Entity Graph
An entity graph is a knowledge structure that maps entities (people, organizations, technologies, concepts) and their relationships in your content. AI systems use entity graphs to understand content context, topical authority, and semantic relationships.
Definition
An entity graph represents knowledge as interconnected entities and their relationships. In content optimization, entities include People (authors, experts), Organizations (companies, institutions), Technologies (tools, platforms), Concepts (ideas, methodologies), Places (locations), and Products (offerings). Entity graphs help AI systems understand what your content is about, how concepts relate to each other, and whether you have comprehensive topic coverage. When AI systems analyze content, they extract entities, map relationships (e.g., "Company X uses Technology Y"), and assess whether content demonstrates topical authority through comprehensive entity coverage.
Examples
A blog post about "React" should include entities like: Person (Dan Abramov, React creator), Organization (Meta/Facebook), Technology (JavaScript, JSX), and related Concepts (component architecture, virtual DOM).
An article about "SEO" should map entities like: Organizations (Google, Moz), Technologies (Google Search Console), Concepts (keyword research, link building), and People (industry experts).
A guide about "Machine Learning" should connect entities like: Technologies (Python, TensorFlow), Concepts (neural networks, supervised learning), Organizations (OpenAI, Google AI), and People (researchers, thought leaders).
How to Apply
- 1.Extract existing entities from your content (people, organizations, technologies, concepts)
- 2.Map relationships between entities (who works for what, what uses what, what relates to what)
- 3.Identify missing entities that should be included for comprehensive coverage
- 4.Use schema markup (Person, Organization, Product) to help AI systems understand entities
- 5.Build entity density by covering 5-10 key people, 10-20 organizations, and 15-30 technologies/concepts per topic
Related Tools
Related Tools
Complement your analysis with these AI citation optimization tools: