You asked an AI assistant the exact question your buyers ask — "best X for Y," "where should I buy Z" — and it named a rival. Not you. That's not bad luck, and it usually isn't price or product. It's that AI can read their store and it can't read yours.
AI answer engines recommend the store that exposes the signals they understand — Product JSON-LD, a readable catalog, answer-ready content, llms.txt and agents.md. Miss those and you're invisible at the exact moment a shopper is ready to buy. The good news: it's measurable, and it's fixable.
When a shopper asks an AI assistant a buying question, the model doesn't browse the web the way a person does and judge which store looks nicest. It leans on structured, machine-readable signals and favors the store that exposes them cleanly. This is the checklist that decides who gets named — and it's almost always what a recommended competitor has that an invisible store doesn't.
Product schema — name, price, availability AI can state with confidenceproducts.json catalog an AI shopping agent can actually readllms.txt / agents.md — telling agents what you sell and how to buyProduct JSON-LD, so AI can't confidently say what you sell or that it's in stockllms.txt or agents.md, so AI agents get zero guidance about youNot sure which column you're in? You don't have to guess. The free check scores your store against exactly these signals in seconds — and if your rival's storefront exposes them and yours doesn't, that single gap is why they get named and you don't.
The instinct is to assume the competitor is winning on ads, reviews, or price. But AI answer engines aren't running your paid campaigns or comparing star ratings when they answer a shopper's question — they're reading data. A store can outspend everyone and still be invisible to ChatGPT if it ships without the structured signals, and a smaller store can get named simply because its data is clean and machine-readable.
That's the frustrating part and the encouraging part at once: you can't buy your way past this with more ad budget, but you also don't have to. The fix is closing specific, checkable gaps on your own storefront — and the first step is finding out precisely which ones are open.
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 0–100 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 to see how you stack up — and then have the gap closed? We run the full audit and the category comparison, 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 built to answer the question you came here with: where are you behind, and what closes the gap. We find it, then we close what 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, with a free re-scan after 30 days.
How your store's AI-visibility stacks up against other stores — so you can see exactly where you're behind and what "good" looks like in practice.
Your score explained signal by signal — schema, answer-readiness, and machine-readable files — so you know what's dragging it down.
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.
AI answer engines recommend the store whose data they can read cleanly. When a shopper asks for a product recommendation, the model leans on structured signals — valid schema.org/Product JSON-LD, an accessible products.json catalog, answer-ready content, and files like llms.txt and agents.md. A competitor that exposes those is easy for AI to describe and name; a store that doesn't is effectively invisible, no matter how good its products or prices. The gap is usually structural, not a matter of quality.
Yes. AI answer engines such as ChatGPT, Perplexity, and Google's AI answers often surface and name specific products, brands, and stores when a shopper asks a buying question, drawing on the structured data and content they can read. If your store doesn't expose that data, the engine simply names a store that does.
Our engines analyze your public storefront over HTTP and score its AI-visibility signals, and the $499 audit compares those signals against other stores in your category so you can see where you're behind. It doesn't run live queries inside ChatGPT to capture a specific name, so it won't hand you a screenshot of a rival being recommended. What it does give you is the exact signal gaps that decide who gets recommended and who gets skipped — and then we close them for you.
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 a comparison against other stores in your category so you can see where you stand, 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 starts appearing in AI answers depends on each engine's own re-crawl cycle, which no vendor controls.
Start with the free AI-Visibility Check. If you want the gap closed rather than catalogued, the $499 AEO Audit + Fix has us do the work — we start within 24 hours.