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What is Entity SEO?

Entity SEO is the practice of optimizing content for the entities (people, places, products, organizations, concepts) that search engines and LLMs use to organize knowledge, rather than for raw keyword strings. The technical foundation is the knowledge graph — a structured database (Google's, Microsoft's, or Wikipedia's Wikidata) that maps entities and their relationships. Entity SEO works because modern search systems no longer match strings — they match entities and infer meaning. A page that clearly establishes itself as 'about' a specific entity (via schema markup, named co-occurrence, internal linking, and authoritative external mentions) gets surfaced for the full neighborhood of related queries — not just the exact-match keyword. Entity SEO is the foundation for AI search visibility: LLMs reason in entity space, and cite pages they identify as entity-authoritative.

Key statistics

  • Google's Knowledge Graph contains 8B+ entities and 800B+ facts as of 2024 — the structural layer beneath modern search ranking (Google blog, public stats).
  • Pages with strong entity signaling (schema, named co-occurrence, Wikipedia presence) rank for 3–5× more long-tail variations than keyword-targeted equivalents (Schema App studies).
  • LLM citation in Perplexity, ChatGPT, and Claude correlates more strongly with entity-graph centrality than with backlink count (GEO research, 2025).
See it in action — create UGC

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