How does Five Blocks handle entity optimization?

Entity optimization is among the highest-leverage and most underweighted disciplines in modern reputation work because the same infrastructure feeds the Google Knowledge Graph (its database of facts about people, companies, and things) 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 (links that tell Google your profiles are the same entity) to other authoritative knowledge bases. Schema markup (structured tags that tell search engines what a page is about): 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.