AI Visibility Scorecard
AgentEval
agenteval.dev · Technology
Borderline visible. AI bots can crawl AgentEval, 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 4 times
Claude
#1,807,789 of 2,707,329 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.1/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
12
AI Adoption
iBasic · 12/100
About AgentEval
from agenteval.dev
AgentEval catches the failures before your users do.
The 6 signals AI reads
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.
Off-page authority
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.
What this score means
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 4.1/10, AgentEval is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
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
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for AgentEval.
Source & Attribution
Scored by Engagemii on August 1, 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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