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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 does not only need text about a company. It needs to identify the entity, 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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