Entity Map:
Visualize How AI Understands Your Brand's Knowledge Graph

Why Entity Maps Determine Your AI Citation Authority

AI search engines understand the world through entities - named things with identifiable properties and relationships. Google's Knowledge Graph, Wikipedia, and Wikidata form the backbone of this entity layer. Brands that are clearly mapped in this entity space - with declared relationships between people, products, locations, and topics - are cited far more reliably than brands that exist only as a website.

Citerank's Entity Map generates a structured visualization of every entity on your site and how they relate. Each entity is scored for Wikidata alignment, and every missing sameAs link is flagged as a specific gap with implementation code.

How the Entity Map Generator Works

1. 1

   Enter Your Domain

   The tool crawls your homepage and key pages, extracting all declared entities from structured data, content, and internal link patterns.

2. 2

   Entity Graph Built with Wikidata Alignment

   Each identified entity - brand, person, product, location, topic - is matched against Wikidata. Alignment scores are calculated. Relationships between entities are mapped and visualized.

3. 3

   Interactive Map with sameAs Gap Report

   The output is an interactive entity graph showing all your declared entities and their relationships. A separate report lists every missing Wikidata sameAs link with the exact URI to add and the JSON-LD block to implement it.

What the Entity Map Generates

• Interactive Entity Graph

  A Volpini-style visual map of your brand's entity ecosystem - brand, people, products, locations, and topics - with relationship edges showing how they interconnect.

• Wikidata Alignment Scoring

  Every identified entity is scored for Wikidata alignment: whether a matching Wikidata entry exists, whether your site links to it, and whether the properties match.

• sameAs Gap Identification

  Lists every entity that lacks a sameAs link to its Wikidata, Wikipedia, or Schema.org equivalent - with the specific URI to add and ready-to-deploy JSON-LD.

• Entity Relationship Depth

  Measures how many declared relationships exist between your entities. Richer relationship declarations improve AI entity disambiguation and citation consistency.

• Missing Entity Detection

  Identifies people, products, or locations mentioned in your content that are not declared in structured data - creating entity ambiguity that AI systems resolve by guessing.

• Export to JSON-LD

  Exports your complete entity graph as a production-ready JSON-LD block that can be added to your homepage or a dedicated entities page.

Who Uses the Entity Map Generator

• SEO strategists building entity authority for AI search visibility
• Brand teams ensuring their organization's Knowledge Graph entry is accurate
• Developers implementing entity-linked schema markup
• Content strategists mapping their topical entity coverage
• Agencies delivering entity SEO as a service
• Enterprises managing complex multi-brand, multi-person entity ecosystems

Frequently Asked Questions

What is an entity map?

An entity map is a structured visualization of the named entities associated with your brand - people, products, locations, topics, and organizations - and the declared relationships between them. It represents how AI systems understand your brand's place in the knowledge graph.

Why do entities matter for AI citations?

AI search engines cite sources they can confidently identify and trust. Brands with clearly declared entity identities - sameAs links to Wikidata, Wikipedia alignment, and explicit relationship declarations in schema - are cited more consistently than brands that exist only as anonymous web content.

What is a sameAs link?

A sameAs link is a schema.org property that connects your entity declaration to an authoritative external identifier - typically a Wikidata Q-code, Wikipedia URL, LinkedIn profile, or other recognized identifier. These links allow AI systems to match your site's entities to entries in their training data with confidence.

What is Wikidata alignment?

Wikidata is a structured knowledge base used extensively in AI training. Wikidata alignment means your declared entities (Organization, Person, Product) have matching entries in Wikidata and are linked via sameAs. High alignment scores correlate with more consistent AI citations.

Is the Entity Map free?

A basic entity map with Wikidata alignment scoring is included in the free plan. Full relationship visualization, sameAs gap identification with implementation code, and JSON-LD export are Pro features.

How often should I update my entity map?

Update your entity map whenever you add new products, team members, locations, or significant content topics. Entity declarations are not crawled as frequently as content, so keeping them current requires proactive maintenance.