Skip to main content
Core concept · Entity & Knowledge Graph

Definition

Cross-platform consistency is the practice of presenting the same core entity facts, the name, address, category, and identifiers, identically across every platform an AI system reads. It spans the business’s own site, its listings and profiles, and the third-party sources that describe it. It is a specific application of entity consistency, focused on the surfaces a model crawls rather than the content of any single one. A model builds one entity record out of many platforms. When a business’s details match across its site, its listings, and its profiles, the model merges them into a single confident record. When they disagree, the model may split the business into competing records or trust none of them, and the business gets named for neither. Consistency is the cheapest way to raise entity confidence, because it removes the contradictions a model would otherwise have to resolve on its own.

Entity consistency

Broader term

Entity confidence

See also

NAP consistency

See also

Entity signals

See also

Entity record

See also

Relevant Plate Lunch Collective Services

Entity SEO Context Map