Google AI Overviews (the AI summary at the top of search) and AI Mode (Google's conversational search) increasingly answer "what should I buy" by naming and linking specific products. They pull from what Google can read as structured data — and many stores don't expose it cleanly, so a competitor gets named and you don't.
For many shoppers, Google is still the first stop for product searches, which makes its AI surfaces the highest-volume place AI is now deciding which stores to recommend. The good news: what Google can and can't read on your store is measurable. Paste your URL and see it — free, in seconds.
AI Overviews and AI Mode are generative layers sitting on top of Google Search. Instead of just returning ten blue links, they synthesize an answer — and when the query is commercial, that answer can name specific products with a price, a rating, and a link. To do that with confidence, Google needs to read your product as machine-readable data, not guess at it from prose.
Google's own product structured-data guidance is explicit about this: mark up the essentials — name, price, availability, and reviews — so a product is eligible for its rich and shopping experiences. If your pages ship without that markup, Google is left guessing, and its AI surfaces prefer stores it doesn't have to guess about. This isn't an ad-spend problem. It's a structural one, and it comes down to a short list of signals your store is probably missing:
Valid schema.org/Product JSON-LD — name, price, availability, ratings. Without it, Google's AI can't state what you sell or that it's in stock.
AI Overviews synthesize answers to questions like "best X for Y." Pages that only list specs don't feed that; content that answers buyer intent does.
An accessible products.json and readable pages, so Google can parse your full range — not just infer one product from one URL.
Emerging files like llms.txt and agents.md tell AI systems what you sell and how to buy — so the same store also reads cleanly to ChatGPT, Perplexity and Gemini.
An honest note on Merchant Center. Google also draws product data from feeds you submit through Google Merchant Center — a separate, account-based input you set up inside Google. Our check reads the on-page structured data and answer-readiness in your public storefront's HTML. That's the part every AI engine reads directly, and getting it right is what makes your products understandable everywhere AI looks, not only in one Google surface.
Start free. You don't need to buy anything to find out where you stand — the check runs the same engines the paid audit does and shows you a real score.
Paste your store URL. Our engines analyze your public storefront (Product JSON-LD, products.json, llms.txt, agents.md, answer-readiness) and return your AI-Visibility score in seconds — no signup, no card.
Check my store free →Want it fixed rather than explained? We run the full audit, then implement the fixes on your store ourselves — descriptions, structured data, llms.txt, crawler access — with your approval before anything publishes. Anything that genuinely needs your own developer comes as ready-to-paste code, and we re-scan free after 30 days.
Get my $499 Audit + Fix →A one-time, done-for-you fix of how AI answer engines and shopping agents see your store. We find every gap, then close the ones we can close ourselves — you install our free Shopify app (about two clicks) so we can do the work, and nothing publishes without your approval. We start within 24 hours, and a free re-scan follows after 30 days.
Your score explained signal by signal — schema, answer-readiness, and machine-readable files — so you know what's dragging it down.
How your store's AI-visibility stacks up, so you can see where you're behind and what "good" looks like in practice.
We don't hand you a to-do list — we do the work: AI-written descriptions published for blank and thin products, Product / FAQ / Organization structured data injected, your llms.txt built, crawler blocks corrected. You approve everything before it goes live, and anything that genuinely needs your own developer arrives as ready-to-paste code, ranked by impact.
Thirty days after the work, we re-scan your storefront free and send the updated score as a before and after — so you can see what the fixes actually moved.
Google's generative surfaces can only name products they can read as machine-readable data. In practice that means valid schema.org/Product structured data on every product page (name, price, availability and ratings), content that answers real buyer questions rather than only listing specs, and a crawlable catalog Google can actually parse. Google won't confidently name a product it can't read cleanly. The free AI-Visibility Check measures these signals on your public storefront and returns a score in seconds.
AI Overviews is the AI-generated summary that appears at the top of some Google Search results. AI Mode is Google's conversational search experience, where you can ask follow-up questions and get a generative answer. Both are AI layers built on top of Google Search, both can surface and link specific products, and both depend on the same machine-readable product signals to decide which stores to name.
Both can matter. Google draws product information from structured data it crawls on your website and from product feeds you submit through Google Merchant Center. Our check analyzes your public storefront — the on-page structured data and answer-readiness any AI engine reads directly from your site's HTML. A Merchant Center feed is a separate, account-based input you set up inside Google. Getting your on-page product data right is what makes your products understandable everywhere AI reads them, not just in one Google surface.
The free AI-Visibility Check runs our real engines on your public storefront and returns your score in seconds. The $499 AEO Audit + Fix goes further, and it's done for you: the full audit with every gap ranked by impact and a comparison against other stores in your category, and then we implement the fixes ourselves — AI-written descriptions published with your approval, structured data injected through our free Shopify app, llms.txt built, crawler blocks corrected. Anything that genuinely needs your own developer arrives as ready-to-paste code, and a free re-scan after 30 days shows the before and after.
We start within 24 hours. The audit is built from your public storefront, and the implementation runs through the free Hatchloop Shopify app you install after purchase — nothing publishes until you approve it. A free re-scan follows after 30 days to show the before and after — one-time $499, no subscription. How quickly your store then appears in Google's AI answers depends on Google's own re-crawl and ranking cycles, which no vendor controls.
Start with the free AI-Visibility Check. If you want those gaps closed rather than catalogued, the $499 AEO Audit + Fix has us do the work — we start within 24 hours.