A distinct, identifiable thing — a person, organization, product, place, or concept — with its own attributes and relationships. Generative systems and search systems reason in entities rather than keywords. Being a recognized entity is the precondition for being understood and cited.
A specific, proper-named thing a system can identify and tell apart from others — "5W" the agency, distinct from any other use of the term. Named entity recognition is how systems parse who and what a piece of content is about.
Making an organization, person, or product a clear, distinct, well-connected entity across the knowledge sources generative systems rely on. Entity optimization ensures a system identifies the entity correctly — the foundation beneath retrieval and citation.
The process of determining which specific entity a name refers to when several share it. Weak disambiguation causes a generative system to merge an organization with an unrelated namesake — diluting or corrupting everything it states about that organization.
A structured network of entities and the relationships between them, used by search and AI systems to model the world as connected facts rather than text. Presence in the knowledge graph is what allows systems to treat an organization as a known, citable entity.
Google's database of entities and relationships, powering knowledge panels, AI Overviews, and entity understanding across Google products. An accurate Google Knowledge Graph entry is a core entity-optimization asset.
A free, structured, machine-readable knowledge base that feeds entity data to search and AI systems. Wikidata is a primary, directly editable entity source — which is why entity optimization prioritizes a complete, accurate Wikidata item.
The structured information box a search engine displays for a recognized entity — name, description, key facts, links. The knowledge panel is the visible surface of an entity's machine identity, and a diagnostic signal of how clearly systems model an organization.
The evolution of search optimization from keywords to entities — optimizing for how systems identify and connect things rather than how they match strings. Entity SEO is the bridge discipline between traditional SEO and GEO.
The single authoritative page an organization designates as the definitive source about a given entity — typically an "about" or hub page, richly structured and consistently linked. The entity home anchors disambiguation by establishing where the canonical facts reside.
Machine-readable markup that explicitly states an entity's attributes and relationships — schema.org types, identifiers, and links. Structured entity data removes ambiguity, providing systems with clean facts rather than prose to interpret.
A schema.org property that links an entity to its authoritative profiles elsewhere — Wikidata, Wikipedia, official social accounts, LinkedIn. The sameAs property connects distributed references into one verified identity, strengthening disambiguation.
A measure of how central an entity is to a piece of content. High entity salience signals that content is genuinely about that entity — raising the probability it is retrieved and cited when the entity is queried.
The depth and consistency of an organization's coverage of a subject area, signaling to systems that it is a credible source on that topic. Topical authority is built through comprehensive, interlinked, entity-rich content — and is a strong driver of retrieval.
Matching and merging references to the same entity across different sources and databases into one consistent record. Entity reconciliation is how an organization ensures every system models it as a single, coherent entity.
The process by which a system determines that different references — names, abbreviations, mentions, records — point to the same real-world entity, and which specific entity that is. Entity resolution is the operational core of how systems identify an organization correctly.
The single, authoritative, definitive version of an entity that an organization establishes for systems to resolve toward — the agreed reference identity that name variants, abbreviations, and distributed records all map back to.