generate and export SEO title tags tailored to your system.鈥� SEO optimization becomes more complex at scale because product titles vary dramatically between categories. 魅影直播app下载安装最新版本2023 solves this by applying tailored logic to each category, allowing businesses to maintain quality and relevance without needing to manually adapt every title format. Our AI Copywriter even takes into account your website鈥檚 structure, including how your pages and URLs handle product variants like colour and size. This ensures that SEO titles remain accurate, scalable, and aligned with your eCommerce architecture. 

By handling both SEO optimization and GMC compliance, 魅影直播app下载安装最新版本2023 ensures SEO titles perform well in organic search and Google Shopping, increasing visibility and sales. 

Final Thoughts 

Your SEO title is not just a string of words. Treat it as a powerful tool to increase visibility, improve rankings, and drive sales. By balancing search intent, technical considerations, and automation, you can create compelling titles that both search engines and customers love. The sooner you start optimising, the sooner your rankings will climb!

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This blog is part of our series launched on International Women鈥檚 Day. In this series, some of the amazing women in the 魅影直播app下载安装最新版本2023 team share their career journeys, industry insights, plus inspiration and advice for anyone thinking of breaking into a similar career. 

Hi! I鈥檓 Sara.

I鈥檓 the Head of Data Science at 魅影直播app下载安装最新版本2023, where I get to do what I genuinely enjoy most: thinking about big problems and how to solve them with data science. I love working at the intersection of data science and engineering, designing new systems and solving complex problems that bridge both worlds.

My (definitely not straight-line) journey into tech

If you're looking for the story of someone who knew they wanted to be in data science from age 8, coded their first neural network at 12, and followed a perfectly plotted path to their dream job... that's not me.

I've always loved math, but somehow ended up at . I quickly realised this wasn't quite right for me 鈥� I wanted more quantitative work. The silver lining was that I learned how to communicate technical concepts in business settings, a skill that's proven invaluable.

Determined to course-correct, I pursued a Business Analytics masters at Warwick to focus on data science. My dissertation on dynamic pricing optimisation in retail gave me my first taste of applying algorithms to real business problems.

After graduation, I joined Deloitte and immediately gravitated toward analytical projects. Over three years, I worked across a surprising range of industries. Highlights included building analytics tools at the BMW assembly plant and working with McLaren's F1 strategy team. Nothing beats the pressure of knowing your models might influence race-day decisions.

Three years ago, I made the jump to 魅影直播app下载安装最新版本2023. After years in consulting, where projects would end just as they got interesting, I was drawn to the opportunity to build something lasting, to see products evolve over time. My first project actually leveraged my postgrad work on price optimisation for NFL, which was a satisfying full-circle moment.

A day in the life of a data scientist

The honest (and clich茅) answer? There isn't a typical day in the life of a data scientist. That's what keeps this job interesting.

Some days I'm deep in code, building and testing models. Other days I'm in meetings, translating technical concepts for stakeholders or collaborating with engineers on implementation plans. I might spend a morning reviewing a junior team member's approach to a problem, then an afternoon researching a new technique we could apply to an upcoming project.

Recently, much of my time has been focused on LLM projects - figuring out how to effectively integrate these powerful but sometimes unpredictable models into practical business applications.

The evolution of data science and common misconceptions

I鈥檇 say the biggest misconception about data science is that it鈥檚 all about building complex models. The reality is that most of the job is understanding the problem, wrangling messy data, and figuring out how to implement solutions that actually work in production.

As for evolution, I've seen data science transform from a field where we had to fight for computational resources to run basic models to one where we have incredible tools at our fingertips. The rise of LLMs has been particularly fascinating 鈥� we're suddenly able to solve problems that seemed impossible just a few years (or even months) ago.

Looking forward, I think we'll see increasing focus on responsible AI development and deployment. The technical challenges are shifting from "can we build this?" to "should we build this, and how do we ensure it works fairly and reliably?"

What I love about working at 魅影直播app下载安装最新版本2023

My favourite thing about working at 魅影直播app下载安装最新版本2023 is the trust and autonomy, definitely. I get to work with cutting-edge models and have genuine support for R&D work. But more than anything, my favourite part has got to be the people - a team that's technically brilliant but doesn't take itself too seriously.

Read more articles about life at 魅影直播app下载安装最新版本2023

In conversation with 魅影直播app下载安装最新版本2023鈥檚 Head of Design

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Press release: 魅影直播app下载安装最新版本2023 celebrates prestigious culture award win

My advice for starting a career in data science or tech

Be honest about what you don't know, but confident in your ability to figure it out. The field of data science changes so rapidly that even experienced professionals are constantly learning. The ability to say "I don't know how to do that yet, but I can learn" is far more valuable than pretending to have all the answers.

Also, don't underestimate the value of communication skills. I may have resented some aspects of business school at the time, but being able to explain complex concepts to non-technical stakeholders has opened more doors for me than any algorithm I've implemented.

If your background isn't traditional, don't apologise for it - leverage it. Different perspectives lead to better solutions, and some of the most interesting work happens at the boundaries between disciplines.

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Want to write a persuasive product description but not sure what best-in-class copy looks like? You鈥檙e in the right place 鈥� because the easiest way to learn is with examples! In this article, I鈥檒l be breaking down 7 key features of a stand-out product description for D2C or retailer sites, with 8 real-life examples of product descriptions from a range of industries.

But first 鈥� why are product descriptions so important, anyway? 

A product description is a piece of marketing copy that explains what a product is, what it does, and why your shoppers need it in their lives. A whopping 鈥� And that alone is a serious reason to start taking stock of your product descriptions.  

More than that though, your product description is your opportunity to show your customer that you genuinely understand their wants and needs. You know how they spend their time, you get what they鈥檙e looking for from their purchase, you fundamentally speak their language. Connect with your customer. Use your brand voice to show them that the two of you are on the same level. Only then 鈥� by putting your customer first 鈥� can you position your product as perfect for them in a way that鈥檚 genuinely convincing. 

At the same time, don鈥檛 underestimate your product descriptions are the prime SEO retail estate that they are. Take advantage of your product copy to predict common questions or repudiate doubts, helping shoppers visualise exactly how your product will fit into their lives. If you鈥檙e selling a coffee machine, reassure your customers that it鈥檚 easy to set up: they don鈥檛 have to worry about a complicated configuration that will take them hours to work out. Not only will you strengthen trust, answering common questions is a great way to land a , as well as strategically adding into your copy. With enough research, your PDPs should bring highly motivated, organic traffic straight to your site. 

Sounds like a lot of work? Maybe. But if you get your product descriptions right, you鈥檒l be rewarded with more traffic, more conversions, and sky-high customer satisfaction.  

So鈥� want to learn what to include to write a product description that actually works? Read on for the ultimate guide to eCommerce product description best practice 鈥� with real-life examples. 

1. Features vs Benefits 

A five-star product description doesn鈥檛 just explain what a product is 鈥� it tells the customer why the product matters. In other words, don鈥檛 just talk about your product鈥檚 features when you could be selling its benefits too. Features refer to everything the product does 鈥� its specifications, attributes or functionality. Benefits explain how those features solve a customer鈥檚 problem or improve their life.

Here鈥檚 a few handy examples to explain the difference between the two:

1. If your product is a Rucksack, a feature could be Wide, padded shoulder straps 鈥� and a benefit might be Say goodbye to back pain!

2. If your product is a Dress, a feature could be Sustainably sourced silk 鈥� and a benefit might be Look good and feel good with a clear conscience

3. If your product is a Wristwatch, a feature could be Automatic time adjustment 鈥� and a benefit might be Never be late again

4. If your product is a Phone, a feature could be High-quality photo capture 鈥� and a benefit might be No need to buy a digital camera

To put this another way 鈥� and to quote the legendary Harvard Business School professor Theodore Levitt (two birds with one stone!): 鈥淧eople don鈥檛 want to buy a quarter inch drill. They want to buy a quarter inch hole.鈥� 

However much you love your product, for your customers, what they buy is often just a means to an end. People don鈥檛 just want a Ferrari: they want to drive fast, or display wealth and status. And people don鈥檛 want a luxury coat: they want to be stylish, warm, and the centre of attention. The best ecommerce copywriting incorporates benefits, because doing so creates a deeper emotional connection with potential customers, building trust and increasing their engagement and conversion.

Here鈥檚 a great example of that in practice from . 

鈥淭reat your feet to the ultimate comfort with these Ice Cream Socks! Crafted from soft, breathable combed cotton, these delightful socks boast a charming ice cream design that鈥檚 sure to sweeten your day. Featuring reinforced heels and toes, they provide long-lasting durability and a snug fit, making them the perfect choice for any ice cream enthusiast.

• Reinforced heel & toe鈥�

This best-in-class product description is a short, one-paragraph piece of copy describing a relatively simple product. At the end of the day, someone searching for socks online is probably going to end up buying socks. They鈥檙e more of a necessity than an impulse buy, and don鈥檛 require much education or technical specs.

With this in mind, Happy Socks uses its description to fantastic effect, using benefits to highlight how the Ice Cream Socks stand out from their numerous potential competitors. The 鈥渟oft, breathable combed cotton鈥� promises 鈥渢he ultimate comfort鈥�, while the emphasis on the 鈥渞einforced heels and toes鈥� alleviate any doubts about the material quality. As a customer reading this, you know that you won鈥檛 have to worry about potential holes 鈥� these socks will be with you for the long game. 

2. Know your audience鈥檚 pain points 

The best way to hone in on your product鈥檚 benefits is to make sure you understand your customers鈥� pain points. 

As a quick exercise, put yourself in the shoes of a customer shopping for cosmetics. You regularly wear makeup, but you鈥檙e still testing and experimenting with new products. Maybe you love how contour looks on other people, but on you it never ends up quite the way you want it. It鈥檚 always a bit too streaky, or greasy, or patchy by the end of a long day. You wonder if you could find a better shade match for your skin tone, because somehow it just doesn鈥檛 look natural鈥� but with so many options out there, you鈥檙e not sure where to turn. 

After a quick Google search, you stumble upon And trust me, it鈥檚 a masterclass in addressing customer pain points鈥�

Here鈥檚 the product description: 

鈥淕ive the complexion a naturally lifted look with Rare Beauty Soft Pinch Liquid Contour, an easy-to-blend liquid contour created for a range of skin tones. This contour is ideal for adding depth to the natural contours of the face, such as the jawline, chin, forehead, nose and hollows of the cheeks.

With a buildable, streak-free makeup formula, this Rare Beauty Liquid Contour helps enhance and add dimension with shadows that look real. Excellent for layering under or over makeup, this formula is never muddy, cakey, greasy or patchy.

Created for a range of skin tones, Rare Beauty Liquid Contour has seven shades made with long-lasting pigments that provide all-day wear.

Key Benefits

• Works to create a naturally lifted look

• Easy-to-blend liquid formula

• Helps enhance and add dimension with shadows that look real

• Buildable, streak-free formula

• Long-lasting pigments provide all-day wear鈥�

All in all, there鈥檚 a lot to like here: SpaceNK have written an evocative, long-form description, with clearly scannable bullet points. Let鈥檚 zoom in on some of the pain points though to understand why this is such a great product description example.

First up: 鈥淚鈥檓 worried that my contour doesn鈥檛 look natural!鈥� 

Space NK鈥檚 copywriter addresses this concern throughout the product description, weaving in the keyword 鈥渘atural鈥� at multiple points. Wearing the Soft Pinch Liquid Contour, will 鈥渘aturally lift鈥� your complexion, add depth to 鈥渢he natural contours of the face鈥� and create shadows that genuinely 鈥渓ook real鈥�. The description goes all out to minimise doubt: this is the perfect no-makeup makeup.

And here鈥檚 another example: 鈥淢y contour never lasts the whole day 鈥� by lunchtime, it already looks patchy!鈥�

Again, no worries! The description highlights the product鈥檚 鈥渓ong-lasting pigment鈥� (in other words, a product feature), and follows up with why that鈥檚 relevant to the customer (and there鈥檚 the benefit). Long-lasting pigment provides all-day wear鈥� ready to hit the Add-to-cart? 

3. Embrace your brand鈥檚 tone of voice

As once said, 鈥淧DPs are the new homepage鈥� 鈥� and in 2025, this has never been more true. 

Just six years ago, 36% of traffic鈥檚 first point of contact with your website was through your homepage. 27% of traffic first discovered your site via a product detail page. Now, though, these stats have been reversed.

Last year, . This means that nowadays, for many customers, their first鈥� perhaps only 鈥� major touchpoint with your brand is through your PDPs. 

This is why it鈥檚 so vital to make sure your PDPs reflect your brand. Missing descriptions or descriptions that don鈥檛 match your brand鈥檚 tone? They aren鈥檛 going to cut it. You can鈥檛 rely on your homepage to sell your brand鈥檚 narrative anymore 鈥� your PDPs need to sell your story too. You need whip-smart, brand-aligned copywriting鈥� and you need it for every product detail page across your entire site. 

Best-in-class copywriting means showcasing your products鈥� clear benefits, knowing your audience鈥檚 pain points, honing sophisticated SEO鈥� and doing all that without ever breaking out of your brand voice. 

At 魅影直播app下载安装最新版本2023, our AI copywriter & SEO expert generates and optimises best-in-class copy for your D2C site, while perfectly adhering to your brand鈥檚 tone of voice.

To showcase this, let鈥檚 look at two examples of copy with opposing tones of voice, for two equally brilliant 鈥� but very, very different 鈥� brands. 

Sophisticated tone

LK Bennett is a luxury British women鈥檚 clothing and fashion brand, whose product descriptions demand highly sophisticated copy. Here鈥檚 an example of how 魅影直播app下载安装最新版本2023鈥檚 AI copywriter channels this polished tone to describe

Here鈥檚 the product description: 

鈥淥ur Gigi pliss茅 polkadot midi dress offers timeless elegance, perfect for special evenings. This black fit-and-flare dress, crafted from recycled materials, features a polkadot print, pliss茅 pleats, and frill trims, culminating in a sophisticated V-neck and full length sleeves. Pair it with strappy heels and a stylish clutch bag for a complete ensemble.鈥�

The 魅影直播app下载安装最新版本2023 AI uses some really evocative adjectives to channel LK Bennett鈥檚 refined brand voice. 鈥淭颈尘别濒别蝉蝉鈥�, 鈥减别谤蹿别肠迟鈥�, 鈥渟辞辫丑颈蝉迟颈肠补迟别诲鈥� and 鈥渟迟测濒颈蝉丑鈥� all help customers associate the product with a classy, luxurious sophistication. At the same time, the copy doesn鈥檛 go into more detail than necessary, keeping the description scannable and direct. It鈥檚 a fantastic example of great product description copywriting for a luxury brand.

Playful tone

On the flipside, 鈥� again generated by 魅影直播app下载安装最新版本2023鈥檚 AI copywriter 鈥� takes a vastly different approach. 

Here鈥檚 the product description: 

鈥淢eet Clove, the sweet teddy bear who鈥檚 making sustainability snuggly! This beautiful, sustainably made 13鈥� bear has ultra-soft beige plush, a charming cream-colored bowtie and matching paw pads, and a modern design that seamlessly complements nursery d茅cor. Clove is crafted from recycled materials, from the packaging to the stuffing inside. Even the shipping bag is sourced from recycled materials! 

Baby GUND is proud to introduce our first line of sustainably soft friends, sourced from 100% recycled materials! Each friend is crafted with luxe, ultra-soft recycled plush, fiber fill, thread, and pre-consumer recycled beads. Only recycled packaging and labels were used. Each plush pal is also adorned with super-cute, baby-safe accessories, and all complement gender-neutral nurseries effortlessly, making this collection perfect as d茅cor and gifts for new parents. It鈥檚 our gift to future generations of cuddlers.鈥�

As you can see, 魅影直播app下载安装最新版本2023鈥檚 AI copywriter has embraced GUND鈥檚 soft and playful tone of voice to produce cute, light-hearted copy, replete with excited exclamations and alliteration that rolls off your tongue (鈥�sustainably snuggly鈥�, 鈥渃harming cream-colored鈥�). The AI copy mirrors the warmth and nostalgia that parents associate with Baby GUND, but also weaves in the brand鈥檚 commitment to sustainability in a way that feels natural. Chances are, it will resonate well with environmentally-conscious parents!

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4. Educate your audience 鈥� where appropriate!

Your eCommerce copywriting should empower your customers to understand what they鈥檙e purchasing. That鈥檚 pretty much a given, right? 

There鈥檚 a fine balance to maintain here, though 鈥� because not all products or brands will require the same level of detail. If your audience is primarily made up of subject matter experts, too much entry-level information could feel patronising and alienate them. Conversely, consumers looking to purchase everyday items like eggs or toilet paper might not care so much about long, informative descriptions: they just want to buy some eggs, no frills attached. We鈥檒l go into more detail about these scenarios in the next section. 

However, if you鈥檙e selling products that don鈥檛 fall into either of those two categories, detailed, educational copy can genuinely be a game-changer. If you鈥檝e got a USP that really makes your products stand out, make sure your customer knows exactly what makes your brand so special. 

Similarly, when selling to an entry-level audience, teaching your customer how to use your product will give them confidence in their purchase 鈥� and trust in your brand going forwards. It鈥檚 your job as a copywriter to make sure you hit the right level of detail for your customers. 

Let鈥檚 take a look at a great example of this with

鈥淚nstant radiance - achieved the good old-fashioned way. If you鈥檙e using a chemical exfoliant, try this cult self-preserving skin cleanser instead - we鈥檝e packed it with a bounty of beautiful ingredients to get your skin barrier in peak condition and removed the artificial preservatives into the bargain.

Ideal for complexions that feel shiny or dull, a blend of sea salt provides medium to strong buffing action to stimulate skin cell turnover, and deeply cleanse away dirt and pollution. As you scrub, deeply softening mango butter, coconut oil, glycerine and silken tofu leave your skin rejuvenated, glowy and smooth as silk. Softening and brightening, this self-preserving and alcohol-free version of our bestselling Ocean Salt has a slightly richer consistency than the original and still works wonders all over.

Leaving the world Lusher than we found it

Ocean Salt face scrub cleans up ecosystems as well as complexions! Our sea salt, harvested by hand and machine, helps birds find a place to rest, nest and feed. Sea birds love salt pans and our suppliers in Croatia, Spain, Turkey & Bulgaria make sure migrating birds have a safe and friendly place to stop over.

How to use:

Using a physical exfoliator allows you to tailor the intensity of your scrub so that it suits your skin perfectly and you don鈥檛 go too far. Apply generously to damp skin using a circular motion, rinse away and follow up with a good moisturiser.鈥�

Yep, I definitely learnt something from that product description. 

Lush is a brand that knows their audience inside-out 鈥� and that audience is environmentally conscious. While your average non-marine-biologist can鈥檛 be expected to know much about seabird nesting, Lush鈥檚 customers would probably be interested to know that their purchase is contributing to healthier ecosystems. Calling that out in the product description builds trust in Lush and its core brand values. By educating their customers, they鈥檙e proving that they care about the exact same things. 

And Lush don鈥檛 stop there, either. The 鈥淗ow to use鈥� section is another goodie, demonstrating the brand鈥檚 commitment to authenticity and transparency. Including this informational piece not only keeps Lush鈥檚 products super accessible, growing their customers鈥� confidence, but also subtly nudges their audience away from competitors鈥� chemical exfoliants.

5. But don鈥檛 teach your grandmother to suck eggs

鈥ike I mentioned, some audiences don鈥檛 need as much educating. Customers shopping for tech or hardware tend to be great candidates for neat, precise product copy with minimum waffle. 

Say you鈥檙e looking for something particularly technical, like a new hydraulic bottle jack. (What鈥檚 that, you ask? ) 

You鈥檝e got a list of specs your purchase should meet, and you want to compare products from a range of brands to make sure you get the right tool to fit your needs. 

For this kind of product, sensory, flowery language is typically a no-go in your product description: your customer just wants you to get to the point! That鈥檚 why in this case, it鈥檚 best practice to keep your product copy accurate and specific, with clear lists of features and use cases or applications. 

This product copy for Princess Auto was generated by 魅影直播app下载安装最新版本2023鈥檚 AI copywriter to meet that very brief. And surprise, surprise, it鈥檚

Here鈥檚 the example product description: 

This 12 ton portable hydraulic bottle jack combines low-profile design with steel and cast-iron construction. The electrostatically painted finish and automatic oil bypass system provide dependable operation for demanding automotive lifting tasks.

Features

Electrostatic Paint Finish: Ensures corrosion resistance and longevity

Two-Piece Handle Design: Enables transport and compact storage

Automatic Oil Bypass System: Prevents over-pressurization for improved safety

Low-Profile Design: Allows access to vehicles with minimal ground clearance

Steel and Cast-Iron Construction: Provides structural strength for high-capacity loads

Applications

Low-Profile Vehicles: Supports lifting of cars with minimal ground clearance

Industrial Equipment: Suitable for farm machinery and industrial equipment

Commercial Trucks: Assists with maintenance of large commercial vehicles

Agricultural Machinery: Enables servicing of farm vehicles and equipment

As you can see, this product description鈥檚 factual, highly-relevant bullets give the bottle jack tool the best chance to shine. 魅影直播app下载安装最新版本2023鈥檚 AI copywriter has made every word count: there鈥檚 no unnecessary fluff in this description, but it still hits all the relevant SEO keywords. There鈥檚 no risk of alienating the highly technical target audience with over-simplified educational information either 鈥� so Princess Auto鈥檚 customers can have confidence that this bottle jack is designed with their individual, practical needs in mind. 

6. Keep it scannable 

We鈥檙e all busy, busy people! And yes, that includes your customers.

While , that doesn鈥檛 mean all those customers will read every single line. Pay attention to how you structure your product description and make it as easy as possible for your customers to digest all the important info. 

To illustrate what I mean, here鈥檚 another example product description generated by 魅影直播app下载安装最新版本2023 AI. This time, we鈥檙e looking at

Here鈥檚 the product description example: 

Would you like to wake up to a brighter, more youthful complexion with this high-performing treatment that assists in your skin goals? Yes, please!

• Brighter, more even complexion

• Reduction in fine lines and wrinkles

• Improves cellular skin turnover

Why You'll Love It

Get ready to dazzle with the Diamond Cellular Night Restorative Treatment cream! This high-performing night treatment is your secret weapon for a radiant and youthful complexion. Formulated with the finest ingredients like Cellular Sal Acid and shea butter, it works wonders in improving skin cell turnover and deeply nourishing your skin. The result? A younger-looking, luminous glow that will have you looking and feeling your absolute best.

How It Works

The Diamond Cellular Night Restorative Treatment is a powerhouse in overnight skincare. Cellular Sal Acid boosts your skin's natural cell turnover, while shea butter provides intense nourishment. This treatment is infused with diamond powder to brighten your complexion, reduce the appearance of fine lines and wrinkles, and lift and redefine facial contours. Wake up every morning to refreshed, rejuvenated, and visibly younger skin.

Product Features

• Contains Cellular Sal Acid to boost skin cell turnover and renewal

• Enriched with shea butter for deep nourishment

• Infused with diamond powder to brighten your complexion

• Reduces the appearance of fine lines and wrinkles

• Helps lift and redefine facial contours

• Suitable for all skin types

• Supports collagen production for firmer skin

• Gives a radiant, glass-like finish

• Ideal for overnight repair

While this product description may be on the longer side (coming in at just over 230 words), every word still hits home. The bullet points and bolded headings make this copy scannable and easy-to-read, helping shoppers get to what they want to know, fast. 魅影直播app下载安装最新版本2023鈥檚 AI copywriter pulls off this skim-friendly structure without compromising on content, either: this best-in-class product description is firmly aligned to Oriflame鈥檚 distinct, brand-level tone of voice. that are emotionally-charged, persuasive and drive excitement are sprinkled throughout the copy 鈥� including 鈥�radiant鈥�, 鈥渞别箩耻惫别苍补迟别诲鈥� and 鈥渋ntense nourishment鈥�. 

And if you鈥檙e still unsure how to write a scannable product description, these quick tips for best practice might help (I鈥檝e kept them scannable in their own right!):

• Clear section headings 

• Front-load the most important information first 鈥� shoppers won鈥檛 always scroll

• Avoid long, intimidating paragraphs

• Bulletpoint key features and benefits 

• Sprinkle in 鈥減ower words鈥� that grab attention

• Add an FAQs section to answer common questions

• Include a comparison table with key specs if relevant

7. Address common search queries

Last but not least, let鈥檚 talk about SEO keywords. 

Here鈥檚 a quick overview before we dive deeper: 

Short-tail keywords are broad search terms that typically consist of one to three words (e.g., "AI copywriting"). They have high search volume, high competition, and less specific intent.

Long-tail keywords are more specific and usually longer phrases (e.g., "AI-generated product descriptions for ecommerce") with lower search volume but higher conversion potential because they match more precise user intent.

For SEO, long-tail keywords are valuable for attracting targeted traffic, whereas short-tail keywords help with brand visibility.

Great ecommerce copywriting should include a combination of relevant long-tail and short-tail keywords within the product description, but long-tail keywords typically take priority. This is because users searching for long-tail keywords (e.g., "black leather hiking boots for men waterproof") generally have more intent to purchase. In contrast, short-tail keywords are often better suited to titles, meta descriptions and product categories, as they鈥檙e broader and less targeted towards search queries from high-intent customers. 

Take a look at for a brilliant example of a product description that addresses common search queries:

• Collectible bistro model 鈥� Immerse yourself in the charm of French caf茅 culture with the LEGO Icons French Caf茅 building set for adults

• In the box 鈥� This home office decor kit includes elements to build a classic French bistro with a facade, hanging flowerpots and ornate seating

• A detailed model building set for adults 鈥� Open the double doors to reveal a small seating area with regal wallpaper and dark-wood furnishings

• Bookshelf decor 鈥� Make a DIY desk decor for the home or office with a detailed model kit featuring a slim profile and flat back for shelf display

• Gifts for coffee lovers 鈥� This LEGO set for adults makes a great anniversary gift for men and women, for fans of LEGO model kits, food and travel

• 3D building instructions 鈥� Build like never before with the LEGO Builder app where you can save sets, track progress, zoom in and rotate models in 3D

• Welcome to the zone 鈥� Discover a space for relaxation with the inspiring range of creative DIY building sets (sold separately) designed specifically for adults

As you can see, Lego鈥檚 product description gets high marks for keyword optimisation, without the description feeling bloated and full of unnecessary filler.
The copy does a great job of answering the questions 鈥渨ho is this for?鈥� and 鈥渉ow can it be used?鈥� by emphasising the set鈥檚 varied appeal to hobbyists ("detailed model building set for adults", "bookshelf decor"), travellers ("French caf茅 culture", "food and travel") and gift buyers ("anniversary gift for men and women", "gifts for coffee lovers"). Lego are casting their net wide, ensuring they maintain their appeal to the diverse variety of customers within their broad audience. 

And that鈥檚 a wrap! Hopefully, with this best practice in mind, writing the awe-inspiring product copy of your dreams feels more achievable than it did 10 minutes ago. And if you鈥檇 like to learn more about 魅影直播app下载安装最新版本2023鈥檚 AI copywriter and SEO expert for eCommerce,  

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Are poor product descriptions holding back your Google Shopping campaigns? 

If your Google product listings are too vague, you鈥檒l lose clicks. If they鈥檙e too bloated, you鈥檒l get cut off mid-sentence. Worse still, if your Google Shopping description doesn鈥檛 align with your eCommerce site鈥檚 product detail page (PDP), you risk confusing customers, losing trust, and tanking your conversion rates.

So, what鈥檚 the right approach? How should you optimize your product descriptions for Google Shopping? And how do you balance brand consistency with platform-specific optimization? 

This guide has the answers. Packed with practical, no-nonsense best practices, we鈥檒l walk you through how to optimize your Google Shopping product listings for maximum visibility, better click-through rates, and more sales. 

To optimize for Google Shopping, prioritize consistency

First thing鈥檚 first, it鈥檚 important to prioritize a high-level of consistency between your Google Shopping descriptions and your PDPs.

There鈥檚 two simple reasons for this.

1. A consistent description helps build trust with customers. If potential shoppers see one description on Google Shopping and another on your website, it might cause confusion or mistrust.

2. Matching descriptions can improve your SEO and search engine ranking. It鈥檚 always a good thing to avoid conflicting information.

However, at the same time, your Google Shopping descriptions shouldn鈥檛 be word-for-word replicas of your website PDPs. When creating your Google Shopping descriptions, keep in mind鈥�

Google Shopping Character Limits:

Google Shopping has specific character limits for product titles and product descriptions, so if you鈥檙e aiming to follow Google Shopping best practice, you鈥檒l need to tailor your content to fit within these constraints.

Google Shopping titles can technically be up to 150 characters. However, because only 70 characters are typically displayed on Shopping ads and free product listings,

When it comes to descriptions, Google Shopping imposes a limit of a maximum of 5000 characters. However, again because Google only displays a limited number of characters for product descriptions in Shopping ads and free listings, . It鈥檚 best practice to list the most important details, such as size, material, intended age range or special features in the first 160鈥�500 characters.

In contrast, no such hard constraints exist for Product Detail Pages on your website. 

More like this

How to write winning product descriptions 鈥� with examples

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It鈥檚 best practice to avoid symbols and special characters in Google Shopping listings

Aside from character limits, there鈥檚 plenty of other best practice and optimization tips to bear in mind for Google Shopping product listings. One major bugbear is the use of special characters and symbols 鈥� these should both be avoided for effective Google Shopping SEO optimization. Why? Well鈥�

• Overuse of special characters, including trademark symbols, can sometimes delay or even block your Google Shopping campaign鈥檚 approval. This is because your special characters could be stripped out or encoded incorrectly on shoppers鈥� devices, which could lead to formatting errors in your Google Shopping feed. Naturally, this would send your product listing plummeting down in the rankings 鈥� not great for your Google Shopping SEO.

• At the same time, as mentioned above, Google Shopping titles and descriptions only give you a limited word-count to play with 鈥� and special characters take up valuable space. Symbols like 庐 and 鈩� don鈥檛 add SEO value and may not be meaningful to shoppers. A cleaner listing without these symbols is better practice for Google Shopping 鈥� the listing won鈥檛 get blocked, and ultimately, it鈥檚 just more user-friendly.

• You also shouldn鈥檛 use capital letters for emphasis within your Google Shopping description, because capitalized text is common in spam and untrustworthy ads. However, you should still use capitalization where it's appropriate, including for abbreviations, phone numbers, countries and currency. For example, 'ADHD', 'UNICEF', '1-555-CALL-NOW', 'UK' and 'USD', should all be capitalized. 

Google Shopping Best Practices

In summary, start actioning these Google Shopping optimization tips to ensure your products show up for your customers.

1. Use the same core product information across your website and Google Shopping to ensure consistency, but tailor the descriptions to fit Google Shopping best practices.

2. Include the most important information and keywords within the first 70 characters of your Google Shopping title.

3. Emphasise key features and benefits in the first 500 characters for Google Shopping descriptions.

4. Ensure your Google Shopping descriptions aligns with your brand tone and message.

5. Avoid symbols, special characters, and unnecessary capitalization in your Google Shopping product listing.

6. Always check Google Shopping鈥檚 policies to ensure compliant, optimized listings.

For effective optimization of your Google Shopping listings, you鈥檒l need to find a balance between mirroring the content of your on-site PDPs and tailoring content to the platform鈥檚 specific requirements. Clear, concise, and well-structured descriptions improve both visibility and click-through rates, helping customers find the information they need quickly.

By prioritising key details in the first 500 characters, avoiding unnecessary symbols, and aligning with Google Shopping鈥檚 feed policies, you can create SEO-optimized product listings that perform effectively without compromising brand integrity. Keeping these best practices in mind will help you make the most of Google Shopping as a valuable sales channel.

Good luck! 

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Savant London wrapped up last week with lots of insightful keynotes, productive meetings, and some seriously spicy turmeric shots. In case you missed the event or didn鈥檛 hear all the talks you planned to, we鈥檝e done the decent thing and recapped all the key takeaways here. 

Read on to find out why鈥� 

1. Personalisation is important 鈥� but it isn鈥檛 always what you think

2. Customer expectations for privacy differ depending on the market 鈥� here鈥檚 how to get it right

3. It鈥檚 crucial to make sure your business is on the same page

4. Generative AI is the future, and it鈥檚 happening now

5. Unlocking your customers鈥� lifetime value can lead to huge wins

What is Savant London? 

Savant London is a calendar must for anyone working in eCommerce. 2025鈥檚 event brought together over 250 senior leaders in eCommerce, marketing, digital, and customer experience from the UK's most dynamic brands, retailers, and manufacturers. 

Personalisation is important 鈥� but it isn鈥檛 always what you think

Personalisation doesn鈥檛 just mean tailored recommendations for repeat or first-time customers. Instead, try going back to basics and start with crafting your brand鈥檚 narrative and content strategy. Think about what will resonate with your customers at different stages of their buyer journey, and make content that you know they鈥檒l want to consume. This is a key aspect of personalisation that will really help your brand stand out. 

For instance, sharing your brand鈥檚 or founder鈥檚 story is a great touchpoint for customers at the Top and Middle of Funnel, in the 鈥渁wareness鈥� or 鈥渃onsideration鈥� stages of the buyer journey. A key cornerstone of 鈥檚 personalisation strategy is posting make-up tips and tutorials on YouTube for their older audience of post-menopausal women, whose needs differ from the younger demographic that most cosmetic products market to. This empathetic personalisation strategy shows customers that they鈥檙e truly understood, nurturing brand loyalty by predicting the emotions around, questions about, and situations in which customers will actually use the brand鈥檚 products. 

Customer expectations for privacy differ depending on the market 鈥� here鈥檚 how to get it right

While privacy legislation varies by region, beyond that, it鈥檚 also important to pay attention to customer expectations in order to avoid alienating potential shoppers. Whilst in the US, a customer might receive 4 emails a week without batting an eyelid, sending 1 email per week in the EU could risk an onslaught of unsubscribes. And when it comes to emerging markets like Brazil, prevailing attitudes there are ahead of the curve when it comes to data privacy. Creating a thoughtful communications strategy that tailors to customer expectations by region is a must in order to build a strong relationship of trust with potential buyers and ensure the right message hits at the right time.

It鈥檚 crucial to make sure your business is integrated

Do Marketing and Sales use the same words to describe your products, campaigns and metrics? Does Operations use the same vocabulary as your call centres? It鈥檚 best practice to develop a simple, easy-to-understand internal language that keeps your whole company on the same page. Developing a centralised dashboard that is easily understood by each user will do wonders to reduce internal friction, ensuring a better handover and a more holistic understanding of your customers. Push for simplicity at the heart of your organisation 鈥� and at the end of the day, take everything back to the same question: 鈥淒oes this action help my customer?鈥� 

Generative AI is the future, and it鈥檚 happening now

GenAI was the word on everyone鈥檚 lips at Savant 2025, with huge praise for its cost-saving potential. Claire Hennah, Non Executive Director at , summed it up in a line: 鈥淲ith Generative AI, we can create much more than we have ever been able to, and at a cheaper cost.鈥� Similarly, 鈥檚 Head of Ecommerce, Michael Manton, uses 魅影直播app下载安装最新版本2023鈥檚 AI copywriter to free up bandwidth for his team, creating valuable time to focus on all other aspects of improving CX. Not only does Hornby use 魅影直播app下载安装最新版本2023鈥檚 AI to generate huge volumes of content across multiple brands and 1,000s of SKUs, the tool also functions across multiple markets and languages, surfacing key insights about content performance via its clear prioritatisation dashboard. 

Unlocking your customers鈥� lifetime value can lead to huge wins

Customer lifespan measures the time between a customer's first and last purchase, and typically sits around 1-3 years. For , however, customer life span is significantly longer, with a key segment of customers purchasing from the gift company on a 5 year cycle. Virgin cited their innovative product and CX as the main reason for this impressive lifetime value, but also highlighted that they ran dedicated brand and awareness campaigns to continually bring back long-term customers. When a customer shares negative feedback, rather than labelling their churn as inevitable, Virgin aims to tackle such friction points head on and recapture these customers with the right message at the right time. AI automations have been particularly helpful for creating this personalised comms strategy. 

Like always, Savant 2025 was a fantastic opportunity to meet with leaders from across the retail landscape and explore the future of eCommerce. If you missed the chance to catch up and learn how 魅影直播app下载安装最新版本2023鈥檚 AI copywriter and SEO expert can save your eCommerce business 1,000s of hours in time,

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These days, it feels like artificial intelligence is making a new breakthrough every week. Among the latest trends making waves is agentic AI 鈥� a transformative approach that promises to redefine how intelligent systems operate, interact, and ultimately drive business growth. But what is agentic AI? And how does agentic AI distinguish itself from other AI paradigms? What about its benefits, the challenges it poses, and what it could mean for the future of Ecommerce? In this insight piece, I hope to cut through the hype and clear up some key questions, empowering you to understand how agentic AI systems could be customized for your specific business needs.

What is Agentic AI?

Agentic AI systems are often also referred to as AI agents. The term 鈥渁gentic鈥� refers to artificial intelligence systems designed with agency (as is probably no surprise). But what does 鈥渁gency鈥� mean in practice?

Bona fide AI agents can operate independently to make decisions, learn from their environment, and act to achieve designated goals. Unlike traditional AI systems that might rely on pre-programmed rules or require direct human intervention at every step, agentic AI possesses a level of autonomy. These agents are not only reactive but also proactive 鈥� able to anticipate needs, explore new strategies, and adapt dynamically to changing conditions.

In essence, agentic AI functions similarly to human employees in that it:

1. Observes: Continuously gathers data from its environment.

2. Decides: Evaluates the data against its objectives.

3. Acts: Executes decisions to further its goals, sometimes even discovering new goals along the way.

This represents a monumental opportunity 鈥� not only for Ecommerce, but for the business world on a global scale. AI agents 鈥� able to adapt to unexpected disruptions and learn from their mistakes 鈥� have the potential to take on vast amounts of manual, repetitive desk-work that would usually take a human employee weeks or even months. That carves out more time for your team to focus on creative or strategic projects, with better job fulfilment, productivity, and satisfaction to boot.

How does Agentic AI differ from traditional automation tools?

While the term "agent" might evoke images of traditional automation bots, agentic AI stands apart in several critical ways.

1. AI agents prioritize autonomy over automation.
   Traditional automated systems follow a fixed set of instructions. In contrast, agentic AI can decide which actions to take without explicit instructions for every scenario. This autonomy allows it to handle novel situations effectively.

2. AI agents are goal-oriented.
   Rather than executing tasks in a linear, predetermined manner, agentic AI systems are designed with overarching goals. They continuously evaluate their environment and adjust their strategies to maximize goal attainment, much like an entrepreneur navigating market challenges.

3. Agentic AI prioritizes learning and adaptation.
   While many AI systems are capable of machine learning, agentic AI goes a step further by integrating continuous learning with decision-making. It can refine its actions based on real-time feedback, making it more resilient and effective in dynamic settings.

4. AI agents are interactive.
   Unlike static systems that passively respond to inputs, agentic AI interacts with its environment, which includes other systems, users, and external data sources. This interactivity makes it a potent tool for managing complex ecosystems like Ecommerce platforms.

Benefits of AI Agents for Ecommerce

There are several key advantages of agentic AI for Ecommerce.

1. Enhanced Personalization
   Agentic AI systems can analyze customer behaviors in real time and adjust recommendations, promotions, and content dynamically. This hyper-personalized experience increases customer satisfaction and drives conversion rates.

2. Operational Efficiency
   By autonomously managing inventory, pricing strategies, and supply chain logistics, agentic AI can optimize operations, reduce costs, and minimize human error. This efficiency translates to faster delivery times and a better overall customer experience.

3. Dynamic Market Adaptation
   In the volatile landscape of Ecommerce, market trends shift rapidly. Agentic AI's ability to learn and adapt on the fly means businesses can stay ahead of trends, swiftly adjusting strategies to capture emerging opportunities.

4. Improved Decision Making
   Agentic AI systems leverage vast amounts of data to inform decisions. Their capacity for independent analysis and action means they can propose or implement changes more rapidly than traditional decision-making frameworks, fostering a more agile business environment.

Challenges, risks, and ethical considerations of AI Agents in Ecommerce

With great power comes great responsibility. While the potential of agentic AI is vast, it is crucial to address the inherent challenges and ethical implications that comes with this technology.

1. Accountability
   When an AI system acts autonomously, attributing responsibility for its actions can be complex. Businesses must establish robust frameworks to monitor and audit the decisions made by agentic AI systems to ensure accountability.

2. Bias and Fairness
   Like all AI systems, agentic AI is susceptible to biases embedded in the data it learns from. Rigorous testing and transparent methodologies are essential to prevent discriminatory practices, particularly in customer-facing applications.

3. Security Risks
   Autonomous systems, if not properly secured, could be exploited by malicious actors. Ensuring that agentic AI systems have strong safeguards against hacking and data breaches is paramount.

4. Ethical Use
   The ability for AI to make decisions independently raises ethical questions about transparency, consent, and the potential for unintended consequences. Establishing ethical guidelines and regulatory frameworks will be key in navigating these concerns.

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The future of Agentic AI for Ecommerce

As agentic AI continues to evolve, its impact on copywriting and SEO within Ecommerce is set to be revolutionary. The next generation of digital marketing will be defined by AI-powered content strategies that not only engage customers but also drive higher search engine rankings.

• Tailored Content Creation
  Agentic AI will soon enable Ecommerce platforms to generate personalized copy that speaks directly to individual customer segments. By analyzing consumer behavior and preferences in real time, these intelligent agents can craft unique product descriptions, blog posts, and ad copy that resonate with target audiences鈥攂oosting both engagement and conversion rates.

• Dynamic SEO Optimization
  Traditional SEO strategies are often reactive and static. In contrast, agentic AI can continuously monitor search trends, keyword performance, and competitor tactics to adapt content strategies on the fly. This means that your eCommerce site can stay ahead of the curve with real-time adjustments, ensuring top rankings on search engine results pages (SERPs) and attracting consistent organic traffic.

• Enhanced Keyword Strategy
  With the ability to process vast amounts of data, agentic AI can uncover emerging keywords and semantic search trends that traditional research might overlook. By integrating these insights into your content strategy, your eCommerce platform can target long-tail keywords and niche queries, providing a competitive edge in crowded markets.

• Automated A/B Testing and Content Refinement
  Agentic AI can autonomously run A/B tests on various copy elements鈥攆rom headlines to call-to-action buttons鈥攄etermining which variations perform best. This continuous optimization process not only improves user engagement but also refines SEO strategies by ensuring that all content is aligned with the latest search engine algorithms.

• Real-Time Content Adaptation
  Imagine an AI that can instantly tweak your product descriptions or landing page content based on shifts in user behavior or seasonal trends. This real-time adaptation ensures that your messaging remains relevant and persuasive, ultimately leading to better search visibility and higher conversion rates.

• Integrated Analytics for Strategic Insights
  By merging copywriting and SEO data with customer behavior analytics, agentic AI provides a holistic view of your content鈥檚 performance. This integration empowers marketers to make data-driven decisions, fine-tune campaigns, and forecast future trends鈥攁ll of which are critical for maintaining a competitive advantage in the fast-paced world of eCommerce.

In summary, the future of agentic AI in eCommerce is poised to redefine copywriting and SEO. By delivering tailored, dynamic, and continuously optimized content, agentic AI will empower businesses to capture new markets, enhance user engagement, and drive sustainable growth in the digital marketplace. Embracing these advancements will not only elevate your brand鈥檚 online presence but also ensure that your Ecommerce platform remains agile and competitive as technology pushes onwards.

So, are AI Agents the future of Ecommerce?

In my opinion, absolutely. Agentic AI is a definite leap forward in the way intelligent systems are designed and deployed. AI agents鈥� ability to operate autonomously, learn continuously, and adapt in real time make them a powerful tool for addressing the complexities of modern Ecommerce. However, with its benefits come significant challenges and ethical considerations that must be managed with care.

By staying informed and proactively addressing the challenges, Ecommerce businesses can harness the potential of agentic AI to not only meet but exceed customer expectations online.

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In case you鈥檝e missed it, the is coming into effect on 28th June 2025. This new legislation will require businesses selling in the EU to meet up-to-date accessibility standards that cater to people with disabilities 鈥� or else risk legal consequences.

In other words, there鈥檚 never been a better time to prune your alt text and brush up on ARIA landmarks. Prioritising accessibility is vital for compliance 鈥� but more importantly, it also equips eCommerce businesses with the tools to broaden their brands鈥� reach and create a better experience for all their customers. 

Here鈥檚 what eCommerce managers and content creators need to know:

Accessibility Will Be Mandatory for EU Operations

The EAA sets clear expectations for eCommerce businesses. Websites, apps, and digital services must comply with 鈥� a broad accessibility standard that includes as a requirement for web content but also extends to other areas like assistive technology compatibility and document accessibility. There鈥檚 a requirement for features like alt text for images, clear navigation, proper heading structures, and sufficient colour contrast.

Failure to comply could lead to hefty fines and damage to brand reputation. But businesses that get it right won鈥檛 just avoid penalties. They鈥檒l also unlock opportunities to attract and retain more customers, including the

A New Standard for User Experience

Accessibility improves usability for everyone, not just users with access needs. Clearer designs, better navigation, and more inclusive content will benefit every customer, including older shoppers and mobile-first users.

For content creators, this means prioritising easy-to-read language, descriptive alt text for visuals, and ensuring media has captions or transcripts. For eCommerce managers, it means working closely with developers to conduct accessibility audits and build compliance with the EAA into the design and development process.

Accessibility Is an Untapped Revenue Driver

By addressing accessibility barriers, businesses can tap into an often-overlooked market segment. For UK businesses alone, the estimated annual cost of inaccessible websites is a staggering . Making accessibility improvements is a smart, ethical business decision that can drive significant growth.

How to Get Ahead of the Curve

1. Conduct an Audit: Free tools like or can help spot-check individual pages, but for a more comprehensive approach, consider an 魅影直播app下载安装最新版本2023 sitewide accessibility audit to identify and prioritise fixes at scale.

2. Prioritise Fixes: Address key areas like navigation, checkout flows, and product descriptions. One common issue is missing or unclear alt text鈥�魅影直播app下载安装最新版本2023 can generate descriptive, product-context-aware alt tags, ensuring every image is accessible and SEO-friendly.

3. Upskill Teams: Train content creators, designers, and developers on accessibility best practices, so compliance becomes second nature rather than an afterthought.

4. Embed Accessibility in Your Workflow: Make compliance a default part of every design, content, and technical decision, setting your site up for long-term success.

By taking these steps now, businesses can stay ahead of upcoming regulations, improve user experience, and tap into an underserved customer base. Accessibility isn鈥檛 just about compliance鈥攊t鈥檚 a strategic advantage.

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Unlock more conversions this Valentine鈥檚 Day with these proven strategies for eCommerce.

Alongside Christmas, Boxing Day and Black Friday, Valentine鈥檚 Day is one of the retail calendar鈥檚 most important dates. , with US consumer spending hitting . More shoppers buy their Valentine鈥檚 gifts online than anywhere else 鈥� so make sure to prepare your eCommerce site to take full advantage of February 14th. 

Read on for 4 must-know strategy ideas to maximise traffic and sales this Valentine鈥檚 Day. 

The origin of Valentine鈥檚 Day

Nowadays, we recognise Valentine鈥檚 Day as the celebration of all things romantic. But how did it all start? Valentine鈥檚 Day actually dates back to 8th century Europe, where it originated as a Christian feast day in honour of a martyr called Valentine. As courtly love came into vogue in the 14th and 15th centuries, the day gradually became associated with romance. By the 18th century in England, the holiday already looked quite similar to what we associate with Valentine鈥檚 today: couples exchanged flowers, sweets and chocolates, as well as sending each other handmade cards. Today, Valentine鈥檚 Day is celebrated by billions of people worldwide. 

Who are the Valentine鈥檚 Day shoppers? 

, with the average UK male spending 鈧�116 on gifts in 2021. In comparison, the average female spent roughly 1/3 less, at 鈧�76. In the US, the biggest spenders are aged 35-44; , which is approximately $142.91 more than the wider average. However, other groups aren鈥檛 far behind when it comes to romantic celebrations 鈥� with , That鈥檚 not to mention Galentines, buying presents for pets or family, or the 36% of UK adults who think 鈥�

As Valentine鈥檚 Day continues to grow in significance, especially in the eCommerce space, it鈥檚 clear that this is a key opportunity for retailers to maximise both traffic and sales. With such a large portion of the population celebrating, and significant spending expected from key demographics, now is the time to refine your strategies and ensure your online store stands out.

So, without further ado 鈥� here are 4 tried-and-tested tips to help you unlock more conversions this February 14th. 

1. Stay on trend with seasonal and romantic messaging

Valentine鈥檚 Day is all about emotions, so incorporating love, connection, and the spirit of romance into your product descriptions will help your products resonate with shoppers and capture the essence of the season.

Product descriptions optimised with holiday-related keywords will also improve your products鈥� search rankings, ensuring that they鈥檙e seen by as many shoppers as possible. 

How to implement:

• Use evocative, sentimental phrases like 鈥淔all in love all over again鈥�.

• Integrate holiday-specific keywords into your product descriptions, focusing on the romantic or passionate themes associated with Valentine's Day. are useful aides here 鈥� or learn how you can automate keyword research and seasonal copy generation with 魅影直播app下载安装最新版本2023 Boost. 

• Highlight how and why the product is ideal as a Valentine鈥檚 Day gift.

Example:

Before: 鈥淎 beautiful sterling silver bracelet.鈥�

After: 鈥淎 delicate sterling silver bracelet, the perfect Valentine鈥檚 Day gift to show her how much she means to you.鈥�

2. Personalise product recommendations

Personalised suggestions can help supercharge your Valentine's Day sales. Use customer browsing habits or previous purchases to recommend thoughtful gifts.

How to implement:

• Pin a 鈥淰alentine鈥檚 Day Gift Guide鈥� to your homepage or blog.

• Feature personalised gift suggestions based on customers鈥� preferences or past purchases.

• Offer a quiz to help customers choose the perfect gift (e.g., "Find your Valentine鈥檚 Day gift in 3 easy questions!").

Example: A customer who previously bought jewellery might be shown a curated collection of luxury necklaces or rings for Valentine鈥檚 Day

3. Promote limited-edition or seasonal products and deals

Offering exclusive, limited-time products or deals makes customers feel special and encourages a sense of urgency. Be careful to get your offers live in time to coincide with the holiday traffic:  , whilst 11% make Valentine鈥檚 Day purchases at least a month early.

How to implement:

• Release a collection of Valentine鈥檚 Day-themed items (e.g. heart-shaped jewellery, custom cards, or limited-edition packaging).

• Release special offers or promotions for Valentine鈥檚 Day 鈥� this could include free shipping, flash sales, or small Valentine鈥檚 gifts with every purchase. 

• Bundle products as a gift set around a Valentine鈥檚 theme: items might include chocolates, flowers, wine, jewellery, and candles. 

• Add a holiday-themed header banner:  鈥淪hop the perfect Valentine鈥檚 gift today 鈥� sale ends Feb 13th鈥�. 

• Add a 鈥淰alentine鈥檚 Day鈥� shop category for easy navigation.

Example 1: A cosmetics brand could launch a special edition Valentine鈥檚 gift wrap as an optional add on to every purchase. 

Example 2: A clothing brand could launch a special offer: 鈥淕et 14% off your Valentine鈥檚 Day order with code LOVE14.鈥�

4. Use long-tail keywords for specific Valentine's Day searches

Long-tail keywords (longer, more specific search terms) capture more targeted traffic, ensuring that shoppers looking for specific Valentine鈥檚 Day gift ideas can easily find what they鈥檙e looking for. 

How to implement:

• Short, single-word keywords like 鈥済ift鈥�, 鈥淰alentine鈥檚鈥� or 鈥渞omantic鈥� will face lots of competition, making it hard for your products to rank in the search engine results page.

• Instead, target long-tail keywords related to Valentine's Day gifts for specific people, like 鈥淰alentine鈥檚 Day gifts for boyfriend鈥� or 鈥渂est gifts for wife on Valentine鈥檚 Day.鈥�

• Use a variety of synonyms and word combinations to match how customers might search for specific items.

Examples:

• 鈥淯nique Valentine鈥檚 Day gifts for boyfriend鈥�

• 鈥淟uxury Valentine鈥檚 Day gifts for wife under $100鈥�

Valentine鈥檚 Day is a major opportunity to tap into your customers鈥� emotions and drive meaningful engagement with your products. By aligning your strategies with the spirit of the season 鈥� whether through evocative product descriptions, targeted keywords, or exclusive holiday offers 鈥� there鈥檚 a wealth of potential to create a memorable shopping experience that genuinely drives purchases. As the competition heats up, staying ahead with thoughtful planning and creative execution will ensure your eCommerce store stays top of the search engine results page for Valentine鈥檚 Day shoppers.

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2025 is set to be a seismic year for innovation in ecommerce 鈥� there鈥檚 a lot of buzz around technical breakthroughs, the impact of Gen Z, and everything in between. 2024 already ushered in some revolutionary shifts: Generative AI 鈥� and ChatGPT in particular 鈥� became bona fide household names, whilst the social commerce ecosystem rapidly expanded. , and average consumer screen time is predicted to only continue growing this year. 

But with so much hype pulling teams in so many different directions, it can be difficult to decide where to focus. Which trends really matter most for ecommerce? To help you set out a killer retail strategy, here are 5 key predictions and innovations for ecommerce in 2025鈥� (Number 5 might surprise you!)

Innovation 1: Generative AI will be an essential part of the ecommerce toolkit.

This first ecommerce innovation probably comes as no surprise. Everything you鈥檝e heard is true: in 2025, GenAI鈥檚 meteoric growth shows no signs of faltering.

AI is already playing a huge role in personalising the shopping experience, with to deliver more tailored experiences for their customers. In 2025, GenAI will take things one step further: it鈥檚 predicted that . And with new research from McKinsey demonstrating that , building an AI-first business is becoming increasingly necessary for ecommerce teams looking to stay ahead. 

Innovation 2:  Trust will be a non-negotiable for your customers.

It鈥檚 a hyper-personalised world out there, and consumers are becoming increasingly wary of how their data is being used by brands. , whilst . at all. 

Meanwhile, regulatory bodies are actively investigating and penalising companies that violate data privacy laws 鈥� , claiming the firms were unlawfully sending European Union user data to China.

Safeguarding and signposting trust will be of vital importance for winning shoppers back to your eCommerce site, time and time again. , showcasing the significant financial opportunity for businesses that prioritise trust.

Innovation 3: Agentic AI will be Ecommerce鈥檚 golden child.

Agentic AI is expected to see significant growth in popularity and adoption within the Ecommerce sector in 2025. The term 鈥淎gentic AI鈥� refers to autonomous AI agents capable of independently executing customer or business requests. Unlike traditional AI tools that require human input to complete tasks, agentic AI takes things further by independently carrying out complex processes without the need for constant human oversight. It鈥檚 able to adapt and learn from its mistakes, and remembers what you tell just like its human team-members. In short, agentic AI could be genuinely revolutionary when it comes to maximising ecommerce efficiency and growth.

Although Agentic AI is still new on the scene, we鈥檙e already seeing some major early adopters. 鈥� a CX team of independent AI agents 鈥� in September 2024, and . It seems certain that 2025 will see agentic technology significantly develop, with the potential for huge, global adoption and innovation across the wider ecommerce landscape. 

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Innovation 4: Gen Z and Millennials will be at the heart of ecommerce strategy. 

Again, perhaps this one鈥檚 no surprise, but winning over Gen Z and Millennials is anticipated to play a leading role in ecommerce innovation and strategy for 2025. Predictions suggest that , with . These generations are the internet鈥檚 digital natives 鈥� and consumer purchasing behaviours and brand expectations are already being fundamentally reshaped by where they hang out and what they care about.

Gen Z in particular are known for social media savviness. And for good reason too! 鈥� and in the same study, over a fifth (22%) reported spending at least 7 hours or more on social media every day. With this in mind, user-generated content and influencer marketing are predicted to be key strategy trends for ecommerce this year, as younger consumers increasingly tend towards trusting community voices over brands. A whopping , which represents a monumental shift from traditional, site-based online shopping. I think it鈥檚 clear why

How to surf this wave? Brands that incorporate authenticity and social media into their strategy will be best positioned to win the loyalty of Gen Z and Millennial shoppers this year.

Innovation 5: Accessibility will become an urgent priority. 

In 2025, accessibility will be an urgent necessity for ecommerce. From 28th June, new requirements will apply across the European Union to meet accessibility needs for all people with disabilities. Businesses operating in the EU will be required to add alt text to images, clearly denote page sections with ARIA landmarks, and maintain sufficient colour contrast 鈥� or risk facing legal consequences. 

As things stand, 69% of shoppers with accessibility needs currently abandon websites that are difficult to use, resulting in 拢17.1 billion in lost revenue each year for UK businesses. As 2025 progresses, companies that prioritise accessibility will not only comply with new regulations but also stand to unlock significant untapped revenue, ensuring their sites are inclusive and user-friendly for all customers.

Looking ahead into the next year, generative AI, agentic AI, trust, and accessibility will be the defining pillars of success for ambitious businesses looking to outpace the competition. Gen Z and Millennials will be important audiences to win over 鈥� whether by emphasising authenticity or intensifying focus on social commerce. By embracing these 5 trends and innovations, ecommerce professionals can position themselves for accelerated growth and enhanced customer retention in 2025 and the years to come.

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We are delighted to announce that 魅影直播app下载安装最新版本2023 are Breakthrough Culture Award Winners 2024.  

recognise and celebrate the 100 greatest growing companies to work for in the UK, spotlighting game-changing organisations that prioritise their people. 

We faced stiff competition from over 5,000 companies of all sizes, from early-stage startups to global giants. This incredible achievement reflects our commitment to fostering a culture where our people have fun, innovate, and excel together 鈥� and we couldn鈥檛 be prouder! 

In this feature interview, , our VP of Operations, reflects on 魅影直播app下载安装最新版本2023鈥檚 Breakthrough Culture Award win and shares her advice for building a thriving company culture in the modern world. 

About Louise Stewart-Murray

Louise is our VP of Operations at 魅影直播app下载安装最新版本2023, where she is accountable for all back-office operations, driving business scaling and operational efficiencies. She has a strong focus on People and building a high-performance culture.

Louise has spent over 15 years working with some of the UK鈥檚 largest food retailers (Tesco, M&S) and CPGs (Cadbury, Unilever, Johnson & Johnson), specialising in operational excellence and business transformation.

What does the Breakthrough Culture Award mean for 魅影直播app下载安装最新版本2023?

Our people and our culture are at the heart of our business and success, and so having this recognised is testament to our incredible team and the culture we have created. It鈥檚 so great to be recognised in this space so early in our 魅影直播app下载安装最新版本2023 journey, as it demonstrates our commitment to our people and our culture from day one.

What strategies do you use to nurture 魅影直播app下载安装最新版本2023鈥檚 culture?

At 魅影直播app下载安装最新版本2023, we鈥檙e building a high-performance culture and environment where everyone can thrive, underpinned by our values. Firstly, 鈥淏e Brave鈥�. We strive to innovate and challenge the status quo for our clients, our colleagues, and ourselves. Our second value is 鈥淓mpower Others鈥� 鈥� which means we trust and empower everyone to do their job and reach their potential. Our third core value is 鈥淪eek Growth鈥� 鈥� because we鈥檙e continuously learning both for ourselves and for 魅影直播app下载安装最新版本2023. And finally, 鈥淪park Joy鈥�. We focus on doing (and building) things that people will love.

What are your goals for 魅影直播app下载安装最新版本2023's culture going forward?

Scaling is a big one. Our main focus is on preserving our awesome start-up culture as we scale 鈥� we鈥檒l definitely be leaning into our value of empowering others here. On the D&I front, we鈥檙e creating a safe, diverse and inclusive space for everyone to thrive. And we also want to consolidate that 鈥減urpose鈥� 鈥� we want everyone at 魅影直播app下载安装最新版本2023 to feel part of something special, with a clear understanding of how individual contributions feed into our collective mission.

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In conversation with 魅影直播app下载安装最新版本2023鈥檚 Head of Design

Why is a thriving company culture so vital in the modern world?

In a world full of choices and opportunities, having a great culture is one of the reasons our team will choose to stay or go. It鈥檚 also our USP when it comes to attracting new talent.

We spend a big chunk of our lives at work, and we鈥檙e passionate about retaining our special culture to ensure the team can enjoy the work they do, with a great team around them.

What advice would you give to other organisations striving to create an award-winning culture?

Put your people at the heart of your decision (and policy) making. Then start with your values: we created our values as a team very early on, and while they may evolve over time, they are what underpins our culture. Spend more time in the recruitment stage, really understanding what newness and diversity your new hires will bring to your culture so that you hire the right people. And lastly, be flexible 鈥� fail fast and be open to adapting as your needs change. 

A big thank you to our team, our partners, and the Breakthrough Culture Awards judges for sharing our passion for 魅影直播app下载安装最新版本2023 and the values that we stand for! 

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ChatGPT is quickly embedding itself into the fabric of our daily lives. It鈥檚 suddenly the go-to site for everything from trip-planning to technical troubleshooting. But if you鈥檙e an ambitious ecommerce team looking for a specialist product content generation solution, you may find that ChatGPT falls short.

Although ChatGPT is a great starting point for building product descriptions, it can take hours of manual refining and editing to bring that copy up to scratch across the board. 

But what alternative AI product description generators are out there?

In this guide, we鈥檒l compare ChatGPT with 魅影直播app下载安装最新版本2023, an AI Copywriter specifically designed to deliver measurable ecommerce results. 魅影直播app下载安装最新版本2023鈥檚 features include generating and optimising your on-page copy 鈥� including product descriptions, alt text, titles and specifications 鈥� as well as baking in SEO and comprehensive competitor benchmarking.

We鈥檒l consider how ChatGPT and 魅影直播app下载安装最新版本2023 measure up against each other in terms of quality and accuracy, scalability, configurability, and overall time saved.

By the end of this guide, you should feel equipped to make an informed decision about which AI tool is better for your Ecommerce team. 

Is there a ChatGPT alternative for Ecommerce?

These days, ChatGPT seems to be everywhere: it suggests last-minute recipes, creates first drafts in seconds, and even helps your kids with their homework. It鈥檚 an AI jack-of-all-trades鈥� but world-class product pages aren鈥檛 one-size-fits-all. 

Whilst ChatGPT is a generic AI that鈥檚 great at tidying up initial ideas, it isn鈥檛 trained or designed for Ecommerce optimisation at scale. 

To maximise the value you get from an AI product content tool, you could consider: 

1. The tool鈥檚 configurability 鈥� its content should match your brand鈥檚 formatting, tone of voice, and other important guidelines 

2. How much you trust the reliability and quality of the generated content

3. How the tool performs at scale

4. Whether it automates SEO and keyword optimisation, including analysis of high performing competitors 

5. The amount of time invested 鈥� including set-up and integration, plus manual revision of any AI-generated material

We鈥檒l use these five indicators to compare the respective value that ChatGPT and 魅影直播app下载安装最新版本2023 can offer your Ecommerce team. 

魅影直播app下载安装最新版本2023: The ChatGPT Alternative for Ecommerce

魅影直播app下载安装最新版本2023 is the specialist Ecommerce AI copywriter that we鈥檒l be comparing to ChatGPT in this guide. 

In brief, 魅影直播app下载安装最新版本2023 is an agentic AI tool that optimises product listings across your D2C, retailer sites and marketplaces to drive traffic uplift. Unlike ChatGPT, 魅影直播app下载安装最新版本2023 was created specifically for Ecommerce and travel retailers. This means it鈥檚 been trained on millions of Ecommerce PDPs, and is capable of highly tailored, bespoke copy that drives conversions by 10%+.

When you log into 魅影直播app下载安装最新版本2023, the first thing you鈥檒l see is this dashboard: 

At a glance, you see scores for your site鈥檚 content, accessibility, and technical performance.

These scores are calculated based on the number of errors and opportunities the 魅影直播app下载安装最新版本2023 AI detects across your site鈥檚 Product Detail Pages. 

You can also view how your PDPs rank compared to your competitors鈥� 鈥� and why.  

Scrolling down the page, you can filter your PDPs by category. You鈥檙e able to input different guardrails and guidelines for each of these categories, so that 魅影直播app下载安装最新版本2023 produces custom content for each specific set of requirements. 

Clicking through to the Beauty category, 魅影直播app下载安装最新版本2023 compares your content score to the score of your highest ranking competitor. In the above screengrab, the example company scores highest on title and specs, but significantly lower than its competitor in terms of description quality. 

The amber opportunity score reveals that there are 2,713 areas where the Beauty category鈥檚 content could be optimised for better conversion or discoverability. 

Let鈥檚 use 魅影直播app下载安装最新版本2023 to take these opportunities on board. 

Clicking through to a specific PDP, we can see that The Ordinary Azelaic Acid Suspension has an overall content score of 40, with 2 errors and 18 opportunities. 

魅影直播app下载安装最新版本2023鈥檚 AI content generator optimises the product鈥檚 title by increasing the number of keywords and overall word count. This more than doubles the potential search volume of the PDP from 14,112 up to 36,387. 

Alongside the title, 魅影直播app下载安装最新版本2023 also generates SEO-optimised copy for your description, specs, and any alt text.

So, that鈥檚 魅影直播app下载安装最新版本2023 in a nutshell. But how does this AI copywriter for Ecommerce compare with ChatGPT? 

To recap, we鈥檙e considering the two AI tools in terms of their configurability, quality, scalability, SEO capabilities, and the overall time you鈥檒l save. 

If you鈥檙e already familiar with ChatGPT and know it isn鈥檛 right for your team, you can to learn more about 魅影直播app下载安装最新版本2023 over a call. For an in-depth comparative breakdown, read on! 

Configurability: ChatGPT vs 魅影直播app下载安装最新版本2023

ChatGPT

Whilst ChatGPT is first and foremost a generic AI chatbot, it can still be configured to meet specific Ecommerce brand requirements 鈥� to a limited extent. The more rules or product descriptions that ChatGPT is asked to generate, the less consistency you鈥檙e likely to see.

Generating Ecommerce content with ChatGPT generally requires significant time investment from a human content editor, who manually alters each description to ensure accuracy. At scale, this process becomes a huge time-sink. 

It鈥檚 also common for ChatGPT to 鈥渉allucinate鈥� 鈥� that is, produce false or misleading information 鈥� if a user tries to stack too many requirements in one prompt.

魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023 automatically ensures all tone-of-voice, brand guidelines, keyword and formatting requirements are reliably adhered to; nothing is too complex. Its configurability makes it ideal for teams managing diverse product ranges.

Whilst giving ChatGPT too many requirements can lead to hallucinations, 魅影直播app下载安装最新版本2023鈥檚 proprietary chain-of-thought approach ensures that client requirements are automatically atomised and fed to 魅影直播app下载安装最新版本2023鈥檚 AI copywriter step-by-step. This ensures that 魅影直播app下载安装最新版本2023 reliably meets complex and varied copy requirements, with no additional time invested by the user 鈥� and no unexpected additions or inaccuracies. Every piece of copy produced by 魅影直播app下载安装最新版本2023 is unique. 

ChatGPT does not take this methodical approach, and so struggles to handle multiple rules or requirements. 

Winner: 魅影直播app下载安装最新版本2023

Reliability and quality: ChatGPT vs 魅影直播app下载安装最新版本2023 

ChatGPT

Whilst ChatGPT is a well-loved brainstorming tool, it isn鈥檛 built to produce high-performing PDPs without significant human input. An Ecommerce content specialist must manually edit and polish ChatGPT鈥檚 copy. 

At the same time, ChatGPT sometimes introduces inaccuracies into product descriptions, or ignores important aspects of brand identity altogether. This is especially true if ChatGPT is asked to stick to several rules at once, with different rules for multiple complex categories. Its data may also be out-of-date. 

The more PDPs that ChatGPT generates, the more you鈥檒l notice a tendency towards repetition. Unfortunately, it has plenty of tells that alert shoppers you鈥檙e relying on it for content generation. ChatGPT鈥檚 overuse of em-dashes is well-documented, and it tends to rely on oddly corporate jargon like 鈥渆levate鈥� or 鈥渟upercharge鈥�. Or, it will just sound鈥� well, kind of weird. 鈥淓xperience the timeless fusion of form and function with this lovingly handcrafted paperclip鈥濃�� Anyone?

魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023鈥檚 copy generation has been fine-tuned on millions of Ecommerce PDPs. This ChatGPT alternative takes a highly robust, two-part approach to Quality Assessment, with both AI and computational-based quality checks. Its generation is rooted in up-to-date, real-time data you know you can trust. 

At the same time, 魅影直播app下载安装最新版本2023 never automatically pushes any content live without permission. So if you鈥檇 prefer to check over its generated content with a human eye, you can. 

Winner: 魅影直播app下载安装最新版本2023

Scalability: ChatGPT vs 魅影直播app下载安装最新版本2023

ChatGPT

Designed for single tasks, ChatGPT is not intended to be used at scale. Ecommerce teams utilising ChatGPT must generate content one-by-one. 

魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023鈥檚 AI Copywriter was built for scale, generating and optimising thousands of PDPs in real-time. The ChatGPT alternative is a fast and painless no-code solution, that easily integrates with your existing setup. Outputs are automatically formatted to match your specifications.  

Winner: 魅影直播app下载安装最新版本2023

SEO: ChatGPT vs 魅影直播app下载安装最新版本2023

ChatGPT

ChatGPT can provide general keyword suggestions, but lacks the deep SEO integrations required for comprehensive keyword research. It is capable of using data from publicly available sources 鈥� like your site or your competitors鈥� 鈥� to generate a downloadable CSV with keywords organised by category. However, it does not have a rigorous keyword selection process, and explicitly recommends utilising external tools like Semrush for a more accurate result. 

魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023 automatically runs keyword research for all PDPs 鈥� with no further effort involved. Like ChatGPT, it makes use of publicly available sources such as competitor sites, but also allows you to input large proprietary datasets. It automatically takes factors such as keyword difficulty and domain authority into account, injecting relevant keywords into generated copy without sacrificing tone of voice or other brand requirements. 

In contrast to ChatGPT, 魅影直播app下载安装最新版本2023鈥檚 AI Copywriter automates the manual keyword research process by independently accessing tools like Semrush. The best performing relevant keywords are then incorporated into your generated copy. 

The prioritised keyword lists for each product detail page can also be directly exported from the 魅影直播app下载安装最新版本2023 platform. 

Winner: 魅影直播app下载安装最新版本2023

Time Saved: ChatGPT vs 魅影直播app下载安装最新版本2023 

ChatGPT

While ChatGPT generates drafts quickly, significant time must be spent revising, prompting, and integrating the content on an individual basis. Keyword research and competitor analysis also require external tools and substantial manual effort.

魅影直播app下载安装最新版本2023

魅影直播app下载安装最新版本2023 saves days and weeks of writing, editing and integration by producing content that鈥檚 ready to go! Its optional no-code integration with your PIM system means that content can be bulk-uploaded with ease. No IT involvement is required during set-up.

Winner: 魅影直播app下载安装最新版本2023

So, is 魅影直播app下载安装最新版本2023 a better ChatGPT alternative?

The scores are in. When selecting the best fit for your content generation needs, it鈥檚 important to consider your individual goals and requirements. 

Whilst ChatGPT is a better generalist AI copywriter, 魅影直播app下载安装最新版本2023鈥檚 tool has better configurability, reliability, scalability, SEO, and time efficiency for Ecommerce teams.

魅影直播app下载安装最新版本2023鈥檚 specialist capabilities makes it the better choice for:

• Creating high-quality, publishable product content at scale

• Adhering to complex brand guidelines

• Automating SEO and competitor analysis

Interested to learn more? Book a demo below and receive free samples of 魅影直播app下载安装最新版本2023鈥檚 AI copywriter in action, tailored to your brand鈥檚 PDPs.

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