PromptScoutWhat is Knowledge Graph?
Knowledge Graph is a structured representation of entities and the relationships between entities, used to support understanding and retrieval. A Knowledge Graph can power entity panels, disambiguation, and related-entity suggestions.
Quick definition
Knowledge Graph is a database of entities and relationships that helps systems understand topics.
How Knowledge Graph works
- Knowledge Graph systems store entities with identifiers and attributes.
- Knowledge Graph systems link entities through relationships, such as “is a type of” or “is associated with.”
- Knowledge Graph systems can use structured data and schema markup to connect webpages to entities.
- Knowledge Graph systems can support semantic search by resolving ambiguity in names and concepts.
Why Knowledge Graph matters
Knowledge Graph matters because entity understanding can influence how information is surfaced and summarized.
Knowledge Graph affects:
- entity-based SEO and how a site is associated with a topic
- source selection for AI search results and LLM answers
- trust and authority signals when entity information is consistent
Example use cases
- Using schema markup to describe a product or organization as a structured entity.
- Ensuring consistent naming so an entity is not split into multiple variants.
- Linking a concept page to related entities through clear internal linking and headings.