Structured data

What does structured data tell AI about my page?

Structured data is about the machine-readable JSON-LD 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 6 checks in this course, what each one looks for, and what good looks like. We can check that your markup is there, parses and names the right things; we can't check that what it says about you is true.

All 6 checks count toward your headline score.

The checks in this course

6 checks

Structured data (JSON-LD) 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 At least one valid JSON-LD block describing the page.

Read more about JSON-LD

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 validity

FAQ / 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 schema

Organization 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 schema

Right 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 types

Breadcrumb structured data

What is BreadcrumbList schema, and do you need it?

BreadcrumbList JSON-LD earns a distinct breadcrumb rich result in search and gives AI engines a clear sense of where a page sits in your site.

What good looks like A valid BreadcrumbList on interior pages, matching the on-page breadcrumb trail.

Read more about Breadcrumb schema

Words you'll meet here

How does your page read to a machine?

A free scan checks these 6 and everything else in about 20 seconds — no signup.

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The other courses

See all 66 checks