Claim truth
A property can express a credential without proving it exists.
A shared vocabulary for web entities
Schema.org and Machine-Readable Meaning
Schema.org provides types and properties for describing organizations, people, products, creative works, defined terms and relationships. It is vocabulary, not verification.
A structured language used across applications
Schema.org organizes types in a hierarchy and associates each type with properties. Publishers can express the vocabulary through JSON-LD, Microdata or RDFa, with JSON-LD commonly used on modern pages.
The vocabulary supports search engines and other applications that choose to consume it. Support for a type does not mean every consumer uses every property.
A useful model for glossaries and frameworks
DefinedTerm describes a word, acronym, phrase or name with a formal definition. DefinedTermSet describes a collection such as a glossary or classification scheme. The types can connect a code, definition and canonical set without turning the definition into a platform standard.
Hidden Radius uses those types for the modern-search glossary and identifies REG as an original framework through visible content and source attribution.
Use @id to connect the same thing across pages
- Create a stable first-party @id for the organization.
- Reference that same identifier from articles, services and contact pages.
- Separate the page URL from the entity identifier where appropriate.
- Use canonical URLs and visible names consistently.
- Do not create several identifiers for the same entity without a reason.
A label is not proof
Entity resolution
Markup can help but cannot force consumers to merge or separate records.
Ranking
Valid data does not guarantee a ranking improvement.
Rich results
Eligibility does not guarantee the enhanced interface will appear.
Freshness
Markup remains stale if the publisher does not update it.
Universal consumption
Different products support different types and properties.
Visible first, structured second
Write a complete page for people. Add structured data that accurately describes it. Validate the syntax and inspect the deployed result. Monitor official consumer guidance for supported features rather than assuming every Schema.org type creates a search treatment.
Primary material behind this analysis
Schema.org DefinedTerm and Vocabulary Documentation
Vocabulary for describing terms, organizations, people, creative works and relationships.
AI Features and Your Website
Official explanation of AI Overviews, AI Mode, query fan-out, eligibility and controls.
Continue through the discovery stack
Structured Data and JSON-LD
A rigorous guide to JSON-LD, Schema.org, visible-content alignment, entity identifiers and the real role of structured data in search and AI discovery.
Knowledge Graphs and Entity Relationships
An explanation of knowledge graphs, entity nodes, relationships, graph errors, first-party identity and the connection to recognition and retrieval.
Entity Recognition and Resolution
How systems distinguish organizations, people, products and places, why identity conflicts weaken discovery and how to resolve them.
REG Explained: Recognition and Retrieval Engine Guidance
A standalone analysis of the REG framework, its recognition and retrieval pillars, origin at IRefer Club and difference from RAG.