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Schema markup is structured data (typically JSON-LD) embedded in web pages that tells search engines and LLMs what type of content the page contains — is it a product, an article, a FAQ, a how-to guide, or a definition? Schema markup uses the Schema.org vocabulary, a shared standard maintained by Google, Microsoft, Yahoo, and Yandex.

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Why it matters

Schema markup helps AI platforms parse content more accurately when selecting sources to cite. A product page with Product schema is easier for an LLM to interpret and cite than a page with the same content but no structured data. For AEO/GEO, schema markup is a technical prerequisite — not a guarantee of visibility, but a signal that improves your content’s AI-readability.

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How Cited uses it

Cited recommends schema markup as part of technical AI readiness. The GEO Score scanner checks for schema.org presence as one of its signal factors — see the JSON-LD Structured Data signal for what is measured and how to fix gaps.
  • Structured data — the broader category that includes schema markup
  • E-E-A-T — the quality framework that schema supports