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Deepak Gupta markGEO Compass

Glossary · last updated 2026-05-27

Knowledge graph

Also known as: knowledge panel, entity graph

Google's (and other engines') structured entity database (people, organisations, products, places) that powers knowledge panels, entity disambiguation, and increasingly AI engine grounding. Being a recognised entity in the knowledge graph is foundational for AI search visibility.

Google's Knowledge Graph went public in 2012 and now contains billions of entities across people, organisations, products, places, events, and concepts. Other engines maintain their own versions (Bing's Satori, Microsoft's broader entity graph). The graph powers the right-hand "knowledge panel" on SERPs, entity disambiguation in queries, and most importantly for AI search, the entity recognition layer that grounds AI engine answers.

For publishers, the practical question is: is your organisation and your authors recognised entities in the knowledge graph? The answer determines a meaningful amount of AI search visibility. Recognised entities get:

  • Knowledge panels on Google SERPs (free brand real estate).
  • Confident entity resolution by AI engines: a citation to "your domain" is correctly attributed to "your organisation" rather than confused with a similarly-named entity.
  • Higher trust signal in E-E-A-T evaluation.

Building knowledge-graph presence is structural work, not content work. The signals that matter: consistent name and URL across the web; a Wikipedia article (the single strongest signal); Wikidata entries; verified profiles on platforms with structured entity data (LinkedIn, ORCID, IMDB, MusicBrainz, GitHub); Schema.org Person and Organization markup with a stable @id; a rich sameAs list linking your canonical profile across platforms.

The entity authority guide covers the operational programme. The entity SEO entry covers the broader discipline.

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