Entity SEO

Entity SEO is the practice of structuring content, metadata, and technical markup around discrete named entities — the specific people, places, organizations, products, events, and concepts that search engines and AI systems use to organize their understanding of the world. Rather than targeting keyword phrases, entity SEO targets the underlying concepts those keywords represent, aligning content with the semantic layer of modern search.

Google's Knowledge Graph, which launched in 2012 and has expanded dramatically since, is built on entities and their relationships. When Google processes a query, it increasingly interprets it through the lens of entities — recognizing that "apple" might be the company, the fruit, or the band, depending on context. AI language models work similarly: their parametric knowledge is organized around entities and how they relate to each other. A well-executed entity SEO strategy ensures that your brand, products, and content are clearly associated with the relevant entities in both knowledge graphs and model weights.

Practically, entity SEO involves adding structured data markup (particularly Schema.org types like Organization, Person, Product, and Article) to associate your content with recognized entities, building entity-rich content that explicitly names and describes related concepts rather than using vague language, earning mentions on authoritative sites where the entity context is clear, and maintaining a consistent entity profile across Google Business Profile, Wikidata, Wikipedia, and industry databases.

For AI SEO, entity clarity is especially important because LLMs anchor their understanding of a topic to entity networks. If your content consistently uses the right entity language and is associated with recognized entities, models are more likely to surface it when those entities are relevant to a query. Ambiguous, entity-poor content is harder for models to locate and cite reliably.

A healthcare information site rewrites its condition overview pages to explicitly name and describe related entities (symptoms, treatments, medications, specialist types) using Schema.org markup — seeing a 45% increase in Google AI Overview citations for medical queries.