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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).

Related terms covered here

sameAs property
The sameAs property is a schema.org attribute that links an entity (most often an Organization or Person) to authoritative external profiles that describe the same entity — Wikidata, Wikipedia, LinkedIn, Crunchbase, official social accounts, and category registries.
Entity disambiguation
Entity disambiguation is the AI-engine process of deciding which specific brand, product, person, or place a query refers to when the surface words are ambiguous. ‘Acme’ could be the cleaning brand, the SaaS company, or a fictional reference; ‘Pulse’ could be a watch brand or a fitness app.
Entity home
An entity home is the single canonical URL a brand designates as the authoritative definition of its entity — usually the homepage or a dedicated about/company page. It carries the authoritative Organization schema, the full sameAs graph, and the canonical spelling, description, founding facts, and category framing that every other page and third-party profile should agree with.
Wikidata
Wikidata is a free, collaboratively-edited knowledge base of structured facts about entities — people, organizations, products, places — that the major AI search engines lean on heavily for entity attributes and disambiguation.
Knowledge graph
A knowledge graph is a structured database of entities (people, brands, products, places, concepts) and the relationships between them, used by search engines and AI systems to ground answers in verifiable facts.
See it in action — create UGC

Related terms

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