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What is AgentReady?

AgentReady is a free AI readiness scanner designed to help website owners optimise their sites for discovery and compatibility with AI agents, LLMs, and search systems. The tool analyse any website across eight key factors including llms.txt and ai.txt file presence, schema markup implementation, MCP (Model Context Protocol) support, bot accessibility, and other AI-compatibility metrics. It delivers a thorough readiness score within 60 seconds, along with actionable recommendations for improvement and industry benchmarks for comparison. This is particularly valuable as AI agents increasingly crawl and cite web content, AgentReady helps ensure your website is properly configured to be discovered by ChatGPT, Perplexity, Google AI, and similar AI-powered systems. The tool also offers a free public API, enabling developers to integrate AI agent compatibility scoring into their own applications and workflows.

Key Features

AI readiness scoring across 8 factors

Evaluates llms.txt, ai.txt, schema markup, MCP protocol support, bot accessibility, and additional compatibility metrics

60-second quick scan

Delivers instant compatibility assessment without requiring manual configuration or setup

Actionable recommendations

Provides specific, prioritise improvements to enhance AI agent discoverability

Industry benchmarks

Compare your website's AI readiness against competitors and industry standards

Public API

Free API access enables developers to integrate compatibility scoring into third-party applications

Multi-agent compatibility

Shows how ChatGPT, Perplexity, Google AI, and other AI systems can discover and cite your content

Pros & Cons

Advantages

  • Completely free with no paywall or freemium restrictions
  • Quick assessment in 60 seconds makes it accessible for busy website owners
  • Public API enables integration and automation for development teams
  • Addresses emerging AI agent optimization needs ahead of mainstream awareness
  • Clear, benchmarked recommendations help prioritise which improvements to implement first

Limitations

  • As an emerging category, value depends on how widely AI agents actually adopt these standards in the future
  • Limited to website analysis only, doesn't assess content quality or relevance for AI systems
  • May require technical knowledge to implement some recommendations (schema markup, MCP protocol)

Use Cases

SEO and marketing teams optimising websites for discovery by AI-powered search and content tools

Website owners ensuring their content is properly accessible to ChatGPT, Perplexity, and similar AI systems

Developers building AI agent integrations who need to validate third-party website compatibility

Content platforms and publishers preparing for AI-driven content discovery and attribution

Technical teams implementing metadata standards (llms.txt, ai.txt, schema markup) with clear improvement guidance