Knowledge graph
A knowledge graph is a structured network of entities and relationships that search engines and AI engines use to understand the world.
A knowledge graph is a database of entities (people, companies, places, concepts) and the relationships between them. Google's Knowledge Graph — visible as the panel beside search results — is the best known. Others: Wikidata (open source), LinkedIn's Economic Graph, and LLM-provider-internal graphs. For GEO, being present in a knowledge graph is an important step: if your company is recognised as an entity by Google and AI engines, you appear more consistently in answers. Without entity status you're only 'a web page'; with it, you're 'a company that does X in sector Y'.
Example
Search your brand and see whether a knowledge panel appears with logo, address and services. If not, the brand isn't fully in Google's Knowledge Graph. Fix: Organization schema on all pages, link LinkedIn, create Wikidata, consistent citations.
Frequently asked questions
Is Wikidata important for GEO?
Yes, demonstrably. Wikidata is an open knowledge graph used by many LLMs as both pre-training data and live retrieval source. A filled Wikidata item contributes to entity recognition across multiple engines at once.
How do I get into Google's Knowledge Graph?
Consistent NAP info everywhere, extensive Organization schema, Google Business Profile, authoritative referrals (LinkedIn, chambers of commerce), and Wikidata. For smaller companies, expect months to years.
Related terms
Further reading
- → Our service: GEO
- → Blog: Google March 2026 Core Update: what really changed