How does Google’s Knowledge Graph work?

Google’s Knowledge Graph is a structured map of the world: a database of distinct entities and the relationships between them, rather than a list of pages. When Google is confident enough about an entity – who a person is, what a company does, how they connect to other entities – it draws on the Graph to frame the result before the user reads a single link.

What feeds the Graph

The Knowledge Graph is built from sources Google trusts to define entities:

• Wikipedia – the canonical reference for most notable entities.
• Wikidata – the structured, machine-readable entity database that links facts across languages.
• Official websites with schema markup – structured data that tells Google what an organization or person is and how they relate to other entities.
• Authoritative third-party references – established sources Google relies on to corroborate entity facts.

What the Graph powers

Once Google is confident about an entity, the Graph becomes the foundation for the entity features that increasingly frame a search result:

• the Knowledge Panel shown alongside results,
• AI Overviews and other generative summaries, and
• the broader set of entity features that appear before the organic links.

Why this matters for reputation

The Graph is upstream of so much of what people see, so influencing what it believes about an entity means improving those underlying sources – the entity layer of a reputation program. We track how an entity renders across Google with IMPACT, because the Knowledge Graph’s read on a client is now the foundation the rest of the result is built on.