What does structured data tell AI about my page?
Structured data is about the machine-readable markup (JSON-LD, microdata or RDFa) that states, in a shared vocabulary, what your page is and who is behind it. It matters to a machine because a fact written in schema.org markup is read as a fact, without the guesswork of pulling it out of your prose. Below are the 7 checks in this course, what each one looks for, and what good looks like. We can check that your markup is there, parses, names the right things and is echoed in the page text; we can't check that what it says about you is true.
All 7 checks count toward your headline score.
The checks in this course
7 checksStructured data is present
What is structured data, and do I need it?Machine-readable markup makes your facts eligible for rich results and easier for AI to quote accurately.
What good looks like Schema.org structured data on the page, as JSON-LD, microdata or RDFa.
Read more about structured data (JSON-LD, microdata)Structured data is valid
What happens if my structured data is invalid?Broken or incomplete schema is ignored — or worse, distrusted. (We show the snippet + any errors below.)
What good looks like Every JSON-LD block parses cleanly and each entity declares its @context and @type.
Read more about JSON-LD validityFAQ / Q&A schema
What is FAQPage schema, and should you use it?A question paired with a direct answer is exactly what an AI answer engine or a search result quotes. FAQPage and QAPage markup label your Q&A content in a machine-readable format that Google and the AI/search crawlers (Bing, Perplexity, RAG crawlers) still parse. Google removed the visual FAQ rich result from search listings in May 2026, but that was only the SERP feature — the markup stays valid, is still read, and the Q&A content itself is what gets cited, so keep your answers genuine and visible on the page.
What good looks like A JSON-LD FAQPage block (multiple questions, your own answers) backing a real, visible FAQ — or, for a page built around one user-answered question, a QAPage block.
Read more about FAQPage schemaOrganization schema with sameAs
What is Organization schema, and why does AI need it?sameAs links let engines confirm you're one real entity across sources — the foundation of being named by AI.
What good looks like An Organization entity — JSON-LD or microdata — carrying a logo and sameAs links to your profiles.
Read more about Organization schemaRight schema type for the page
Is my structured data using the right type?Type-appropriate markup (Article, Product, LocalBusiness, Breadcrumb…) unlocks the matching rich results.
What good looks like Schema types that match the page's purpose, with required fields filled.
Read more about schema typesSchema facts also appear in the page text
Should the facts in my structured data also be in the page text?Some AI fetchers read the page text and never see JSON-LD, so a price, date or address that lives only in your markup may never reach them.
What good looks like The key facts in your structured data — name, price, date, author, address, phone — also appear in the visible text.
Read more about schema facts in the page textBreadcrumb structured data
What is BreadcrumbList schema, and do you need it?A BreadcrumbList states where a page sits in your site's hierarchy, in a form a machine can read directly instead of inferring it from the URL or the navigation.
What good looks like A valid BreadcrumbList (JSON-LD or microdata) on interior pages, matching the on-page breadcrumb trail.
Read more about Breadcrumb schemaWords you'll meet here
How does your page read to a machine?
A free scan checks these 7 and everything else in about 20 seconds — no signup.
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