Knowledge graph
A Knowledge Graph is a knowledge base that links entities through typed relationships. Google’s, launched in 2012, powers the Knowledge Panel among other things: it describes people, organizations, places and works, and the links between them.
Standalone definition · 36 words
How does a Knowledge Graph work?
Entities (nodes) are linked by relationships (edges): founder of, headquartered in, subsidiary of. Information comes from reference sources and structured data. Engines use it to disambiguate queries and power direct answers.
Why does it matter for GEO?
LLMs and AI engines reason in entities. A brand recognized as an entity in a knowledge graph is easier to identify, to link to its products and to cite accurately. A brand absent from the graph relies more on scattered mentions.
How do you get your entity recognized?
Consistent name and information everywhere, Organization markup with sameAs, a clear About page, mentions in reference sources, a Wikidata entry if notability criteria are met. You cannot order a Knowledge Panel: you can claim an existing one.
Frequently asked questions
How do I get a Knowledge Panel?
It cannot be ordered. It appears when Google has enough data about the entity.
Are the Knowledge Graph and Wikidata the same?
No. Wikidata is an open database; the Knowledge Graph is a Google system that draws on several sources.
Can I correct wrong information?
Through Google’s reporting mechanisms or by correcting the source of the error.
Related terms
Further reading
- Checklist GEO and LLM / AI 2026
- 2026 GEO Tools Comparison: The Decision Guide
- ← Back to the GEO glossary (114 terms)