In Q1 2026, AI-driven traffic to ecommerce sites grew 393% year on year. 393%.
This number, from Adobe data, stopped me in my tracks.
And in March 2026 alone, that traffic converted 42% - better than non-AI traffic. Visitors stayed longer, browsed more pages, and bought more.
Yes, these are US figures from Adobe. But the UK is never far behind.
So if you sell products online and you're not thinking about AI as a traffic source yet, this is your wake-up call.
This shift is really good news for independent product sellers. Here’s why.
First, Let’s Talk About What AI Search Actually Is
Most of us are used to thinking about search in terms of Google. You type a few words, you get a list of results, and you’re competing for the top spots on page one.
The rules are familiar. Keywords, backlinks, page authority, meta descriptions. You know the aim of the game is to get to first place, even if you sometimes feel like you’re losing it.
AI search is a completely different game.
When someone uses an AI tool to find a product - whether that’s ChatGPT, Perplexity, Google’s AI Overviews, Copilot, or any number of others -they’re not typing a keyword. They’re having a conversation.
They might say something like: “I need a birthday gift for my mum who loves gardening, I want to spend about £40, she’s already got the obvious things and it needs to arrive by Friday.”
Or: “I’m looking for a black ballpoint pen that writes for 5000 hours, clicks rather than having a lid, and won’t leak in my bag.”
Specific. Detailed. Conversational.
The AI then does something remarkable - it goes looking for products that match those exact parameters. Not a generic match. Not ‘close enough.’ It’s looking for the product that exactly fits the brief.
Why There’s No ‘Top Spot’ Anymore - And Why That’s Actually Great News
Here’s what I find genuinely exciting about this development.
In traditional SEO, everyone selling similar products is fighting over the same small number of top positions. If you sell handmade candles, you’re competing with every other candle seller in the country - including the big retailers -for that coveted page one top spot.
It’s pretty much a zero-sum game. One winner. Everyone else loses.
AI doesn’t work like that.
Because every AI search query is unique - shaped by what that specific person wants, how they describe it, what they’ve told the AI about themselves before - the recommendations are rarely the same twice.
There isn’t one ‘best candle’ recommendation.
There’s the best candle for someone who wants a floral scent under £25 that comes in reusable packaging and ships to Scotland.
And the best candle for someone who wants a strong smoky scent, doesn’t care about packaging, needs it in 48 hours.
Two completely different recommendations.
Potentially two completely different sellers.
AI search is one of the biggest opportunities independent product sellers have had in years.
You don’t need to out-muscle the big retailers for a position.
You just need to be the right answer for the right person.
But only if your product listings are set up for AI to find you.
How AI Actually Decides What to Recommend
This is where it gets really practical.
When an AI tool responds to a product search, it’s pulling information from a few sources.
What it has learned from crawling and indexing your site:
Your product page copy.
Your FAQs.
Your reviews.
In some cases, your product feed (like Google Merchant Centre).
And increasingly, how clearly your site is structured so AI can parse and understand it.
It’s not just looking at your title and a couple of keywords.
It’s building a picture of your product from everything on the page.
Which means the more complete, specific and clear your product information is, the better chance AI has of matching your product to the right search.
Think about that ballpoint pen example again.
If someone asks for a pen that won’t leak in their bag, and your product description mentions ‘leak-proof design,’ you’re in the running. If it doesn’t, you’re not - even if your pen is exactly what they need.
This is the crux of it. AI can only recommend what it can find and understand. If your product page is vague, thin, or missing key details, you’re invisible.
The Bit Most People Are Getting Wrong
I’ve been talking about this topic a lot recently, and I want to be straight with you about something.
A lot of the advice floating around about ‘AI-ready product listings’ makes it sound like a slightly updated version of regular SEO.
Add some keywords.
Tweak your meta description.
Done.
It’s not that.
Yes, good AI optimisation will also improve your standard SEO and your visitor experience - and that’s brilliant, because you’re not doing extra work for one channel.
But the thinking behind it is fundamentally different.
With regular SEO you’re thinking: what search term am I targeting?
With AI you need to be thinking: what does my product actually do, for whom, and in what specific circumstances is it the right choice?
That requires you to know your product and your customer deeply. Which, as an independent seller who made or carefully selected what you sell, you almost certainly do. You just might not have it written down in a way AI can use.
The independent sellers who get this right are going to have a significant advantage.
Because big retailers with thousands of SKUs don’t care as much as you do about your products. Your product descriptions can have genuine knowledge, passion and specificity behind them - the kind that comes from someone who actually made the thing or chose it deliberately for a reason.
What AI Looks For (And What You’re Probably Missing)
Without turning this into a technical manual, here are the areas that actually matter.
Specific attributes and details
Size, material, weight, capacity, scent, colour, compatibility - whatever is relevant to your product. Not vague descriptions. Actual specifics. If someone asks an AI for a bag that fits a 15-inch laptop, your product description needs to say it fits a 15-inch laptop.
Use cases and occasions
Who is this for? When would they use it? What problem does it solve? “Perfect for” language is your friend here - as long as it’s genuinely specific, not just ‘perfect for anyone who loves quality.’
FAQs that answer real questions
AI loves FAQs because they’re already in question-and-answer format, which is exactly how people use AI. If you have an FAQ section on your product page, it’s worth serious attention.
Reviews that describe the product
You can’t write these yourself, but you can encourage them. Reviews that mention specific attributes -“the handle is really comfortable for long walks,” “the scent lasts about 4 hours” -add to the picture AI builds of your product.
How your site is crawled and discovered
AI tools don’t always have live access to your site. They work from what’s been crawled and indexed -by Bing (which powers Copilot and many other AI tools), by Google, and increasingly via product feeds like Google Merchant Centre.
Keeping your GMC feed current, submitting pages to both Google Search Console and Bing Webmaster Tools after updates, and ensuring your site is technically healthy all matter more than most people realise.
But Don’t Forget - The Page Is Only Half The Story
Getting AI to recommend you is brilliant. But it’s not the whole job.
When an AI sends someone to your product page, that page still has to convert.
The photography still needs to do its job. The price needs to feel right. The buy button needs to be obvious. Trust signals need to be there.
AI search sits at the very top of your customer journey - it’s getting the right person to click through to you at the right time for them. Everything that happens after that click is still down to your shop.
This fits into how I think about ecommerce growth as three things:
Presence (getting the click),
Persuasion (converting the visitor),
and
Performance (AOV, margins, repeat purchases).
AI search is a new and increasingly important part of Presence for ecommerce.
But Persuasion and Performance still matter just as much.
My Take On Where This Is All Going
I find this genuinely fascinating. It’s moving fast.
A 393% year-on-year increase signals a big shift.
And 42% better conversion from that traffic tells you the intent is real - people using AI to find products are ready to buy.
I don’t think this replaces Google search. I think it adds to it.
Your customers are going to use multiple routes to find products - and AI is becoming one of the main ones.
The sellers who pay attention to this now, while most people are still ignoring it, are going to build an advantage that’s hard to close later.
The good news is that the work you do to get AI-ready also makes your shop better for human visitors too.
Better product descriptions. Clearer information. More specific copy. Richer FAQs.
These things improve your conversion rate and your customer experience regardless of where the traffic came from.
So it’s not an either/or. It’s a both/and.
Want To Get Your Products AI-Ready?
This free masterclass will help - 5 Product Listing Fixes So AI Recommends You.
One hour. Practical fixes you can actually implement. If you want your products to show up when your ideal customers are asking AI for recommendations, this is where to start.
