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Apollo: An Exploration of Video Understanding in Large Multimodal Models

Apollo: An Exploration of Video Understanding in Large Multimodal Models

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AEO Score: 3/10

Crawled 1 times by AI engines

Claude

apollo-lmms.github.io

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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.

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Apollo: An Exploration of Video Understanding in Large Multimodal Models
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Category: Education

apollo-lmms.github.io

AI 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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Exact fixes: robots.txt, schema, llms.txt

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Picked for Apollo: An Exploration of Video Understanding in Large Multimodal Models: AEO & AI Search

Why your brand doesn't show up in ChatGPT answers (and how to fix it)

ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.

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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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