sameAs

sameAs is a schema property that links a brand or person's identity on one page to their authoritative external profiles elsewhere, commonly Wikidata, Wikipedia, and LinkedIn, giving crawlers a direct, machine-readable way to confirm that different mentions across the web refer to the same entity.

Why it matters

sameAs is one of the most direct, low-effort levers for strengthening a brand's entity chain, since it explicitly hands an AI system the cross-references it would otherwise have to infer, directly supporting entity-level verification and knowledge graph disambiguation.

Related terms

• Entity Chain

  An entity chain is the distributed set of independently verifiable mentions and structured data about a brand, spanning its own site, Wikipedia, LinkedIn, industry directories, and press coverage, that any retrieval system can resolve back to one consistent entity. The stronger and more consistent this chain, the more confidently an AI system can confirm what a brand is.

• Entity-Level Verification

  Entity-level verification is Gemini's practice of cross-checking a source's claims against Google's knowledge graph before citing it, confirming that the brand, person, or fact referenced is a recognized, disambiguated entity rather than an unverified mention. A claim tied to a well-established entity clears this check more easily than one tied to an ambiguous or newly formed one.

• Schema Markup / Structured Data

  Schema markup, or structured data, is machine-readable metadata embedded in a page, most commonly as JSON-LD, that explicitly tells crawlers what the content actually is: an article, an organization, a product, a set of questions and answers, rather than leaving that classification to inference.

• Knowledge Graph

  A knowledge graph is a structured database of entities and the relationships between them, Google's and Wikidata's are the two most influential, that AI systems consult to verify claims and resolve which real-world thing a name actually refers to.