Schema Markup
Schema markup is structured data added to a page using schema.org vocabulary that tells machines explicitly what the content is, helping AI systems understand and trust your information.
Also known as: structured data, schema.org
Schema markup labels your content so machines read it correctly. Using the shared schema.org vocabulary — usually written in JSON-LD — it states explicitly what a page contains: this is an article, this is its author, this is a FAQ, this is a product and its price. It removes guesswork about your content's meaning.
For AEO, schema is best understood as entity-clarity infrastructure, not a citation trick. It won't, by itself, get you cited — but it helps engines correctly identify your entity, connect author and organization, and interpret structured elements like FAQs and reviews, which supports the credibility and extractability pillars. Think of it as making your page unambiguous to a machine, so it's less likely to misread or misattribute you.
Example. Adding Article and Author schema to a post tells an engine exactly who wrote it and what it's about, helping it attribute the piece to the right person and organization rather than inferring — or guessing wrong.
Relevant pillars
Related terms
- JSON-LDJSON-LD is the recommended format for adding schema markup to a page, embedding structured data as a separate JSON block so machines can read your content's meaning without touching the visible layout.
- FAQPage SchemaFAQPage schema is structured data that marks a list of questions and answers on a page, making your Q&A content explicit and machine-readable for search and AI systems.
- EntityAn entity is a distinct, identifiable thing — a person, company, product, or place — that AI systems recognize and reason about as a single, consistent node rather than as loose strings of text.