https://example-store.com · woocommerce · 6 products
When someone asks an AI assistant like ChatGPT or Gemini for a product, it reads a store's data — not its design — and recommends whichever store it can read best. This report shows two different things: a setup score for how ready this store's own data is to be recommended, and — further down — a visibility score for whether assistants actually name it when real buyers ask. A store can score well on setup and still be invisible, which is why they are never combined.
How complete and readable this store's own product data is. Whether assistants actually name it is the separate score below.
100% of your products have no barcode (GTIN) or part number, in your store or on your pages. Assistants can't confirm what they are, so they recommend someone else's. These are values only you can supply.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/merchandise/posters/al-fursan-poster-2/100% of your structured data has no brand. Assistants often drop a listing they can only half-read.
The words your site uses to describe what makes you different — “muslim”, “manga”, “comic book”, “arabic” — don't appear on your products. They're on your homepage and your about page, which is not where an assistant looks when someone asks for what you sell.
100% of your products don't list a brand anywhere. Buyers ask for brands by name — these can't surface for those questions.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/merchandise/posters/al-fursan-poster-2/All 6 of your products are already sorted into categories in your store, but the category never reaches the page an assistant reads. The work is done — it just isn't being published, so you don't show up when someone browses this kind of item.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/merchandise/posters/al-fursan-poster-2/4 of your products carry details in your store — size, colour, material — that never reach the page. That's exactly what assistants filter on, so these get filtered out despite the work already being done. Publishing them gets you to about 1 of the 3 details we'd want; the rest is worth adding after.
https://example-store.com/store/merchandise/posters/al-fursan-poster-2/ · https://example-store.com/store/comics/reviver3/ · https://example-store.com/store/comics/reviver2/67% of your descriptions are too thin to answer a buyer's question. Assistants quote specs and use-cases — there's nothing here to quote.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/comics/reviver2/50% of your titles are too short or missing the brand, model, or a key detail. Assistants match on titles first — vague ones get skipped.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/merchandise/posters/al-fursan-poster-2/3 of your products publish an ID on the page that your store's own records don't match. On 3 of them it's your website's internal row number, which matches nothing in any catalogue. An assistant matching on these matches the wrong thing, or nothing.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/ · https://example-store.com/store/merchandise/posters/al-fursan-poster-2/33% of your products have fewer than 3 structured details (size, colour, material, compatibility). That's how assistants filter — thin data gets filtered out.
https://example-store.com/store/comics/digital-bundle-of-3/ · https://example-store.com/store/comics/bundle-of-3/A preview on 3 of your products — composed only from data you already have. We never invent facts.
Assistants are not naming you at all.
On every question we asked, someone else got recommended. This is the most common place a good shop starts, and it is the most fixable — you are not in the answers yet because there is not enough on your pages to put you there.
You weren't mentioned in any of the 12 questions.
Very specific questions from exactly your kind of buyer. Few people ask each one, but almost nobody is competing for them.
You weren't mentioned in any of the 6 questions.
We can't yet tell you which of these are realistically winnable — that needs a look at who is holding the answers, and it lands in the next update.
Real competition here, but it is winnable. The goal is to be one of the names the assistant mentions — not to be first.
We're not yet testing mid-sized category searches for your shop — they arrive in your next check.
The broadest questions. Assistants answer these with whoever they already trust at scale. We track them so you know where you stand — they do not count against your score.
You weren't mentioned in any of the 6 questions.
We put every question to each assistant 3 times, because their answers vary between asks. A question counts as answered in your favour when you are named in at least half the times we asked it, on at least one assistant. “Recommended instead” names the retailer the assistant put forward in this store's place.
When this store loses a query, these are the retailers the assistant recommended in its place.