Full definition
Entity Optimization is the technical practice of defining a brand, product, executive, or place as a unique, well-bounded entity that AI search engines can recognize, retrieve, and reference without ambiguity. An entity is a thing that exists in the world with a stable identifier — a person, an organization, a product, a place, a concept. AI engines use knowledge graphs (Google Knowledge Graph, Wikidata, Microsoft Satori) to disambiguate entities: when the model reads the string "Harch Atelier", it needs to know whether you mean the GEO agency in Casablanca, a furniture brand in Lyon, or a person named Harch Atelier. Entity Optimization builds that disambiguation through four layers: (1) schema.org Organization and Person JSON-LD on the primary domain, (2) a Wikidata entry with the same key facts, (3) consistent NAP data (name, address, phone, founding date, founder name) across 30+ high-authority third-party domains, and (4) inbound links that use the canonical brand name as anchor text. Harch Atelier runs entity builds as the first phase of any GEO program — without entity disambiguation, content rewrites and structured data have no effect because the model cannot reliably match your new content to the right node in its internal graph.