Entity SEO is the practice of ensuring that search engines and AI systems understand your brand, products, and expertise as distinct, clearly defined entities — not just collections of keywords. An entity is any clearly defined concept that can be uniquely identified: a person, a company, a place, a product, a topic. Entity SEO involves declaring entity information through schema markup, building consistent brand signals across the web, and earning entity recognition in Google's Knowledge Graph and the training data of AI language models.
The shift from keyword-based to entity-based search understanding is one of the most significant algorithmic changes of the past decade. Google's Knowledge Graph, BERT, and MUM systems all process queries in terms of entities and relationships rather than matching keyword strings. A brand with strong entity presence — clearly defined in the Knowledge Graph, consistently mentioned across authoritative publications, and accurately described in schema markup — benefits from more accurate query matching, Knowledge Panel display, and AI citation likelihood.
Entity SEO techniques
- Organisation schema — explicitly declare company identity, type, founding date, location, and areas of expertise
- knowsAbout property — list the specific topics your organisation has genuine expertise in
- sameAs declarations — link to authoritative profiles (Wikipedia, Wikidata, LinkedIn, Crunchbase) to confirm entity identity
- Consistent NAP — Name, Address, Phone consistent across all digital touchpoints aids entity resolution
- Wikidata entry — creating/improving your entity in Wikidata provides a structured data source Google references
- Third-party citations — being named and described in authoritative publications reinforces entity recognition
- Author schema — linking content to named, credentialled author entities rather than anonymous authorship
Entity SEO directly improves AEO and GEO performance. AI tools identify reliable sources partly by entity recognition — brands with clearly defined entities in knowledge bases, consistent mentions across authoritative sources, and explicit schema declarations about their expertise areas are treated as more credible sources. When an AI system encounters a query about digital marketing, it cross-references its training data and retrieval index for entities recognised as experts in digital marketing. Brands with strong entity presence appear more frequently in these AI-generated responses.
Keyword SEO focuses on ensuring specific keyword phrases appear in page content and metadata to match search queries. Entity SEO focuses on ensuring that the meaning behind those keywords — the brand, topic, or concept they represent — is clearly understood by search engines as a distinct entity. In practice, both approaches are complementary: keyword SEO ensures pages are crawled and matched to relevant queries; entity SEO ensures Google understands the authoritative relationship between the brand and those query topics.