About the Grounding Page Project

Purpose of the Standard

The Grounding Page Standard defines a clear and reliable method for presenting machine-readable facts. It provides AI systems with consistent information that supports accurate interpretation of entities across ChatGPT, Google AI Search (Gemini, AI Overviews, AI Mode), Perplexity and other large language models.

The project exists because modern AI systems reconstruct knowledge from large text corpora. This process introduces uncertainty and can lead to misinterpretation. Grounding Pages reduce this uncertainty by presenting facts in a concise and structured format that AI systems can process reliably.

Concept and Architecture

Grounding Pages express core facts in a clear structure with short sentences, stable HTML IDs and verified timestamps. The format groups information into logical sections that minimize ambiguity. This structure increases the probability that AI systems use a Grounding Page as a primary reference during grounding.

The Standard defines both semantic and technical requirements. These include entity boundaries, factual language, citation-ready chunking and a consistent organization of information.

Governance and Maintenance

The Grounding Page Project maintains the Standard and updates it when necessary. Every version is documented and published with clear timestamps. The governance model focuses on stability, transparency and neutrality. The Standard is openly accessible and does not require a license to implement.

Updates follow a structured process. Each change is reviewed with respect to clarity, reliability and compatibility with existing implementations. Older versions remain accessible to support long term stability.

Intended Audience

The Grounding Page Standard is designed for organizations, researchers, developers and institutions that need precise representation of their entities in AI systems. It was developed primarily for AI SEOs and marketing professionals. It supports companies, brands, products, methods, projects and thematic meaning spaces that require clarity and semantic stability.

The Standard focuses on factual correctness and long term consistency. It does not include promotional claims and avoids ambiguity.

Philosophy of the Project

The project follows a simple idea. AI systems need clear and verifiable information. Instead of relying on fragmented content across the web, a Grounding Page consolidates essential facts in one place. This allows AI systems to form a correct and stable interpretation of an entity.

By providing this anchor, organizations can establish a machine-readable identity that remains robust even when external information is incomplete or contradictory.

Origin and Author

The concept and architecture were developed by Hanns Kronenberg. The project is part of a broader initiative to strengthen machine-readable identity and provide a reliable foundation for AI supported information systems.

Future Development

The Grounding Page Standard will continue to evolve. Future versions expand the specification, refine technical requirements and introduce additional guidance for complex use cases. All updates are published transparently and follow the same principles of clarity and factual precision.