When a shopper asks an AI,is your product invisible?

Almost always because of one dimension, not an overall weakness — and this kit names which one. AI shopping reads your structured feed, so a single broken signal sinks the item: no feed at all means no Shopping Graph entry; a missing or wrong GTIN drops you out of the competitive cluster; sparse attributes leave the AI unable to answer buyer questions. The kit grades six surfacing dimensions and the weakest one is the verdict, so you see the real reason instead of a comforting blended score. And if your data actively contradicts itself, that's worse than a gap — see the consistency gate below.

Through the structured-feed layer, not your homepage copy. AI shopping reads the Shopping Graph — tens of billions of listings populated from Merchant Center (or local) feeds plus Schema.org markup on your pages. The AI matches a shopper's question to items in that graph, so being present and accurate in the feed, carrying correct identifiers, and having page schema that agrees with the feed is the entry ticket. This kit grades exactly those signals — feed presence, identifiers, attribute depth, schema consistency, freshness, and review authority.

No — and any tool that promises a guaranteed citation or carousel slot is selling something it can't deliver. Organic AI-shopping and answer placements are earned through accurate, complete, consistent data, not bid on. This kit is honest about that: it grades your readiness to surface, it doesn't place you, and it makes no guarantee. What it does is find and prioritize the specific data fixes that make a product eligible to be recommended.

The gate forces an INVISIBLE verdict when your data actively contradicts itself — page schema that disagrees with the feed (a different price, availability, or rating), or a name/address/phone that conflicts across directories. A gap (a missing field) just leaves you out of one comparison; a contradiction makes the AI distrust and deprioritize both sides, which is worse. So a contradiction is a hard stop regardless of how strong the other dimensions are — in the worked sample, a local business with decent signals still goes INVISIBLE on a NAP conflict, and the fix-first is to reconcile the NAP.

Different layer of the same goal. The AEO Citation Audit & Optimizer Kit and GEO work grade whether AI engines cite your brand in answer text — the editorial layer. This grades the product surface: whether your items are eligible to appear in AI-shopping panels, product carousels, and the local pack — the structured-feed layer. A brand can be well-cited in answers and still have invisible products, or vice versa. Run both: surface the product with this, earn the brand citation with the AEO kit.

No connection — you mark each dimension yourself from your Merchant Center, feed, and pages, and it grades deterministically offline. You get a visibility scorecard workbook (.xlsx), a runnable Python gate that shares the workbook's config, a Visibility Audit Playbook and a Surfacing Fix Runbook (both .docx), and a 7-item worked sample. Run it across a catalog, fix the named dimension per item, and re-audit as the surfaces evolve. It grades products and businesses, not people; placements are earned, not bought.