Hello,
As a W3C participant, I propose forming a new interest group focused on AI Visibility Optimization (AIVO) - ensuring structured, trustworthy, and machine-readable content is surfaced and correctly attributed within AI-driven search and recommendation environments.
With AI search systems (e.g., ChatGPT, Gemini, Claude, Perplexity) increasingly mediating discovery, the technical requirements for visibility and attribution are diverging from traditional SEO. This creates urgent challenges in:
*
Citation integrity and machine attribution
*
Entity clarity across multimodal content
*
Prompt indexing and retrieval performance
*
Bias mitigation in model recommendation layers
The AIVO Standard, a peer-reviewed framework I recently published, formalizes these requirements into measurable benchmarks. It is available here on Zenodo: https://doi.org/10.5281/zenodo.16410942.
The framework aligns with existing structured data vocabularies (e.g., Schema.org) and supports multilingual entity resolution.
A dedicated W3C group could:
1.
Define and maintain technical specifications for AI visibility
2.
Align structured data and metadata requirements with AI retrieval patterns
3.
Develop conformance testing tools and public reporting protocols
I would be happy to share the standard, outline the initial methodology, and discuss integration with ongoing W3C work.
Best regards,
Tim de Rosen
Founder, AIVO Standard
https://AIVOStandard.org
Zenodo DOI: https://doi.org/10.5281/zenodo.16410942
[horizontal bar]
Tim de Rosen
AIVO Search, Inc., CEO
"For leaders who refuse to be invisible"
[AIVO Search, Inc.]
131 Continental Dr Suite 305
Newark, Delaware 19713
https://aivosearch.com<https://aivosearch.com/>
