AI Visibility Scorecard
evalrust.com · Other
At 2.12/10, evalrust is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, Backlinks and Domain Authority. That is fixable, and the signals below show where to start.
AI engines read this profile 3 times
Claude · Parallel
19
AI Naming Predictability
iRarely named · 19/100
Average 15
Top 58% of Other
See what's behind this score →2.12
-
Network Authority
iNot connected yet
0 relationships on record. Businesses average 3. Claim your page and Engagemii is your first.
See what's behind this score →0
0
from our crawl and measurement
evalrust is one of the businesses we track. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 2.12 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.
AI crawlers have read this profile 3 times in our tracking, including ClaudeBot (Anthropic) and ShapBot (Parallel).
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
-
Not yet measured.
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 read your site and name it in answers. At 2.12/10, evalrust is near-invisible to AI engines today. That is 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.
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 9, 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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