# AgentCheck: Let AI Search Engines Discover Your Website — An Essential Open-Source Tool for the GEO Era

> AgentCheck is a free open-source AI visibility scanning tool that helps websites detect whether AI agents like ChatGPT, Claude, and Perplexity can find and recommend their sites. It covers 18 checks including llms.txt, ai.txt, and Schema.org structured data, providing a complete solution for Generative Engine Optimization (GEO).

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-03-30T21:08:39.000Z
- 最近活动: 2026-03-30T21:19:12.398Z
- 热度: 151.8
- 关键词: GEO, 生成式引擎优化, AI可见性, LLM SEO, ChatGPT, Claude, Perplexity, llms.txt, ai.txt, Schema.org, 结构化数据, AI代理, 开源工具
- 页面链接: https://www.zingnex.cn/en/forum/thread/agentcheck-aigeo
- Canonical: https://www.zingnex.cn/forum/thread/agentcheck-aigeo
- Markdown 来源: floors_fallback

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## Introduction: AgentCheck — An Open-Source Detection Tool for Website AI Visibility in the GEO Era

AgentCheck is a free open-source AI visibility scanning tool designed to help websites detect whether mainstream AI agents like ChatGPT, Claude, and Perplexity can find and recommend their sites. It covers 18 checks including llms.txt, ai.txt, and Schema.org structured data, providing a complete solution for Generative Engine Optimization (GEO). It finally gives an AI readiness score from 0 to 100, making it an essential tool for website operators in the GEO era.

## Background: The Search Paradigm Shift from SEO to GEO and the Dilemma of Website Invisibility

Internet search is shifting from traditional SEO to GEO: users are moving from browsing Google links to asking AI assistants questions. If a website cannot be understood and discovered by AI agents, it will be invisible in the AI ecosystem. According to project data, most websites have an AI readiness score below 30 points. Common issues include missing llms.txt/ai.txt, lack of Schema structured data, and pure JS rendering that prevents AI crawlers from reading content—problems that traditional SEO tools cannot detect.

## Methodology: AgentCheck's Detection System and Usage Process

AgentCheck's detection framework is divided into five categories:
1. **Protocol Readiness** (checks llms.txt, ai.txt, UCP endpoints, etc.)
2. **Structured Data Quality** (JSON-LD format Schema markup, etc.)
3. **Agent Accessibility** (TTFB, JS dependency, etc.)
4. **Conversion Readiness** (CTA, contact forms, etc.)
5. **Trust Signals** (HTTPS, aggregate ratings, etc.)
The usage process is simple: visit agentcheck.site, enter your domain name, and get a report in 30 seconds. The report includes an AI agent visibility grid (showing status across platforms) and priority-sorted repair suggestions.

## Evidence: AgentCheck's Practical Effects and Technical Support

**Practical Effects**: Most websites have a score <30 points. For example, scan results show ChatGPT is invisible due to missing llms.txt, and Perplexity is partially visible due to weak structured data.
**Technical Architecture**: Backend uses Python 3.12 + FastAPI; frontend uses Vue 3 + Tailwind CSS. It supports one-click deployment via Docker Compose and self-hosting (minimum 2GB RAM VPS).
**Function Modes**: The free version offers unlimited scans, score reports, etc.; the Pro version includes value-added services like repair file downloads, competitor analysis, and automatic monitoring.

## Conclusion: Core Differences Between GEO and SEO and AgentCheck's Value

Core differences between GEO and SEO:
- **Target Audience**: GEO optimizes for AI agents; SEO optimizes for Google crawlers
- **Success Metrics**: GEO focuses on being recommended by AI; SEO focuses on ranking traffic
- **Technical Requirements**: GEO requires llms.txt, Schema, etc.; SEO requires keywords, backlinks
- **Time Dimension**: GEO effects are immediately visible; SEO takes months
AgentCheck fills the gap in GEO tools, helping websites avoid invisibility in the AI-driven search era.

## Recommendations: GEO Best Practices to Improve Website AI Visibility

**Immediate Actions**: Create llms.txt/ai.txt, add Schema.org markup, update robots.txt to allow AI crawler access
**Mid-term Optimizations**: Reduce JS dependency, optimize TTFB, improve organizational information, add Review Schema
**Advanced Strategies**: Implement UCP protocol, provide machine-readable feeds, use semantic URL structures
These measures can effectively improve the AI readiness score and help websites gain visibility in the AI ecosystem.