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Core concept · Entity & Knowledge Graph

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Definition

Entity co-occurrence is the pattern of two or more named entities appearing together within the same document or passage. AI systems use entity co-occurrence patterns to infer relationships between entities and build their internal maps of how concepts and organizations relate to each other. Entity co-occurrence tracks the specific pairing of entities within a single text, whereas co-citation tracks mentions across independent documents. A brand that co-occurs with relevant industry terms, recognized authority figures, and topically relevant organizations builds a rich relationship map within AI knowledge graphs. Deliberately incorporating relevant entity co-occurrences in content — naming related organizations, citing authoritative sources, referencing specific industry concepts — strengthens the brand’s entity graph position.

Co-occurrence signal

Co-citation

Entity salience

Named entity recognition

Entity graph

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