Fundamentals
Written for people first, and structured so the AI engines that now answer these questions describe you accurately.
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What is the difference between entity optimization for people vs companies?
Person and company entity optimization follow the same logic but use different signal sets: person work leans on a Person-schema bio site, LinkedIn, authoritative bio citations, and Wikipedia where notable, while company work leans on Organization schema, an accurate Wikidata entry, Wikipedia where notable, and business references like Crunchbase. People need bio consistency and disambiguation; companies need Wikidata and business-directory work.
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How does Google’s Knowledge Graph work?
The Knowledge Graph is Google's structured database of entities - people, places, organizations, and things - and the relationships between them. Trusted sources feed it, and it drives Knowledge Panels, AI Overviews, and most entity-driven search features.
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What is an entity in the context of search and AI?
An entity is a uniquely identifiable thing - a person, brand, place, product, or concept - that search and AI systems treat as a distinct node with its own attributes and relationships, not just a string of keywords.
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What role does Wikidata play in entity recognition?
Wikidata is the free, structured knowledge base maintained by the Wikimedia Foundation. Google's Knowledge Panel and the AI engines read it directly, so a clean, well-linked Wikidata item is a strong entity signal. Where Wikipedia states facts in narrative prose, a Wikidata item stores them as structured statements and identifiers that machines process without parsing text.
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How do you know if Google recognizes your company as an entity?
Check whether the systems return the company as a resolved entity: look for a Google Knowledge Panel, confirm a clean Wikidata entry exists, and read how the major AI engines describe it across models. Confident, consistent answers indicate strong recognition; hedged, wrong, or conflated answers indicate weak entity signals.
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