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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. TVL: A Touch, Vision, and Language Dataset for Multimodal Alignment just got measured.
3/10 means TVL: A Touch, Vision, and Language Dataset for Multimodal Alignment is currently invisible to AI search. Most AI assistants will not cite your brand when asked about your category. Claiming and applying the fixes below is the fastest way to change that.
Dataset for Multimodal Alignment Max (Letian) Fu1 Gaurav Datta*1 Raven Huang*1 Will Panitch*1 Jaimyn Drake*1 Joseph Ortiz2 Mustafa Mukadam2 Mike Lambeta2 Roberto Calandra3,4 Ken Goldberg1 1UC Berkeley 2Meta AI Research 3TU Dresden 4The Centre for Tactile Internet with Human-in-the-Loop (CeTI) Paper Code Dataset Models Citation TL;DR: Multi-modal alignment made easy using GPT-4V pseudolabels.
Category: Technology
tactile-vlm.github.io1
Structured Data
3
Content Structure
4
Entity Clarity
3
E-E-A-T Signals
5
Technical AEO
3
AI Discoverability
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on May 25, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/tactile-vlm-github-io
Cite this score: Engagemii (2026). "AEO Score for TVL: A Touch, Vision, and Language Dataset for Multimodal Alignment." Retrieved from https://engagemii.com/aeo/brands/tactile-vlm-github-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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