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AEO Glossary

Knowledge graph

A knowledge graph is a structured representation of entities, facts and relationships, often with sources or context, that helps AI systems reason about what things are and how they connect.

In AEO, a knowledge graph matters because an AI engine has to identify the entity behind the text about a company, separate it from similarly named entities, connect it to products, people and sources, and decide which facts are reliable enough to use in an answer.

Why it matters for AEO

  • It turns a brand from a loose set of pages into a clearer entity with properties and relationships.
  • It helps agents answer multi-step questions, such as who owns a company, which product belongs to it or which source supports a claim.
  • It makes source-backed facts more reusable than unsupported marketing copy.
  • It supports disambiguation when names, aliases, products or locations overlap.

A company does not need to publish a graph database to benefit. The practical first step is an entity evidence layer: canonical facts, consistent public profiles, structured data, source mapping and corroboration from credible external references.

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