---
type: "Article"
title: "Authority Network: schema markup and entity authority hub"
description: "Structured data and entities that let machines understand and connect the page: schema, Knowledge Graph, Wikidata, digital PR."
resource: "https://www.laurelinlabs.com/topics/authority-network"
tags: ["schema-markup-and-entity-authority", "ai-search-visibility", "authority-network"]
generated: { by: "laurelin-site-build/2026-08-25", at: "2026-08-25T12:00:00+00:00" }
status: "stable"
stale_after: "2027-02-25T00:00:00+00:00"
---
# Authority Network

The authority network is the machine-readable layer that lets a search engine or language model understand what a page is about and connect it to a known entity: valid JSON-LD structured data, Organization and Person nodes with sameAs links to Wikidata, LinkedIn and other corroborating profiles, consistent name and address data, and off-site mentions that agree with the on-site story. Google's Knowledge Graph holds about 54 billion entities, and a brand that is not one of them is invisible to entity-based retrieval. This hub links the Entity Authority framework, the Schema Scanner, the Knowledge Graph gap analysis and the pillar-four audit checks.

## Pages in this hub

- [Entity Authority (Pillar 4)](/pages/entity-authority.md): Make genuine authority legible to the machine.
- [AEO Schema Scanner](/pages/aeo-schema-scanner.md): See the structured data a page is missing.
- [Knowledge Graph Gap Analysis](/pages/knowledge-graph-gap-analysis.md): Find the original insight in the gaps.
- [I built a Chrome extension that shows you the structured data a page is missing](/pages/aeo-schema-scanner.md) (article, 2026-06-13)

## FAQ

### What is entity authority?

The degree to which a brand, product or person exists as a distinct, verified entity in the knowledge graphs that search engines and AI models draw on. It is built by consistent structured data, resolvable sameAs identifiers, a Wikidata item where the notability rules allow one, and third-party mentions that corroborate the same facts.

### Which schema types matter most for AI search?

Organization and Person with sameAs (entity resolution), Article or TechArticle with author, dates and about (provenance), FAQPage and speakable (passage extraction), and BreadcrumbList (site hierarchy). Types the page is not genuinely eligible for add nothing and can trigger a manual action.