AI Visibility Scorecard
agenteval.dev · Technology
At 2.5/10, AgentEval 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, Entity Clarity and Backlinks. That is fixable, and the signals below show where to start.
AI engines read this profile 5 times
Claude
19
AI Naming Predictability
iRarely named · 19/100
Technology average 28
Top 49% of Technology
See what's behind this score →2.5
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
Technology average 17
See what's behind this score →12
from agenteval.dev
AgentEval catches the failures before your users do.
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
Weak
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
Fair
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
-
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 2.5/10, AgentEval is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
Why AgentEval?
Challenge How AgentEval Solves It "What tools did my agent call?" Full tool timeline with arguments, results, timing "Evaluations fail randomly!" stochastic evaluation - assert on pass rate, not single run "Which model should I use?" Model comparison with cost/quality recommendations "Is my agent compliant?" Behavioral policies - guardrails as code "Is my agent secure?" Red team evaluation - 264 OWASP LLM 2025.
Who Is AgentEval For?
🏢 .NET Teams Building AI Agents If you're building production AI agents in .NET and need to verify tool usage, enforce SLAs, handle non-determinism, or compare models—AgentEval is for you. 🚀 Microsoft Agent Framework (MAF) Developers Native integration with MAF concepts: AIAgent, IChatClient, automatic tool call tracking, and performance metrics with token usage and cost estimation.
Is this your brand?
The exact fixes for AgentEval
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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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 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/agenteval-dev
Cite this score: Engagemii (2026). "AEO Score for AgentEval." Retrieved from https://engagemii.com/aeo/brands/agenteval-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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