| name | entity-seo |
| description | When the user wants to optimize for entity recognition, Knowledge Graph, or entity-based SEO. Also use when the user mentions "entity SEO," "entity optimization," "Knowledge Graph," "Knowledge Panel," "entity signals," "brand entity," "entity linking," "entity relationships," or "entity-first content." |
| metadata | {"version":"1.0.0"} |
SEO: Entity SEO
Guides entity-based SEO—making your brand, product, and authors recognizable as distinct entities in search engines' knowledge systems. Google moved from keyword-matching to meaning-based understanding (Hummingbird, RankBrain, BERT, MUM); entity understanding is central to how search processes queries. Content structured around entities can receive ~3.2× more visibility in AI-powered search. References: Semrush, Search Engine Land.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Entity definition: Singular, unique, well-defined things (person, place, organization, product, event)
- Entity vs keyword: Entities = underlying concepts; keywords = text strings
- Knowledge Graph: Google's entity database; powers disambiguation and related concepts
- Implementation: Schema (Organization, Person); entity signals in content; consistency across platforms
What Is an Entity?
An entity is a thing or concept that is singular, unique, well-defined, and distinguishable—e.g. person, place, organization, product, event. Entities have:
| Attribute | Meaning |
|---|
| Unique identity | "Apple Inc." ≠ "apple (fruit)" despite same word |
| Attributes | Founding date, location, industry |
| Relationships | Connections to other entities (e.g. Apple Inc. → Steve Jobs, iPhone) |
Entity SEO = optimizing so search engines can identify, categorize, and connect your brand/product/author within the knowledge graph. Keywords are ambiguous; entities maintain consistent meaning across contexts.
Why Entity SEO Matters
- Search evolution: Google uses entities to understand intent, not just match phrases
- Knowledge Graph: Billions of entities and relationships; disambiguation, related concepts
- AI search: Entity-optimized content ~3.2× more visible in AI results
- E-E-A-T: Entity signals support Experience, Expertise, Authoritativeness, Trust. See eeat-signals
- GEO: AI Overviews, Copilot, Perplexity cite entities; clear identity improves citation. See generative-engine-optimization
Entity Signals (Content Best Practices)
| Practice | Purpose |
|---|
| Clear brand/product name | Consistent naming; avoid confusion with similar entities |
| Author identity | Person schema; author bio; link to author page |
| Organization identity | Organization schema site-wide; logo, sameAs |
| Citable paragraphs | Each block understandable on its own; supports AI extraction |
| Consistency | Same name, description, logo across website, social, directories |
Schema for Entity SEO
Organization
- Placement: Minimum—homepage; Optimal—root layout / global component (layout.tsx, _document, global header) so it appears on every page. Do not confine to About page; About uses AboutPage schema. See schema-markup for full placement table.
- Required:
@id, name, url; add logo, sameAs (social, Wikidata)
- Optional:
description, address, contactPoint; use most specific type (LocalBusiness, SoftwareApplication, etc.) when applicable
@id: Use stable URL (e.g. https://example.com/#organization) for entity linking across pages. Link Organization ↔ WebSite on homepage for sitelinks searchbox.
Person
- Use: Author pages; Article author; team members
- Properties:
name, url; affiliation (Organization); sameAs (LinkedIn, Twitter)
- @id: Enables entity linking; e.g.
https://example.com/author/jane/#person
See schema-markup for full VideoObject, Article, Product, etc.; Organization and Person are core for entity SEO.
Knowledge Panel & Knowledge Card
| Feature | Description | Obtainability |
|---|
| Knowledge Panel | Entity info (brand, person, place) in SERP | WikiData, partnerships; most sites cannot directly obtain |
| Knowledge Card | Top-of-SERP semantic answer | Same as Knowledge Panel |
Actions (limited control):
- Claim: Google Business Profile; suggest updates when available
- Consistency: Same brand name, description, logo across all platforms
- Entity Home: Authoritative About page as primary reference
- WikiData / Wikipedia: Can support Knowledge Panel generation
See serp-features for Knowledge Panel in SERP context; multi-domain-brand-seo for Hub-Spoke entity consistency.
Entity & Multi-Domain / Brand
When using multiple domains (Hub-Spoke):
- Consistency: Same brand name, description, logo across Hub and Spoke
- Entity Home: Authoritative About page on Hub as primary reference
- Schema: Organization with subOrganization for related entities
- Entity confusion: Avoid legacy brands, sub-brands, directories diluting brand perception
See multi-domain-brand-seo for full strategy.
GEO & AI Citation
Entity signals strengthen GEO citation:
- Direct-answer format + entity signals = clearer AI extraction
- Citable paragraphs with clear brand/product/author identity
- Distribution: Website, YouTube, forums, Reddit—consistent entity identity across platforms
See generative-engine-optimization for full GEO strategy.
Output Format
- Entity audit (brand, product, author identity gaps)
- Schema (Organization, Person; @id placement)
- Consistency checklist (name, logo, description across touchpoints)
- Knowledge Panel (claim if eligible; suggest updates)
Related Skills
- schema-markup: Organization, Person; @id for entity linking
- eeat-signals: E-E-A-T; author bio; Person schema
- generative-engine-optimization: GEO; entity signals for AI citation
- serp-features: Knowledge Panel, Knowledge Card; SERP context
- multi-domain-brand-seo: Entity & Knowledge Panel; Hub-Spoke consistency
- about-page-generator: Entity Home; authoritative brand reference
