ClearSiteScoreYour AI shopping assistant recommends the wrong products
Not because your products are worse — because your product data is not machine-readable. Scan any product URL and see what an AI retriever can actually extract from your page.
- Structured product data, price, availability and identifiers
- Reviews, brand, images and description depth
- Crawler and server-side rendering access
- The buyer questions your copy leaves unanswered
Run a free scan on your store
The hidden problem: AI reads data, not design
A product page can look perfect to a human and still be nearly empty to a machine. Assistants extract attributes — material, size, compatibility, price, availability, ratings — and rank products they can describe with confidence. Anything only visible inside an image, a tab loaded by JavaScript, or free-text prose is often simply not extracted.
- Specs living only in images or PDFs cannot be parsed as attributes.
- Missing SKU/GTIN/MPN means your product cannot be matched to the same product elsewhere.
- No availability or price in structured data makes an assistant treat the offer as unknown.
- Client-side-only content can be invisible to crawlers that do not execute JavaScript.
What an AI actually sees on a typical product page
This is the shape of the attribute table our audit reconstructs for each sampled product page — what was found, what was partial, and what was missing.
| Attribute | What the machine found |
|---|---|
| Product schema | Not present in JSON-LD |
| Price | Visible in HTML, not in structured data |
| Availability | Missing |
| SKU / GTIN / MPN | SKU only, no GTIN |
| Brand | Present |
| Material / size | Only inside a product image |
| Reviews / rating | Site-wide widget, not product-level |
| Description | Present, 380 characters |
12 readiness checks we run on your product pages
The PRO report samples up to 10 product pages (Monitor 25, Agency 100). We do not claim to crawl every product on your store — we sample, and every finding is shown with the raw evidence behind it.
Before
- No Product schema — assistants guess from prose
- Attributes trapped in images
- Availability and price unreadable by machines
- No identifiers, so your product cannot be matched
- Buyer questions unanswered on the page
After
- Valid Product + Offer structured data
- Attributes as text, extractable field by field
- Price and availability exposed to machines
- SKU/GTIN/MPN present and consistent
- The top buyer questions answered in the copy
How it works
Free scan runs in about 30 seconds, no signup required.
The PRO audit fetches and parses up to 10 product pages.
Each finding carries the measured evidence and a code-level fix.
Verify Fix re-runs the technical checks and marks every finding Fixed, Still failing or New — 3 runs per report.
See what an AI can read from your store
What we do not audit
- We do not audit the inside of ChatGPT, Gemini, Copilot or any assistant — those systems are closed.
- We do not guarantee that an assistant will recommend you. We measure whether your data can be read and used.
- We do not measure your sales, conversion rate or ad performance in this audit.
- We do not crawl every product page — we sample and say exactly how many pages were sampled.
What the report looks like
Three example findings, in the format they appear in the PDF and the online report.
8 of 10 sampled product pages have no Product schema. Assistants must infer attributes from prose, which lowers extraction confidence.
Evidence: /product/jacket-01 — no application/ld+json block of @type Product found in the served HTML.
Product identity cannot be matched with the same product on other sources, which weakens comparison and recommendation eligibility.
Evidence: sku present (“JCK-01”), gtin13 and mpn absent in all 10 sampled pages.
Questions your customers ask that your product copy does not answer, with the suggested placement for each answer.
Evidence: “Is it machine washable?”, “Does it fit over a hoodie?”, “What is the return window?” — no matching text found.
Start free, upgrade when it matters
- SEO, GEO and security scores
- Top failing findings
- Shareable free report link
- All six modules including product data
- Up to 10 sampled product pages
- Buyer questions analysis
- Prioritised, code-level fixes with evidence
- 3 Verify Fix runs to prove each fix actually landed
- 3 competitor comparisons on the same machine checks
- PDF report in 5 languages
Works with any stack
Read the deep dive
Why AI shopping assistants recommend the wrong products — and what actually fixes it.
Frequently asked questions
No, and nobody can promise that honestly. We measure whether your product data is complete, structured and machine-readable — the part you control. Assistants are closed systems; we do not audit them.
Find out what an AI can actually read from your product pages
Start with the free scan, or get the full PRO report with prioritised, code-level fixes for €29.
ChatGPT is a trademark of OpenAI, Gemini of Google, Copilot of Microsoft, Claude of Anthropic. ClearSiteScore is an independent website audit service, not affiliated with or endorsed by any of them.