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AI Visibility Scorecard
agentfield.ai · Technology
Somewhat visible. AI bots can read AgentField, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Apple Intelligence · Claude · Meta AI
#533,735 of 2,641,343 in Technology for AI visibility
5.4
/10
AEO Score
from our crawl and measurement
AgentField describes itself simply: "The AI Backend, open-source infrastructure for production AI agent systems. Cryptographic identity, tamper-proof audit trails, and runtime policy enforcement for autonomous agents." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.4 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (Organization, WebSite, SoftwareApplication), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including Applebot (Siri) and ClaudeBot (Anthropic).
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
9
Clear headings and answer-style content.
Entity Clarity
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
3
Experience, Expertise, Authority, Trust markers.
Technical AEO
7
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Authority
3
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
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 5.4/10, AgentField has a working base to build on - fixable, and the signals above are where to start.
What is AgentField?
AgentField is the AI Backend — open-source infrastructure for production AI agent systems. It provides cryptographic identity, tamper-proof audit trails, and runtime policy enforcement for autonomous agents. Think of it as Kubernetes + Okta for AI agents.
How is AgentField different from LangChain or CrewAI?
LangChain and CrewAI focus on how agents think (reasoning logic). AgentField focuses on how agents run in production — identity, policy enforcement, audit trails, service discovery, and orchestration. They solve different problems and can be used together.
What programming languages does AgentField support?
AgentField provides official SDKs in Python (pip install agentfield), Go (go get github.com/Agent-Field/agentfield/sdk/go), and TypeScript (npm install @agentfield/sdk).
Is AgentField open source?
Yes. AgentField is fully open source under the Apache License 2.0. The source code is available on GitHub at github.com/agent-field/agentfield.
What is an AI Backend?
An AI Backend is the infrastructure layer that sits between your existing backend services and AI agents. It handles agent identity, policy enforcement, audit trails, service discovery, and orchestration — everything needed to run AI agents in production at scale.
Is this your brand?
The exact fixes for AgentField
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
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 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/agentfield-ai
Cite this score: Engagemii (2026). "AEO Score for AgentField." Retrieved from https://engagemii.com/aeo/brands/agentfield-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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