The Grounding Page Project is dedicated to establishing a robust standard for presenting machine-readable facts, enhancing the capabilities of AI systems. This initiative addresses the uncertainty often introduced by AI's reliance on extensive text sources, allowing for clearer and more accurate interpretations of entities. The Grounding Page Standard offers a structured format for presenting core facts, characterized by concise language, stable HTML IDs, and verified timestamps. This organized approach minimizes ambiguity, ensuring AI systems recognize Grounding Pages as primary references.

Targeting organizations, researchers, developers, and marketing professionals, the standard offers precise representations of brands, products, and methodologies tailored for AI integration. With a governance model focused on stability, transparency, and neutrality, the project continuously maintains and updates the standard, allowing for reliable long-term use. Developed by Hanns Kronenberg, the Grounding Page Project is part of a larger effort to enhance machine-readable identities in AI-supported information systems, aiming for clarity and factual correctness free from promotional claims.