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Oxford Applied and Theoretical Machine Learning Group
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. Oxford Applied and Theoretical Machine Learning Group just got measured.
4/10 means Oxford Applied and Theoretical Machine Learning Group is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
About Oxford Applied and Theoretical Machine Learning Group
The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).
Details
Industry: Technology
oatml.cs.ox.ac.ukAI Visibility Breakdown
1
Structured Data
5
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
6
Technical AEO
4
AI Discoverability
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AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Source & Attribution
Scored by Engagemii on May 28, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/oatml-cs-ox-ac-uk
Cite this score: Engagemii (2026). "AEO Score for Oxford Applied and Theoretical Machine Learning Group." Retrieved from https://engagemii.com/aeo/brands/oatml-cs-ox-ac-uk
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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