Organization
Name, URL, logo, founders, contact points, brands and relationships.
Labels for meaning and relationships
Structured Data
Structured data helps machines interpret what a page describes. It does not make unsupported claims true and it does not create a universal AI ranking advantage.
Machine-readable description aligned with visible content
Structured DataData expressed through a defined vocabulary and syntax so systems can identify entity types, properties and relationships. JSON-LD is a common format used on web pages.
A graph, not a bag of keywords
Person
Name, role, affiliation, credentials and works.
Creative work
Article, report, book, dataset, publication date, author and citations.
Product or service
Name, model, offers, provider, audience and relevant properties.
Defined terms
A glossary term, code, definition and the term set containing it.
Navigation
Breadcrumb relationships and page position within the site.
Markup must describe what the reader can verify
Google’s structured-data policies require markup to represent the visible page accurately. Hidden claims, false locations, invented ratings or unsupported credentials can create policy and trust problems even when the JSON syntax is valid.
Schema.org supplies vocabulary. It does not verify that a statement is current, legal or independently confirmed.
Stable identifiers connect pages
- Assign a stable @id to important first-party entities.
- Use the same @id when the same organization or concept appears on another page.
- Connect articles to the publisher and cited sources.
- Use page-specific types instead of pasting every possible type everywhere.
- Keep canonical URLs, visible names and structured identifiers synchronized.
- Validate syntax and inspect the final deployed HTML.
No special universal AI schema exists
Google states that sites do not need a special AI schema to appear in AI Overviews or AI Mode. Structured data remains useful when it accurately describes page content and supports established search features or machine interpretation.
Hidden Radius treats structured data as one evidence layer within the discovery stack, not as a shortcut around content, crawling, identity or source quality.
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
Schema.org, DefinedTerm and Entity Markup
A guide to Schema.org types, DefinedTerm, DefinedTermSet, JSON-LD entity identifiers, visible-content alignment and limitations.
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.
AI Search Publishing and Technical Implementation Playbook
A combined editorial and technical playbook for identity, evidence, substantial pages, retrieval-ready sections, crawling, structured data, agents and monitoring.