Schema completeness for AI grounding

What this check looks for

This check evaluates structured data against a curated list of schema.org types AI systems actively consume for entity grounding (Organization, Article, Product, FAQPage, HowTo, LocalBusiness, and similar). No structured data at all warns. Structured data present but using none of these AI-relevant types warns, naming what types were found instead. Present using a relevant type but with fewer than 4 meaningful properties, or with validation errors, warns as thin or invalid. A relevant type with at least 4 properties and no errors passes as rich structured data.

Why it matters

This check goes one step further than the general structured-data validity check elsewhere in this report: having a schema type declared at all is necessary but not sufficient — a Product block with only a name and nothing else gives an AI system almost nothing to work with when deciding whether your page authoritatively describes that entity. AI answer engines use rich structured data to confidently attribute facts (a price, a publish date, an author, a rating) to a specific, well-defined entity rather than having to infer them from unstructured prose, where the same fact might be phrased ambiguously or buried mid-paragraph. A thin schema block signals "we added markup to check a box," while a rich one signals "this data is deliberately complete and trustworthy."

How to fix it

Fill in a meaningful set of properties for whichever type matches the page, not just the bare minimum:

<!-- Thin: only 2 properties -->
<script type="application/ld+json">
{"@context":"https://schema.org","@type":"Product","name":"Wireless Headphones"}
</script>

<!-- Rich: enough properties for confident AI grounding -->
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Wireless Noise-Cancelling Headphones",
  "description": "40-hour battery, adaptive ANC.",
  "brand": "Acme Audio",
  "sku": "ACME-WNC-01",
  "offers": { "@type": "Offer", "price": "249.00", "priceCurrency": "USD" }
}
</script>