entity-seo

This skill guides entity-based SEO: making a brand, product, and authors recognizable as distinct entities within search engines' knowledge systems. It responds to the shift from keyword-matching to meaning-based understanding (Hummingbird, RankBrain, BERT, MUM), where search engines interpret intent via entities rather than literal phrases. The skill helps content be identified, categorized, and connected within the Knowledge Graph, and notes that entity-structured content can gain substantially more visibility in AI-powered search.

It explains what an entity is (a singular, unique, well-defined thing with an identity, attributes, and relationships) and how entities differ from keywords, then covers why entity SEO matters for search understanding, the Knowledge Graph, AI search citation, E-E-A-T, and generative engine optimization. Practically, it provides entity-signal content best practices (consistent brand and product naming, author and organization identity, self-contained citable paragraphs, cross-platform consistency) and concrete schema.org guidance for Organization and Person markup, including placement in a global layout, required and optional properties, and stable @id URLs for entity linking. It addresses Knowledge Panel and Knowledge Card obtainability, multi-domain hub-spoke consistency, and how entity signals strengthen AI citation, cross-referencing related skills like schema-markup, eeat-signals, and generative-engine-optimization.

It targets SEO specialists, content marketers, and web teams who want their brand, products, and authors to be understood as entities. It is purely advisory reference content with no code execution or risky behavior; its concrete outputs are audits, schema snippets, and consistency checklists.