AI Visibility Scorecard
ewenharrison.com · Technology
Borderline visible. AI bots can crawl ewenharrison.com, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 3 times
Meta AI · Claude
#1,919,681 of 2,705,353 in Technology for AI visibility
4
AEO Visibility
iNear-invisible · 3.9/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
DataSurg Science, Surgery, Data. is a business whose own site puts it this way: "During analysis, the treatment variable coded [1,2] was recoded in error to [1,0]." When AI engines look at it, they find little to work with. It scores 3.9 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
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
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
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 3.9/10, ewenharrison.com is crawlable but under-signaled - fixable, and the signals above are where to start.
Miscoding in survival::colon dataset?
When doing this just today, we noticed something strange in our example dataset, survival::colon. The variable node4 should be a binary recode of nodes greater than 4. But as can be seen, something is not right! We’re interested in any explanations those working with this dataset might have.
What is not included?
It doesn’t yet include our other common models, such as coxph which I may add in. It doesn’t do lmer or glmer either. bootMer works well mixed-effects models which take a bit more care and thought, e.g. how are random effects to be handled in the simulations. So I don’t have immediate plans to add that in, better to do directly.
Is this your brand?
The exact fixes for ewenharrison.com
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on September 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/ewenharrison
Cite this score: Engagemii (2026). "AEO Score for ewenharrison.com." Retrieved from https://engagemii.com/aeo/brands/ewenharrison
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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