Master the techniques of linking disparate web mentions to a central entity node, ensuring Search Generative Experiences and LLMs recognise your brand as a single, authoritative authority.
15 min read
Foundations
Visual diagram
A hub-and-spoke model showing a central Website Node connected via 'sameAs' arrows to social profiles, Wikidata entries, and industry news articles.
Section 1 of 10
Introduction to Entity Linking
Entity linking is the technical process of ensuring that every mention of your brand, person, or product across the digital ecosystem is correctly attributed to a single, unique identifier in the Knowledge Graph. In the era of Generative Search (SGE) and AI-driven discovery, the 'strings' (textual characters) matter less than the 'things' (the concepts they represent). If an AI model sees "ACME Corp" on one site and "ACME Global" on another, but cannot confidently link them, your authority is fragmented. Your goal as an AI Visibility Practitioner is to glue these mentions together using Schema.org, persistent IDs, and semantic proximity.
Introduction to Entity Linking
Lesson Quiz
Pass at 70%.
1. What is the primary purpose of the 'sameAs' property in JSON-LD?
2. Which of these acts as the most authoritative 'anchor' for an entity in the global knowledge graph?
3. How does 'Entity Linking' differ from traditional 'Backlinking'?
4. What is 'NAP+W' consistency?
5. Why is entity disambiguation important for a brand like 'Apple'?
6. What is the benefit of using an @id in your JSON-LD?
7. Which property would you use to link a person to their academic research ID?
8. What does it mean when an entity has 'low confidence' in a search engine's graph?
9. In the context of AI visibility, what is a 'Canonical URI'?
