Knowledge Graph
A knowledge graph is a structured database of entities and their relationships that AI uses to understand and connect information.
Definition
A knowledge graph is a network of entities (people, places, things, concepts) and their relationships. AI systems use knowledge graphs to understand context, verify information, and connect related concepts. Being represented in knowledge graphs increases your visibility and authority to AI systems.
Why It Matters
Knowledge graph presence signals authority and helps AI understand your brand's relationships and context. This improves citation probability for relevant queries.
How to Test with TestMyGEO
TestMyGEO checks for knowledge graph presence and analyzes how AI systems understand your entity relationships.
Best Practices
- Get a Google Knowledge Panel
- Use structured data for entities
- Create Wikipedia/Wikidata presence
- Build clear entity relationships
- Maintain consistent NAP information
Common Mistakes to Avoid
- Ignoring entity optimization
- Inconsistent brand information
- Not claiming knowledge panels
Frequently Asked Questions
How do I get in the knowledge graph?
Create a Wikipedia page, use structured data extensively, maintain consistent online presence, and get mentioned by authoritative sources.