AI Visibility Scorecard
teleonomeproject.com · Food & Beverage
Borderline visible. AI bots can crawl The Teleonome Project, 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 1 times
Claude
#1,008,969 of 1,393,867 in Food & Beverage for AI visibility
4
AEO Visibility
iNear-invisible · 3.7/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
The Teleonome Project describes itself simply: "An independent scientific research and education initiative exploring animal welfare from an evolutionary perspective, beginning with the question of what an animal is...." When AI engines look at it, they find little to work with. It scores 3.7 out of 10.
Under the hood there is a sitemap and a readable heading structure and substantial page content, but the score is capped by what is missing: structured data describing the business, an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
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
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
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 3.7/10, The Teleonome Project is crawlable but under-signaled - fixable, and the signals above are where to start.
What sets the repertoire in motion?
Behaviour does not begin without motivation. In mammals, Jaak Panksepp’s work identified seven primary affective systems: SEEKING, FEAR, RAGE, LUST, CARE, PANIC/GRIEF and PLAY.These systems are not the repertoire itself.
What is this horse attempting to regulate?
A horse repeatedly lifts a hind leg towards its abdomen and swishes its tail while tied — new to the place, not yet secure in the herd, and held where it cannot return to the others.The movement alone cannot tell us why. But context lets us form and test hypotheses: here, plausibly, an unsuccessful attempt to restore proximity to the herd after the horse has learned the restraint prevents escape.
What is animal welfare?
Give a horse a carrot and it will happily eat it. Give it a carrot every hour, in a dark stable it never leaves, and every carrot may still provide a genuinely positive experience. Yet almost everyone senses that something is still wrong.That small unease is the problem of animal welfare in miniature.Positive experiences matter, but they cannot define welfare by themselves.
Is this your brand?
The exact fixes for The Teleonome Project
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/teleonomeproject
Cite this score: Engagemii (2026). "AEO Score for The Teleonome Project." Retrieved from https://engagemii.com/aeo/brands/teleonomeproject
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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