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Apollo: An Exploration of Video Understanding in Large Multimodal Models
What this score means
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. Apollo: An Exploration of Video Understanding in Large Multimodal Models just got measured.
3/10 means Apollo: An Exploration of Video Understanding in Large Multimodal Models 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.
About Apollo: An Exploration of Video Understanding in Large Multimodal Models
Video Understanding in Large Multimodal Models Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, and Xide Xia 1Meta GenAI 2Stanford University We investigate the mechanisms that drive video understanding in large multimodal models and provide actionable insights for the community.
Key Topics
Details
Category: Technology
apollo-lmms.github.ioAI Visibility Breakdown
1
Structured Data
4
Content Structure
5
Entity Clarity
2
E-E-A-T Signals
5
Technical AEO
2
AI Discoverability
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Source & Attribution
Scored by Engagemii on June 4, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/apollo-lmms-github-io
Cite this score: Engagemii (2026). "AEO Score for Apollo: An Exploration of Video Understanding in Large Multimodal Models." Retrieved from https://engagemii.com/aeo/brands/apollo-lmms-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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