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.Documentation Index
Fetch the complete documentation index at: https://docs.getcited.in/llms.txt
Use this file to discover all available pages before exploring further.
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 GEO, schema markup is a technical prerequisite — not a guarantee of visibility, but a signal that improves your content’s AI-readability.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. Cited’s own documentation does not currently implement custom JSON-LD due to a platform limitation, which is documented transparently.Related concepts
- Structured data — the broader category that includes schema markup
- Schema markup and platform tradeoffs — Cited’s own schema limitation
- E-E-A-T — the quality framework that schema supports