Knowledge Graph
A knowledge graph is Google's database of entities and their relationships, providing context and information that powers AI understanding.
What is a knowledge graph?
A knowledge graph is Google's massive database of entities and their relationships, serving as an interconnected network that provides context and factual information for search results and AI systems. The knowledge graph understands that entities like people, places, organizations, and concepts are connected through various relationships—such as "founded by," "located in," or "related to"—enabling search engines to comprehend meaning beyond individual keywords and deliver more intelligent, contextually relevant results.
A knowledge graph provides several key capabilities:
- Powers search features, including knowledge panels, related searches, and entity-based refinements
- Enables users to discover information through semantic connections rather than keyword matches
- Increases visibility in AI-generated answers for brands with strong entity signals
- Positions brands as authoritative sources that search systems trust and reference
For SEO and content strategy, appearing in the knowledge graph means establishing clear entity signals through consistent naming, structured data markup, authoritative mentions across the web, and well-defined relationships to other recognized entities.
Learn more: Explore how the knowledge graph powers search in our Knowledge Graph guide.