Entity authority
Also known as: entity trust, knowledge graph authority
Entity authority is the degree to which search engines and AI systems trust your brand as a recognizable, well-defined entity in their knowledge graph. It's built through structured signals — schema.org Organization markup, Wikidata, Wikipedia, sameAs chains across owned profiles — and reinforced by tier-1 editorial coverage. In 2026 it's the single most important foundation for AI search citation.
Why it matters
Generative AI engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews) make citation decisions partly on entity confidence — “do we know who this brand is and can we trust them as a source?” A brand with strong entity signals gets cited preferentially even when its content quality is comparable to competitors.
How it’s built
Five layers, in order:
- Schema.org Organization with stable
@id, complete address, telephone, email, sameAs chain — deployed sitewide - Wikidata entity — the structured-data version of Wikipedia; easier to create than Wikipedia, AI engines ingest it directly
- Wikipedia entry when achievable — strongest single signal, hardest to obtain
- Verified Google Business Profile if physical premises exist
- sameAs chain across LinkedIn, Crunchbase, GitHub, X/Twitter, Instagram — all resolving correctly to owned, active profiles
What weakens it
- Inconsistent NAP (Name-Address-Phone) across owned profiles
- Inactive social profiles that resolve but show no recent activity
- Multiple competing Organization schemas with different
@idvalues fragmenting the entity graph - Missing schema.org on the homepage (most-crawled page)
In practice
Entity authority work is the first deliverable in most Resocial AI Search engagements — there’s no point optimizing content for citation if the underlying entity isn’t trusted.
- Resocial service →
/services/ai-search/ - Read on the blog →
/blog/ai-search-optimization-complete-guide/ - Read on the blog →
/blog/chatgpt-vs-perplexity-seo/