AI Visibility Scorecard
mesur.org · Education
Somewhat visible. AI bots can read Guide to MESUR: Metrics from Scholarly Usage of Resources, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 9 times
Meta AI · Claude · Apple Intelligence
#41,233 of 937,433 in Education for AI visibility
6
AEO Visibility
iVisible · 6.3/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"Learn how MESUR’s usage metrics can help students choose topics, write better papers, and publish smarter. Unlock research success with our complete guide!." That is how Guide to MESUR: Metrics from Scholarly Usage of Resources introduces itself. Its AI visibility score is 6.3 out of 10: the engines can find it, but they do not have much to hold on to.
The site gets some of it right: it has a readable heading structure. What holds it back is what is absent, including structured data describing the business, an llms.txt file, a sitemap.
Our monitoring has logged 2 AI crawler visits here: the engines come, the question is what they find.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.3/10, Guide to MESUR: Metrics from Scholarly Usage of Resources has a working base to build on - fixable, and the signals above are where to start.
What is MESUR and Why It Matters?
Let’s start with the basics. MESUR is a project that measures the impact of scholarly work using usage data. That’s a fancy term for tracking how people interact with research online—like how many times an article is downloaded, viewed, or shared. Back in 2007, researcher Johan Bollen introduced MESUR at a workshop at CERN (you know, the place with the particle accelerator!).
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mesur-org
Cite this score: Engagemii (2026). "AEO Score for Guide to MESUR: Metrics from Scholarly Usage of Resources." Retrieved from https://engagemii.com/aeo/brands/mesur-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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