https://agentready.md/

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    "title": "AgentReady.md — Is your website ready for AI agents?",
    "excerpt": "Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.",
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  "markdown": "Check robots.txt, llms.txt, Markdown for Agents, Content-Signal, Schema.org and 20+ more signals in 10 seconds. Free score + copy-paste fixes.\n\nFree · No signup required · 5,000+ sites analyzed\n\nWhat we check\n\n## 25+ AI-readiness signals across 6 categories\n\n## Five Dimensions of Scoring\n\nWe analyze every page across five weighted dimensions, each composed of multiple individual checks:\n\n### Semantic HTML\n\nProper use of article, main, headings, semantic elements, and image alt texts\n\n### Content Efficiency\n\nToken reduction ratio, content-to-noise ratio, inline style usage, and page weight\n\n### AI Discoverability\n\nllms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers\n\n### Structured Data\n\nSchema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute\n\n### Accessibility\n\nContent availability without JavaScript, page size, and content position in HTML\n\n## Real analysis examples\n\nSee how we score real websites. Click to enlarge.\n\n## Why AI-readiness matters\n\nAI agents are the new browsers. Prepare your content for the next wave of web traffic.\n\n### AI agents consume content differently\n\nUnlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.\n\n### Discoverability drives traffic\n\nJust like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.\n\n### llms.txt is the new robots.txt\n\nThe llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.\n\n### Structured data powers AI\n\nSchema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.\n\n## How it works\n\nThree steps to understand your AI-readiness\n\n### Enter your URL\n\nPaste any web page URL. We fetch it, extract content, and analyze the HTML structure.\n\n### Get your score\n\nReceive a detailed AI-readiness score across 5 dimensions with 21 individual checks.\n\n### Implement & improve\n\nFollow prioritized recommendations with copy-paste code snippets to improve your score.\n\n## Coming soon: Full Domain Analysis\n\nCrawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.\n\n✓ You're on the list! We'll notify you when it launches.\n",
  "fullPageMarkdown": "AgentReady.md — Is your website ready for AI agents?\n\n# Is your website ready for AI agents?\n\nCheck robots.txt, llms.txt, Markdown for Agents, Content-Signal, Schema.org and 20+ more signals in 10 seconds. Free score + copy-paste fixes.\n\n  Analyze Analyzing...\n\nFree · No signup required · 5,000+ sites analyzed\n\nWhat we check\n\n## 25+ AI-readiness signals across 6 categories\n\n[Discoverability](https://agentready.md/#dimensions) [Markdown](https://agentready.md/#dimensions) [AI Bots](https://agentready.md/#dimensions) [Protocols](https://agentready.md/#dimensions) [Schema](https://agentready.md/#dimensions) [Auth](https://agentready.md/#dimensions)\n\n## Five Dimensions of Scoring\n\nWe analyze every page across five weighted dimensions, each composed of multiple individual checks:\n\n### Semantic HTML\n\nProper use of article, main, headings, semantic elements, and image alt texts\n\n### Content Efficiency\n\nToken reduction ratio, content-to-noise ratio, inline style usage, and page weight\n\n### AI Discoverability\n\nllms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers\n\n### Structured Data\n\nSchema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute\n\n### Accessibility\n\nContent availability without JavaScript, page size, and content position in HTML\n\n## Real analysis examples\n\nSee how we score real websites. Click to enlarge.\n\n![AgentReady.md analysis of password.es — Score 76/100 Grade B](https://agentready.md/images/password-agentready.png)\n\npassword.es — 76 / B\n\n![AgentReady.md analysis of mboxviewer.net — Score 83/100 Grade B](https://agentready.md/images/mboxviewer-agentready.png)\n\nmboxviewer.net — 83 / B\n\n![AgentReady.md analysis of openai.com — Score 50/100 Grade D](https://agentready.md/images/openai-agentready.png)\n\nopenai.com — 50 / D\n\n![AgentReady.md analysis of claude.ai — Score 40/100 Grade D](https://agentready.md/images/claude-agentready.png)\n\nclaude.ai — 40 / D\n\n## Why AI-readiness matters\n\nAI agents are the new browsers. Prepare your content for the next wave of web traffic.\n\n### AI agents consume content differently\n\nUnlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.\n\n### Discoverability drives traffic\n\nJust like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.\n\n### llms.txt is the new robots.txt\n\nThe llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.\n\n### Structured data powers AI\n\nSchema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.\n\n## How it works\n\nThree steps to understand your AI-readiness\n\n1\n\n### Enter your URL\n\nPaste any web page URL. We fetch it, extract content, and analyze the HTML structure.\n\n2\n\n### Get your score\n\nReceive a detailed AI-readiness score across 5 dimensions with 21 individual checks.\n\n3\n\n### Implement & improve\n\nFollow prioritized recommendations with copy-paste code snippets to improve your score.\n\n## Coming soon: Full Domain Analysis\n\nCrawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.\n\n Join Waitlist Sending...\n\n✓ You're on the list! We'll notify you when it launches.\n",
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        "grade": "A",
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  "llmsTxtPreview": "# AgentReady.md\n\n> Analyze your website&#39;s AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.\n\n## Documentation\n- [FAQ](https://agentready.md/faq)\n- [llms.txt](https://agentready.md/llms.txt)\n- [robots.txt](https://agentready.md/robots.txt)\n\n## Main\n- [AgentReady.md — Is your website ready for AI agents?](https://agentready.md/): Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations.…\n- [About](https://agentready.md/about)\n- [Free pricing](https://agentready.md/pricing)\n- [Latest](https://agentready.md/latest)\n- [Leaderboard](https://agentready.md/leaderboard)\n- [llms.txt Checker](https://agentready.md/tools/llms-txt-checker)\n- [robots.txt Checker for AI](https://agentready.md/tools/robots-txt-checker)\n- [AI Crawlers Compatibility Checker](https://agentready.md/tools/ai-crawlers-checker)\n- [Emerging Protocols Checker](https://agentready.md/tools/protocols-checker)\n- [AI-Ready Checklist](https://agentready.md/tools/ai-readiness-checklist)\n- [Markdown Negotiation Tester](https://agentready.md/tools/markdown-tester)\n\n## Support\n- [FAQ](https://agentready.md/faq)\n\n",
  "llmsTxtExisting": "# AgentReady.md\n\n> Analyze your website's AI-readiness and generate optimized Markdown for AI agents.\n\nAgentReady scores websites (0-100) across 5 dimensions: Semantic HTML, Content Efficiency, AI Discoverability, Structured Data, and Accessibility. It converts pages to clean Markdown, generates llms.txt files, and provides actionable recommendations with copy-paste code snippets. Free single-page analysis, no signup required.\n\n## Documentation\n\n- [Full documentation](https://agentready.md/index.md): Complete product information, features, and how it works\n- [About](https://agentready.md/about.md): About the project, scoring dimensions, and why AI-readiness matters\n- [Pricing](https://agentready.md/pricing.md): Free tier and upcoming Pro/Business plans\n- [FAQ](https://agentready.md/faq.md): Frequently asked questions about AI-readiness, llms.txt, structured data, and scoring\n\n## Main\n\n- [Home](https://agentready.md/): AI-readiness analyzer tool — enter any URL to get your score\n- [About](https://agentready.md/about): About the AgentReady.md project and how it works\n- [Pricing](https://agentready.md/pricing): Plans and pricing for domain-wide analysis\n- [FAQ](https://agentready.md/faq): Frequently asked questions about AI-readiness\n\n## Tools\n\n- [llms.txt Checker](https://agentready.md/tools/llms-txt-checker): Validate your llms.txt file against the llmstxt.org specification\n- [llms.txt Generator](https://agentready.md/tools/llms-txt-generator): Create a well-formatted llms.txt file with a step-by-step wizard\n- [robots.txt Generator for AI](https://agentready.md/tools/robots-txt-generator): Generate a robots.txt file optimized for AI bots with Content-Signal directives\n- [robots.txt Checker for AI](https://agentready.md/tools/robots-txt-checker): Analyze a robots.txt file focused on AI bot accessibility, Content-Signal directives, and policies\n- [Schema.org Validator for AI](https://agentready.md/tools/schema-validator): Validate JSON-LD structured data for AI-agent usefulness with type coverage and property completeness\n- [Markdown Negotiation Tester](https://agentready.md/tools/markdown-tester): Test if a website supports Markdown for Agents across 4 mechanisms\n\n- [AI Meta Tags Generator](https://agentready.md/tools/meta-tags-generator): Generate an optimized HTML head block with meta tags, Open Graph, JSON-LD, and AI-specific elements\n- [AI Crawlers Compatibility Checker](https://agentready.md/tools/ai-crawlers-checker): Check if AI bots can access your website by analyzing robots.txt, X-Robots-Tag headers, and meta robots tags\n- [Content-Signal Generator](https://agentready.md/tools/content-signal-generator): Generate Content-Signal directives for robots.txt, HTTP headers, meta tags, Nginx, and Apache\n- [AI-Ready Checklist](https://agentready.md/tools/ai-readiness-checklist): Quick pass/fail checklist to verify if your website is ready for AI agents across 18 checks in 5 categories\n\n## Coming Soon\n\n- Full domain crawl and analysis\n- llms.txt generation for entire sites\n- Monitoring dashboard\n- WordPress plugin\n- Public REST API",
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://agentready.md/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://agentready.md/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://agentready.md/.well-known/agent.json"
    },
    "count": 0
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  "snippets": [
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    }
  ]
}

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