AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands
- How to Audit Entity Structure and What are Appropriate Correction Strategies
- Knowledge Graph Fundamentans
- Module Outro – Common pitfalls to avoid, Key Takeaways and Resources
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Search & SEO Concepts
In shortMachine-readable markup, usually schema.org in JSON-LD, that tells search engines and AI systems which entities a page describes and how they relate.
Structured data is information added to a page in a standard, machine-readable format, usually the schema.org vocabulary written as JSON-LD. It tells search engines and AI systems which entities a page describes, such as this Course, its provider Organisation and its instructor Person, and how they relate, without the machine having to interpret prose.
Schema.org, founded by Google, Microsoft, Yahoo and Yandex, provides the shared vocabulary of types and properties. JSON-LD, a W3C standard for linked data in JSON, is the format Google recommends because it sits in its own script block. Three properties do most of the work for entity understanding:
Search engines use structured data to understand entities and to decide eligibility for rich results. For AI features, Google says there is no special schema to add: AI Overviews and AI Mode do not require extra markup.
A homepage carries one Organization block with @id set to the homepage URL plus #organization, a description, a logo and sameAs links to its Wikidata item and LinkedIn page. Every Article on the site then names that same @id as its publisher, and each author’s Person block uses worksFor to point back to it. Fifty mentions become one entity instead of fifty disconnected ones.