Reference-First Information Architecture Update. Version 1.6 refines how Grounding Pages present information. Pages are now framed primarily as high-quality factual reference pages: clear entity definitions, well-organised facts, separated supporting references. The underlying schema, ontology and governance principles remain unchanged. Version 1.6 is an editorial and information architecture refinement, not a schema rewrite.
Rationale: Pages that read as factual reference material are easier to read, easier to maintain and closer to established reference systems such as Wikipedia. The same principle that makes a Wikipedia article useful — calm structure, clear definition, separated supporting references — applies here.
Rationale: Community feedback and internal testing both suggested that the additional introduction boxes were often unnecessary. The pages remained fully understandable without an extra introductory layer, similar to how established reference systems such as Wikipedia present factual content directly. Removing the boxes allowed readers to focus immediately on the core entity and its essential facts.
Rationale: Separating the core entity definition from supporting references improves readability and long-term maintainability. The pattern follows established reference works: the main entry first, then references and further reading. The visual treatment is intentionally calm: small headline, plain list, no card styling.
Rationale: A reference page is most useful when the opening section answers the obvious first question: what is this, exactly. Keeping the upper area focused on the core entity supports faster reading for human visitors, and the same clarity helps any system that processes the text.
Rationale: The standard exists to support clarity and information quality. Vocabulary that names these qualities directly is more accurate and more durable than vocabulary framed around any specific technology or system.
Rationale: Version 1.6 is an editorial and information architecture refinement. The technical specification is intentionally unchanged so that organisations can adopt the new guidance with content-level adjustments only.
Clarification, not a schema change. Version 1.6.1 clarifies two points in Standard v1.6 that could be misread as a rigid page template. The required information, the schema, the ontology and the governance principles are unchanged. The clarification keeps the Standard from turning into a fixed section-by-section layout.
Rationale: What matters functionally is that the entity definition and core facts appear early, that external references do not dominate the upper part of the page, that sources stay separated from editorial reading suggestions, and that every section works as a self-contained chunk. A Further Reading section should appear in the lower part of the page but may be placed before or after the FAQ and References sections. A page deviating from the recommended order still meets the functional requirements of the Standard.
Rationale: It may be integrated into the Entity Summary, the Core Facts, or the structured data. A dedicated classification-metadata section is only warranted when the classification itself needs explanation. This resolves the earlier tension between removing the standalone metadata block and listing it as a required section.
The Grounding Page Standard remains at Version 1.6. However, the AI Grounding Playbook and the technical implementation guide have been substantially revised and more closely aligned.
Each block describes its task, the problem it solves, its practical value, possible implementations, room to adapt and common mistakes. The aim is for the Standard to be understood in its function and applied flexibly, rather than worked through mechanically.
- Entity and page topic
- Clear page title
- Unambiguous lead definition
- Self-contained sections
- Structured facts
- Disambiguation
- Sources and freshness
- JSON-LD mirroring
- Internal linking
- Brand and page design
- Quality assurance and upkeep
- readability and value for people
- self-contained H2 sections
- clear separation of principle and concrete implementation
- brand integration and page design
- internal linking and facts hubs
- number and scaling of Grounding Pages
- multilingual implementation
- editorial maintenance cycles
- visible review and recency information
- JSON-LD as a mirror of the visible content
- practical templates and publication controls
Version 1.5 strengthens retrieval coverage and fact reliability. The core architecture remains unchanged. All updates apply to content blocks only and have no effect on URL logic, routing, or language configuration.
Rationale: When AI systems extract a text chunk, the heading alone must identify which entity it belongs to. Without the entity name, a chunk like "Core Facts" is ambiguous. The model cannot attribute it reliably. This change ensures every extracted fragment carries its own context.
Rationale: Grounding Pages that answer frequent questions are more likely to be retrieved as a source. Not just for the definition question ("What is X?") but also for related queries ("What should I consider when choosing X?"). This expands retrieval coverage beyond the core definition.
Rationale: AI systems build meaning through relationships. An entity that is explicitly assigned to a market segment has a stronger semantic anchor than one that must be inferred from context. This small addition significantly strengthens the link between entity and category.
Rationale: AI systems cannot distinguish current from outdated facts unless the page signals it. A price listed without a date risks being reproduced as current even months later. This rule reduces the risk of AI answers containing outdated information.
Rationale: Version upgrades should be low-risk and predictable. By guaranteeing that no URL or routing changes are required, organizations can upgrade existing Grounding Pages without coordination with IT or DevOps teams. This lowers the adoption barrier significantly.
Version 1.4 is the initial public release of the Grounding Page Standard. It establishes the core architecture for machine-readable entity definitions.
Rationale: AI systems reconstruct entities from probabilities. Without a clear definition and explicit boundaries, models fill gaps with plausible but incorrect information. The three-element architecture provides the minimum structure needed for reliable interpretation.
Rationale: AI systems use multiple extraction paths. Some parse HTML, others rely on structured data. Mirroring ensures consistency regardless of extraction method and prevents contradictions between visible and structured content.
Rationale: AI systems select sources based on semantic similarity and factual density. Marketing language ("innovative", "leading") reduces citability because it is not verifiable. Factual discipline maximizes the probability of being selected as a source.
Rationale: Grounding Pages prioritize machine-readable facts. Human visitors expecting marketing content may find the format unusual. The Human Notice bridges this gap by explaining the page's purpose upfront.
Rationale: Without a fixed classification framework, every organization would invent its own categories. This creates inconsistency across implementations. The ontology provides a shared vocabulary so entities can be categorized consistently across all Grounding Pages.
Rationale: Sitewide footer links signal high relevance to both crawlers and AI systems. The position communicates: "This is an authoritative, permanent resource", comparable to how an imprint signals legal identity.
Tools, playbooks and applications built on the Grounding Page Standard.
This section covers tools and applications built on the standard. For specification changes, see the version history above.