Problem · AI search
Our products don’t appear in AI shopping answers. Product data that agents can read.
Shoppers ask AI assistants what to buy and, increasingly, buy through them. Products with clear data, reviews and feeds get recommended; the rest are skipped.
Is this you?Signs we usually see
- Your products aren’t suggested for category prompts
- AI answers quote competitors’ prices and specs
- Merchant feed errors or disapprovals
- Few reviews on your product pages
01 / Quick checks
Three checks you can run today
Each takes minutes. Together they tell you whether this page is about your problem.
- Ask as a shopperRun 10 “best X under Y” prompts and note which products and stores appear.
- Check your feedErrors, missing attributes or disapprovals in your merchant account.
- Check product pagesAre price, availability, specs and reviews in structured data?
Product eligibility reconciliation
Compare product identifiers, availability, price and merchant landing-page facts across the relevant feed and storefront.
| Situation to check | Proposed scope | Boundary |
|---|---|---|
| Ask as a shopper | Run 10 “best X under Y” prompts and note which products and stores appear. An inconsistent stock or delivery field may block a useful recommendation even where the product description is strong. | A general brand mention is not evidence that a product is eligible for a shopping surface. |
| Check your feed | Errors, missing attributes or disapprovals in your merchant account. | Keep an unchanged comparison sample so this check can distinguish the proposed cause from unrelated variation. |
| Incomplete product data | Missing attributes, sizes, materials or specs. | Treat this as a hypothesis until the affected URL or account evidence supports it. |
| Ready to commission a fix | Keep feed validation, merchant access and final product-page checks together; scope each platform's requirements separately. | [CONFIRM: access, scope, owner, fee and review date before work begins.] |
Product eligibility reconciliation
Illustrative blank specification. This is a diagnostic structure, not a client result.
- Affected population
- Compare product identifiers, availability, price and merchant landing-page facts across the relevant feed and storefront.
- Decisive observation
- An inconsistent stock or delivery field may block a useful recommendation even where the product description is strong.
- Alternative explanation
- A general brand mention is not evidence that a product is eligible for a shopping surface.
- Acceptance evidence
- Keep feed validation, merchant access and final product-page checks together; scope each platform's requirements separately.
- Supporting check
- Are price, availability, specs and reviews in structured data?
- Approval
- [CONFIRM: accountable owner and authorised next step.]
What the first handover should make clear
- Compare product identifiers, availability, price and merchant landing-page facts across the relevant feed and storefront.
- An inconsistent stock or delivery field may block a useful recommendation even where the product description is strong.
- Keep feed validation, merchant access and final product-page checks together; scope each platform's requirements separately.
- The original observations, unresolved questions and any client access needed for the next scope.
02 / Likely causes
What usually causes it
In the order we usually check them. Most cases have more than one.
- Incomplete product dataMissing attributes, sizes, materials or specs.
- Feed and page mismatchPrices or availability differ between feed and page.
- No reviewsToo few reviews for answers to trust the product.
- Not in buying guidesMissing from the reviews and lists answers cite.
- Agentic checkout not set upWhere AI checkout is live, stores without it can’t be bought from inside the answer.
03 / What we do
How we fix it
Four steps, in order. You see the evidence and the plan before anything changes on your site.
- Step 01Audit product dataFeeds, structured data and pages compared.
- Step 02Fill the gapsAttributes, reviews and clear specs.
- Step 03Get into the guidesReviews and roundups that answers cite.
- Step 04Prepare for agentsReadiness for AI checkout where it’s available.
04 / Services
Services that fix it
Starting prices in USD. TopClick is not VAT-registered. Scope and price in writing before work starts.
TopClick is not VAT-registered
AI shopping & agentic commerce ↗Product data and feeds that AI shopping answers and agents can find, compare and use.From $[X] /projectRequest
Ecommerce SEO ↗Store pages matched to browsing and product-specific searches.From $[X] /projectRequest
Brand mentions & listicles ↗Placements in “best of” lists, reviews and comparisons that AI answers draw from.From $[X] /placementRequest
Review platform program ↗Verified reviews from your real clients on Clutch, GoodFirms, G2, Capterra, Trustpilot and Google, where buyers and AI answers check you.From $[X] /monthRequest
05 / Questions
Questions about this problem
01Which AI shopping programmes exist?
They change fast and differ by country. We check what’s live in your markets when we start, and date the list.
02Do we need a new platform?
Usually not. Most of the work is data quality on the store you already have.
03Where do we start?
With the free snapshot: we check your site for this problem, confirm the likely cause and send a written first scope with a price.
Start here
Check your site for this
- 1Send your site — we confirm the cause and where we would start
- 2We check search and AI visibility
- 3PDF by email: five website problems and AI visibility, within two business days of receiving your website URL
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