Reserved for QMUL

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QMUL

QMUL

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AEO Score: 3/10

Monitoring for AI engine activity

In the Engagemii AEO index

qmul-tinyface.github.io

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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. QMUL just got measured.

3/10 means QMUL 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 QMUL

Face Recognition in Native Low-resolution Imagery Zhiyi Cheng Xiatian Zhu Shaogang Gong Computer Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London Home Description We create a large scale face recognition benchmark, named TinyFace, to facilitate the investigation of natively LRFR at large scales (large gallery population sizes) in deep learning.

Key Topics

TinyFace: Face Recognition in Native Low-resolution Imagery

Details

Category: Technology

qmul-tinyface.github.io

AI Visibility Breakdown

1

Structured Data

6

Content Structure

4

Entity Clarity

2

E-E-A-T Signals

5

Technical AEO

2

AI Discoverability

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Your full 6-category score breakdown

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

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AI bot crawls from ChatGPT, Claude, Perplexity, Gemini

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Picked for QMUL: Tech & Electronics

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Source & Attribution

Scored by Engagemii on June 9, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/qmul-tinyface-github-io

Cite this score: Engagemii (2026). "AEO Score for QMUL." Retrieved from https://engagemii.com/aeo/brands/qmul-tinyface-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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