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What is the Google Knowledge Graph?

Also called: Google Knowledge Graph, knowledge base, entity graph

Definition

The Knowledge Graph is Google's database of real-world entities, such as people, companies, places and products, and the facts and relationships connecting them. It powers knowledge panels and helps Google understand queries.

Knowledge Graph, explained

Google announced the Knowledge Graph on May 16, 2012, in a post titled "Introducing the Knowledge Graph: things, not strings". At launch Google said it contained more than 500 million objects and more than 3.5 billion facts about and relationships between them, drawn from public sources and tuned by what people search for. It has grown a great deal since.

You see it in knowledge panels, the fact boxes beside search results, and in features that answer entity questions directly. Less visibly, it helps Google interpret queries: knowing that a search mentions a company rather than a common word changes which results are useful.

Developers can query it. Google's Knowledge Graph Search API lets you look up entities and returns results using schema.org types in JSON-LD. Google's docs note it's migrating the API toward Cloud Enterprise Knowledge Graph for heavier use. For founders, the useful trick is simple: search for your brand and see whether Google returns an entity at all, and with which description.

There's no form to submit your company. Entities get into the graph because Google finds consistent, corroborated information about them across the web: your own site and structured data, authoritative profiles, reference sites, news coverage. The more consistent those sources are, the more confident the graph can be.

AI assistants lean on similar structures. Whether it's Google's graph, Wikidata or a model's internal associations, the same work helps: one name, one description, official profiles linked together, and genuine coverage from independent sources.

Why it matters for founders

Being a recognized entity makes Google more confident about what your brand is, which can bring a knowledge panel and fewer mix-ups with similarly named companies in search and AI answers.

Example

A founder queries the Knowledge Graph Search API for their company name and finds nothing. Six months after standardizing profiles, adding Organization markup and earning press coverage, an entity with the right description appears.

Common mistakes

  • Looking for a way to submit your company directly. There isn't one.
  • Expecting structured data alone to create an entity without outside corroboration.
  • Ignoring name collisions with better-known entities.

Sources

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