AI Visibility Scorecard
evalrust.com · Other
Borderline visible. AI bots can crawl evalrust, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
4
AEO Visibility
iNear-invisible · 3.6/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"evalrust (n.), the slow decay of an evaluation set as the system it measures moves on, where a passing score tells you less and less and nobody notices because the number stays green." That is how evalrust when your eval suite stops describing reality introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.6 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
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
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 3.6/10, evalrust is crawlable but under-signaled - fixable, and the signals above are where to start.
What to do about it?
Date every case. Not when it was added — when a human last agreed the expected output was correct. Review on a schedule, not on failure. Waiting for a red run means waiting for the one event rust prevents. Keep a small hostile set you rewrite from scratch every time the model or the prompt changes. If the old suite passes and the fresh one fails, you have found your rust. Track the age of the set as a metric.
Is this your brand?
The exact fixes for evalrust
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 September 28, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/evalrust
Cite this score: Engagemii (2026). "AEO Score for evalrust." Retrieved from https://engagemii.com/aeo/brands/evalrust
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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