Knowledge graph
A network of entities and the relationships between them.
What is Knowledge graph?
Knowledge graphs represent facts as connected entities, such as a company offering a product in a category. Clear entity relationships can help search and AI systems interpret ambiguous names and connect claims across sources.
In practiceWhat does this look like in a real AI answer?
A graph connects a software company to its founders, products, headquarters, and category.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding knowledge graph helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.