Technical

Structured Data (Schema)

Also known as: Schema markup

Structured data is machine-readable code, usually schema.org markup in JSON-LD, that states explicitly what a page and its entity are: an organization, a product, an FAQ, an article. It removes ambiguity for engines, making your content easier to parse, trust, and quote in AI answers.

Structured data is a layer of machine-readable labels you add to a page so engines do not have to guess what it is. Written as schema.org markup in JSON-LD, it says, in effect, “this is an organization named X,” “this block is a question and its answer,” “this page is a product review.” That clarity helps both classic search and AI engines understand and reuse your content.

Why it helps AI engines

An AI engine parses your page to extract facts and quotable passages. The cleaner the signal, the more reliably it can do that. Schema removes ambiguity: FAQ markup tells the engine exactly which text answers which question, organization markup pins down your identity, and that feeds entity clarity. Structured data does not guarantee a citation, but it lowers the friction between your content and the answer.

The types worth using

Use the schema that honestly describes your content:

  • Organization / Person: who you are, reinforcing your entity.
  • FAQPage: question-and-answer blocks, easy for engines to lift.
  • Article / Product: what a given page is.
  • DefinedTerm: definitions, which is exactly what the pages in this glossary use.

Pair schema with answer-first content and a crawlable site, and you make your pages as easy as possible to read, trust, and quote. For the wider workflow, see optimizing content for AI search.

Frequently asked questions

Does structured data help with AI search?

Yes, as a supporting signal. Schema does not force an engine to cite you, but it makes your content unambiguous and easy to parse, which helps engines understand your entity and lift the right passages. FAQ and organization schema are especially useful.

What schema types matter most for AI visibility?

Organization and Person schema clarify your identity, FAQPage marks up question-answer content, Product and Article describe what a page is, and DefinedTerm suits glossary entries. Use the types that honestly match your content.

Is structured data enough on its own?

No. Schema clarifies content that is already good; it cannot rescue thin or untrustworthy pages. Treat it as the layer that removes ambiguity on top of strong, answer-first content and real authority.

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← Back to the glossary · Updated July 2, 2026