More and more shoppers are starting their buying journey inside an AI tool rather than a traditional search box. They ask ChatGPT for the best running shoes for flat feet, they let Google's AI Overviews summarise the top options before they've scrolled, and they use Perplexity to compare three brands in a single answer. If your store isn't showing up in those responses, you're invisible at the exact moment a buyer is forming an opinion.
The good news is that this isn't magic, and it isn't a completely different discipline to the SEO work you should already be doing. Getting cited in AI search, often called Generative Engine Optimisation or GEO, rewards clarity, structure and genuine authority. Here's how to give your ecommerce store the best possible chance of being the brand the AI recommends.
Why AI search matters for ecommerce right now
For years, the goal was simple: rank on page one of Google and win the click. That's changing fast. AI search doesn't just list ten blue links, it reads dozens of sources, picks the ones it trusts, and synthesises a single answer. Sometimes the shopper never visits a website at all, they just act on what the AI told them.
That shift is a threat and an opportunity. If a competitor gets named as "the best UK supplier" and you don't, you've lost the sale before it started. But if your brand is the one being cited, you arrive pre-vetted, recommended by a tool the shopper already trusts. We covered the wider picture in our guide to agentic commerce, and this is the practical, on-site side of getting ahead of it.
How AI tools decide who to cite
Before you optimise for something, it helps to understand how it works. AI search engines pull their answers from content they can crawl, understand and trust. They favour sources that answer a question directly, back it up with detail, and come from a brand that appears credible and consistent across the web. In practice that means three things matter more than ever: your content needs to be extractable, your data needs to be structured, and your brand needs to be mentioned in the places these tools are reading. Let's break down how to nail all three.
Our top tips for getting cited in AI search
1. Answer real buyer questions directly
AI tools love content that gives a clear, self-contained answer. Vague, waffly product copy that dances around the point gets skipped. Think about the actual questions your customers ask before they buy, things like "is this dishwasher safe", "what's the difference between the two models", "does this ship to Ireland", and answer them plainly on the page. Lead with the answer, then add the detail. A well-structured FAQ section on your product and category pages is one of the highest-value additions you can make, because it maps perfectly to how people phrase queries in an AI tool.
2. Structure your content so it can be read
An AI model can only cite what it can cleanly extract. Long walls of text with no hierarchy are hard to parse. Use descriptive headings, short paragraphs, bullet points for specs and comparisons, and a logical flow from question to answer. This isn't just good for AI, it's good for humans skim-reading on a phone. The stores that win here are the ones whose pages read like a helpful, well-organised answer rather than a keyword-stuffed sales pitch.
3. Get your structured data right
Structured data, or schema markup, is how you hand your information to machines in a format they can't misread. For ecommerce this is non-negotiable. Product schema tells AI tools your price, availability, brand and reviews. FAQ schema surfaces your answers. Organisation schema reinforces who you are. If you're on Shopify or Magento a lot of this can be generated automatically, but it's worth auditing to make sure it's actually present and accurate. Getting your schema right is one of the most reliable ways to increase the odds of being pulled into an AI answer.
4. Make sure AI crawlers can actually reach you
This one catches a surprising number of brands out. If your robots.txt or firewall is blocking the crawlers these tools use, you've locked yourself out of the room entirely. Check that you're allowing the major AI user agents, GPTBot from OpenAI, ClaudeBot from Anthropic, and PerplexityBot, unless you have a deliberate reason not to. It's worth remembering that blocking them protects nothing valuable and simply guarantees you'll never be cited. A quick review of your crawl settings can be the difference between being read and being ignored.
5. Build your brand's presence off-site
AI tools don't just read your website, they read the whole web. When your brand is mentioned consistently across reputable third-party sites, review platforms, industry publications, comparison articles and forums, the AI builds a picture of you as a trusted, established name. That off-site reputation directly influences whether you get recommended. Earning genuine coverage, encouraging reviews and getting listed in the right roundups all feed the same signal. It's the modern, AI-era version of digital PR, and it compounds over time.
6. Lead with proof, not just claims
Anyone can say they're "the UK's leading supplier". AI tools, like savvy shoppers, are looking for substance behind the claim. Specific detail wins: real customer reviews, hard numbers, genuine expertise, clear guarantees and delivery information. The more concrete and verifiable your content, the more comfortable an AI is citing you as a reliable source. This is exactly the kind of trust signal we build into every store we work on, and it's the same instinct that drives strong ecommerce conversion rates too.
7. Keep your fundamentals rock solid
None of the above matters if your store is slow, broken on mobile or riddled with thin, duplicate pages. AI search is built on top of the same foundations as traditional search, so a fast, well-structured, technically sound site is the price of entry. If you've been putting off a proper technical tidy-up, this is one more reason to prioritise it. We dug into some of the brands doing this brilliantly in our roundup of ecommerce sites winning with AI-powered search and personalisation.
Where to start
If all of this feels like a lot, don't panic. You don't need to do everything at once. Start by auditing whether AI crawlers can reach your site, then make sure your product pages answer real buyer questions clearly and carry accurate schema. Those two moves alone put you ahead of most of your competitors, who haven't thought about any of this yet.
AI search is still early, which is precisely why now is the moment to act. The brands that build these habits today will be the ones getting recommended when this becomes the default way people shop. If you'd like a hand getting your store ready, that's exactly the kind of thing we do. Get in touch and we'll take a look.
