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.