Technical AI discoverability

Updated: 23.07.2026

Organization schema

Organization schema is structured data that describes a company — its name, URL, logo, and sameAs links to official profiles. It is how a brand tells machines, unambiguously, who it is.

In plain terms

Organization markup can declare the canonical name, URL, logo, and sameAs profiles of a company.

sameAs links can provide identity references for systems that consume them, but they are not proof that every profile is authoritative or that every model will use the relationship.

The markup must describe the organization represented by the visible site and remain consistent with canonical URLs and public profiles.

Why it matters

Accurate Organization markup can reduce ambiguity for systems that consume structured data, especially when a brand name is shared or easily confused.

It supports entity consistency but does not prove authority or guarantee correct attribution in an AI answer.

How it relates to GetCited.me

GetCited.me's audit checks for Organization JSON-LD on the analyzed site and can draft Organization plus WebSite markup. Entity Clarify can also generate Organization JSON-LD as part of a disambiguation case. Brand-identity validation still relies on answer evidence and source domains, not schema alone.

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Related terms

EntityAn entity is a distinct, machine-recognizable thing — a company, product, or person — that models track across sources.Schema markupSchema markup is structured data, commonly JSON-LD, that labels entities and page content for systems that choose to consume it.Entity disambiguationEntity disambiguation is the work of making sure AI systems can tell a brand apart from other entities with similar names, so mentions and citations are attributed to the right one.

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