- From: <public-council@w3.org>
- Date: Tue, 24 Feb 2026 02:41:49 +0000
- To: Kurt Cagle <kurt.cagle@gmail.com>, Doğu Abaris <abaris@null.net>, Bernard Lynch <bernard@aivisibilityarchitects.com>, Peter Hulst <peter@hollice.ai>, Michael Caskey <mcaskey@gmail.com>
- Cc: public-council@w3.org
With your support, the AI Visibility Lifecycle Framework Community Group has been launched: https://www.w3.org/community/ai-web-visibility/ This group was originally proposed on 2026-02-10 by Bernard Lynch. The following people supported its creation: Kurt Cagle Doğu Abaris Bernard Lynch Peter Hulst Michael Caskey To join the group, please use: https://www.w3.org/community/ai-web-visibility/join Please note that supporting a group is different from joining a group. Supporters must also enroll if they wish to participate. -------------------- As AI systems increasingly determine what web content people see, there is no shared vocabulary, framework, or measurement approach for understanding how content becomes visible — or invisible — within AI discovery and response systems. Publishers, website developers, platform operators, agencies, AI system developers, and researchers lack common reference points for evaluating how content is discovered, understood, trusted, and surfaced by AI systems. The AI Visibility Lifecycle Community Group will provide a collaborative forum to explore these challenges, with the aim of developing shared vocabulary, measurement approaches, and best practices for understanding content visibility within AI discovery and response systems. The 11-Stage AI Visibility Lifecycle framework ([DOI: 10.5281/zenodo.18460710](https://doi.org/10.5281/zenodo.18460710)) is intended to serve as a starting point for discussion within the group, but is not intended to constrain the group's discussions or decisions about future deliverables. -------------------- Thank you, W3C Community Development Team
Received on Tuesday, 24 February 2026 02:41:51 UTC