Show HN: AIVO Standard v2.2, a framework for multimodal AI visibility

Hacker News - AI
Aug 13, 2025 06:30
businessmate
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hackernewsaidiscussion

Summary

AIVO Standard v2.2 expands its framework for brand visibility in AI-generated answers to include multimodal search, now addressing how image and video data are parsed and surfaced by systems like ChatGPT and Gemini. The update introduces a tiered checklist and practical tools for optimizing visibility across text, image, and video, with implications for improving AI search, SEO, and multimodal retrieval. This advancement highlights the growing importance of comprehensive metadata and asset preparation for brands aiming to be discoverable in increasingly visual AI environments.

We’ve just published version 2.2 of the AIVO Standard, a framework for measuring and improving a brand’s visibility inside AI-generated answers. Earlier versions focused on text-only search in LLMs (ChatGPT, Claude, Gemini, etc.). This update introduces a new stage — 5.11 Visual Search — covering how image and video data are parsed, described, and surfaced by multimodal AI systems. The framework includes: A tiered checklist for AI visibility across text, image, and video Test methods for prompt-based recall and citation presence Practical fixes for metadata, schema, and asset preparation Links: Medium overview: https://medium.com/@tim_62250/ai-search-can-now-see-you-if-y... GitHub release: [link to v2.2 release once live] PDF: [Zenodo DOI once minted] I’d be interested in feedback from anyone working on AI search, SEO, or multimodal retrieval — especially on blind spots we might have missed in visual/video indexing. Comments URL: https://news.ycombinator.com/item?id=44885245 Points: 1

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