Category: Entities & Citations
Definition:
A Knowledge Graph is a structured representation of information that connects entities and the relationships between them. It helps systems understand not only individual facts, but also how people, organisations, products, places, and concepts relate to one another.
Why it matters:
AI and search systems need to understand relationships between entities to provide accurate and contextual answers. A strong presence in trusted sources and consistent information can help reinforce how a business or brand is understood within the wider information ecosystem.
Example:
A knowledge graph might connect a software company with its founders, products, headquarters, industry, website, competitors, and related topics. These connections help an AI system understand what the company is and how it relates to other entities.
Knowledge Graph vs. Database:
A traditional database primarily stores structured information.
A knowledge graph focuses on entities and the relationships between them, making it useful for understanding context and connections.
Related terms:
Entity · Entity Recognition · Entity Disambiguation · Knowledge Graph Optimization · Brand Entity · Semantic Search · AI Visibility
In simple terms:
A Knowledge Graph is a network of connected information that helps AI and search systems understand entities and their relationships.
