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How does Five Blocks handle entity optimization?

Quick answer

We build the structured signals that make a client legible to Google and AI engines: complete Wikidata records, schema markup, consistent NAP data, authoritative citations, and disambiguation across owned and third-party sources.

Entity optimization is among the highest-leverage and most underweighted disciplines in modern reputation work because the same infrastructure feeds the Google Knowledge Graph and every AI engine simultaneously. Our entity work covers several layers in parallel. Wikidata: a complete entity record with accurate properties for the organization or person, linked to the Wikipedia article where one exists, with sameAs identifiers to other authoritative knowledge bases. Schema markup: Organization, Person, Article, FAQPage, HowTo, and other appropriate schema types deployed across the client’s owned properties with explicit relationship signals. NAP consistency: the name, address, and phone (and other identifying attributes) reading consistently across the open web. Authoritative citations: third-party sources that confirm the entity’s facts in ways the engines can read. Disambiguation: explicit signals separating the client from any similarly named entities. The compound effect across engines is significant because each engine reads multiple layers.

Last reviewed: 19/05/2026

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