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Free tool

Find what’s missing from your product page.

Paste a link to one of your product pages. In a few seconds you’ll see which product facts buyers, Google and AI assistants can actually read, where their understanding breaks and what to fix first.

Any public product page, yours or a competitor’s. Free · No login · Nothing to install
100points
What the report checks

What makes a product page ready for AI?

Six areas decide whether a buyer, Google or an AI assistant can identify, understand, compare and buy the exact product. Checks that don't apply to the product's category are left out of the score.

  1. Access & retrieval10

    Can AI assistants and search engines reach the page?

    Robots rules per crawler, the page status and what the served page contains.

  2. Identity & variants20

    Is it clear exactly which product and variant this is?

    Brand, article number, GTIN and the selected colour or size.

  3. Product understanding25

    Are the facts that matter for this category there?

    Category facts like capacity, dimensions or material, with units.

  4. Buying questions15

    Can common shopper questions be answered?

    Questions like “under 1 kg?”, checked against the facts on the page.

  5. Data quality & evidence15

    Are the facts consistent and supported?

    Page, markup and app data agree, no malformed values, documents back it up.

  6. Buying information15

    Can the buyer take the next step?

    Price or a quote path, stock, shipping, returns and warranty.

We fetch the page as ClaroDemo/1.0 and respect robots.txt. Facts come from the structured data, the visible page, the app data embedded in it, a browser render when the served page is nearly empty, and the site’s shipping and returns pages.

One page is usually only the beginning.If one page is missing specifications, identifiers or documents, the same gaps usually exist across hundreds or thousands of SKUs. Claro checks your whole catalog, finds the missing information in supplier and manufacturer sources, maps it to your schema and shows the source behind every value.
Run this across my catalog →
Reading the result

How does your page score?

  1. 80–100

    Strong product page

    The essential product information is in place and consistent. Next, look at the category-specific attributes that make the product easier to compare and find.

  2. 50–79

    Important gaps

    Some of the information buyers or downstream systems depend on is missing, unclear or inconsistent.

  3. Below 50

    Major gaps

    The page contains too little structured product information to reliably identify, compare or understand the product.

FAQ

About the product page report

What does the product page report check?

It reads one public product page and scores it out of 100 in six areas: access, identity and variants, product understanding, common buying questions, data quality and evidence, and buying information. It first works out the product's category, so it only asks for the facts that matter for that kind of product: capacity for a bag, thread size for a fitting.

What's a machine-readable fact?

A product fact, like a weight or a material, that's in the page's structured product data, where search engines and AI assistants read it reliably. A fact that's only in the visible text or in the page's app data is still there, but harder for machines to find and trust. That's usually the biggest and cheapest gap to close.

Why does my page say "Not measured"?

The report couldn't assess the page and says why: robots.txt blocks it, the server returned an error, the site was unreachable, the response wasn't HTML, a bot check or login page came back instead of the product, the page stays empty even after rendering, or it isn't a single product page. That's a finding, not a score of zero.

Does it run JavaScript?

It reads the page your server sends and the app data embedded in it. If the served page is nearly empty, it also renders it in a browser, and tells you which facts only appear after JavaScript runs, since some crawlers won't see those.

Is an AI model involved?

Only to word the summary. The score, the facts and every finding come from fixed rules, so the same page always gets the same score. If the summary can't be written, or mentions a number that isn't in the report, plain template wording is used instead.

What does the catalog scan do?

It reads your site's sitemap, checks up to 30 product pages with the same rules, a couple at a time, and shows the gaps that repeat across them, such as "83% show material to shoppers but not in structured data". One scan per site per hour.