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Analyzed URL

https://www.hajzy.online/

Analyze another URL

AI-Ready Score

71 / C

Fair

out of 100

Token Savings

HTML tokens 4088
Markdown tokens 191
Savings 95%

Score Breakdown

Semantic HTML 85/100
Content Efficiency 78/100
AI Discoverability 35/100
Structured Data 85/100
Accessibility 85/100

Emerging protocols

0 of 3 detected

Well-known endpoints AI agents look for. Detected here means an agent can discover and connect to your service automatically.

  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card Anthropic
    /.well-known/mcp.json
  • A2A Agent Card Google
    /.well-known/agent.json

Your site doesn't have an llms.txt file. This is the emerging standard for helping AI agents understand your site structure.

How to implement

Create an /llms.txt file following the llmstxt.org specification. Include a site description and links to your key pages.

Your site doesn't support Markdown for Agents. This Cloudflare standard lets AI agents request content in markdown format, reducing token usage by ~80%.

How to implement

Implement one or more: (1) Respond to Accept: text/markdown with markdown content. (2) Serve .md URLs (e.g., /page.md). (3) Add <link rel="alternate" type="text/markdown"> tags. (4) Add Link HTTP headers for markdown discovery.

{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"},{"id":"fastify","label":"Fastify","language":"javascript","filename":"server.js","code":"// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"},{"id":"nextjs","label":"Next.js","language":"typescript","filename":"app/page/route.ts","code":"// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"},{"id":"wordpress","label":"WordPress","language":"php","filename":"functions.php","code":"post_content));\n exit;\n});"},{"id":"static","label":"Hugo / Jekyll / Astro","language":"txt","filename":"static/page.md","code":"# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in :\n# "}] }'>

No Content-Signal directives found. These tell AI agents how they may use your content (search indexing, AI input, training data). The recommended location is robots.txt.

How to implement

Add Content-Signal to your robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. You can also add it as an HTTP header on markdown responses.

{\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});"}] }'>

Your page has a low ratio of actual content to total HTML. Much of the page weight is markup, scripts, or styles rather than content.

How to implement

Move CSS to external stylesheets, remove inline styles, minimize JavaScript, and ensure the HTML focuses on content structure.

Your heading structure has issues (skipped levels or multiple h1 tags). A clean hierarchy helps AI agents understand content organization.

How to implement

Ensure you have exactly one <h1> per page, and headings follow sequential order: h1 > h2 > h3. Don't skip levels (e.g., h1 directly to h3).

Markdown tokens: 191
#1 Clinic SaaS in MENA

## Hajzy: Run Your Clinic with
Intelligent Automation

Hajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.

#### AI Assistant

Automatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.

#### WhatsApp Native

Reduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.

#### Bank-Grade Security

Built on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.

## Native Arabic & English

Hajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.

-   Right-to-Left (RTL) optimized UI
-   Localized AI Medical prompts
-   Bilingual invoice generation

App Screenshot / Dashboard Mockup
Hajzy: Home - Modern Clinic Management System

#1 Clinic SaaS in MENA# Hajzy: Run Your Clinic with
Intelligent Automation

Hajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.

[Start Free Trial](https://www.hajzy.online/Home/RequestDemo) [Explore Features](https://www.hajzy.online/Home/Features)

#### AI Assistant

Automatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.

#### WhatsApp Native

Reduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.

#### Bank-Grade Security

Built on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.

## Native Arabic & English

Hajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.

-   Right-to-Left (RTL) optimized UI
-   Localized AI Medical prompts
-   Bilingual invoice generation

App Screenshot / Dashboard Mockup

Upload this file as /index.md on your server so AI agents can access a clean version of your page. You can also configure Accept: text/markdown content negotiation to serve it automatically.

Generated llms.txt for this single page

Download llms.txt
# hajzy.online

> Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.

## Documentation
- [FAQ](https://www.hajzy.online/Home/FAQ)

## Main
- [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder…
- [Features](https://www.hajzy.online/Home/Features)
- [Pricing](https://www.hajzy.online/Home/Pricing)
- [About Us](https://www.hajzy.online/Home/About)
- [Book Demo](https://www.hajzy.online/Home/RequestDemo)

## Support
- [FAQ](https://www.hajzy.online/Home/FAQ)
- [Contact](https://www.hajzy.online/Home/Contact)

Full llms.txt requires domain-wide analysis (coming soon)

Upload this file to https://www.hajzy.online/llms.txt at the root of your domain. AI agents like ChatGPT, Claude, and Perplexity check this file to understand your site structure.

Semantic HTML

Uses article or main element (100/100)

Has <main>

Proper heading hierarchy (70/100)

2 heading level skip(s)

Uses semantic HTML elements (61/100)

7 semantic elements, 31 divs (ratio: 18%)

Meaningful image alt texts (100/100)

No images found

Low div nesting depth (100/100)

Avg div depth: 1.9, max: 4

Content Efficiency

Good token reduction ratio (100/100)

95% token reduction (HTML→Markdown)

Good content-to-noise ratio (25/100)

Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)

Minimal inline styles (100/100)

0/155 elements with inline styles (0.0%)

Reasonable page weight (100/100)

HTML size: 15KB

AI Discoverability

Has llms.txt file (0/100)

No llms.txt found

Has robots.txt file (100/100)

robots.txt exists

Robots.txt allows AI bots (100/100)

All major AI bots allowed

Has sitemap.xml (100/100)

Sitemap found

Markdown for Agents support (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Has Content-Signal (robots.txt or HTTP headers) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Structured Data

Has Schema.org / JSON-LD (50/100)

JSON-LD found but basic types: SoftwareApplication

Has Open Graph tags (100/100)

All OG tags present

Has meta description (100/100)

Meta description: 183 chars

Has canonical URL (100/100)

Canonical URL present

Has lang attribute (100/100)

lang="en"

Accessibility

Content available without JavaScript (100/100)

Content available without JavaScript

Reasonable page size (100/100)

Page size: 15KB

Content appears early in HTML (50/100)

Main content starts at 45% of HTML

{
  "url": "https://www.hajzy.online/",
  "timestamp": 1777741953331,
  "fetch": {
    "mode": "simple",
    "timeMs": 252,
    "htmlSizeBytes": 15583,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "Home - Hajzy.online",
    "excerpt": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
    "byline": "Hajzy.online",
    "siteName": null,
    "lang": "en",
    "contentLength": 1478,
    "metadata": {
      "description": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
      "ogTitle": "Home - Hajzy.online",
      "ogDescription": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
      "ogImage": "https://hajzy.online/img/og-image.png",
      "ogType": "website",
      "canonical": "https://hajzy.online/",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "SoftwareApplication",
          "name": "Hajzy.online",
          "url": "https://hajzy.online",
          "applicationCategory": "HealthApplication",
          "operatingSystem": "Web",
          "description": "A cloud-native clinic management SaaS for scheduling, EMR, and billing across the MENA region.",
          "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "USD"
          },
          "contactPoint": {
            "@type": "ContactPoint",
            "telephone": "+962771551881",
            "contactType": "customer support",
            "areaServed": [
              "JO",
              "SA",
              "AE",
              "KW",
              "BH",
              "QA",
              "EG"
            ],
            "availableLanguage": [
              "Arabic",
              "English"
            ]
          },
          "address": {
            "@type": "PostalAddress",
            "addressLocality": "Amman",
            "addressCountry": "JO"
          }
        }
      ],
      "robotsMeta": "index, follow",
      "author": "Hajzy.online",
      "generator": null,
      "markdownAlternateHref": null
    }
  },
  "markdown": "#1 Clinic SaaS in MENA\n\n## Hajzy: Run Your Clinic with\nIntelligent Automation\n\nHajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.\n\n#### AI Assistant\n\nAutomatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.\n\n#### WhatsApp Native\n\nReduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.\n\n#### Bank-Grade Security\n\nBuilt on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.\n\n## Native Arabic & English\n\nHajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.\n\n-   Right-to-Left (RTL) optimized UI\n-   Localized AI Medical prompts\n-   Bilingual invoice generation\n\nApp Screenshot / Dashboard Mockup\n",
  "fullPageMarkdown": "Hajzy: Home - Modern Clinic Management System\n\n#1 Clinic SaaS in MENA# Hajzy: Run Your Clinic with\nIntelligent Automation\n\nHajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.\n\n[Start Free Trial](https://www.hajzy.online/Home/RequestDemo) [Explore Features](https://www.hajzy.online/Home/Features)\n\n#### AI Assistant\n\nAutomatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.\n\n#### WhatsApp Native\n\nReduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.\n\n#### Bank-Grade Security\n\nBuilt on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.\n\n## Native Arabic & English\n\nHajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.\n\n-   Right-to-Left (RTL) optimized UI\n-   Localized AI Medical prompts\n-   Bilingual invoice generation\n\nApp Screenshot / Dashboard Mockup\n",
  "markdownStats": {
    "images": 0,
    "links": 0,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 5
  },
  "tokens": {
    "htmlTokens": 4088,
    "markdownTokens": 191,
    "reduction": 3897,
    "reductionPercent": 95
  },
  "score": {
    "score": 71,
    "grade": "C",
    "dimensions": {
      "semanticHtml": {
        "score": 85,
        "weight": 20,
        "grade": "B",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has <main>"
          },
          "proper_heading_hierarchy": {
            "score": 70,
            "weight": 25,
            "details": "2 heading level skip(s)"
          },
          "semantic_elements": {
            "score": 61,
            "weight": 20,
            "details": "7 semantic elements, 31 divs (ratio: 18%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.9, max: 4"
          }
        }
      },
      "contentEfficiency": {
        "score": 78,
        "weight": 25,
        "grade": "B",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "95% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 25,
            "weight": 30,
            "details": "Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 15,
            "details": "0/155 elements with inline styles (0.0%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 15KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 35,
        "weight": 25,
        "grade": "F",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 20,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 10,
            "details": "robots.txt exists"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 15,
            "details": "All major AI bots allowed"
          },
          "has_sitemap": {
            "score": 100,
            "weight": 10,
            "details": "Sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 25,
            "details": "No Markdown for Agents support detected"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 20,
            "details": "No Content-Signal found (robots.txt or HTTP headers)"
          }
        }
      },
      "structuredData": {
        "score": 85,
        "weight": 15,
        "grade": "B",
        "checks": {
          "has_schema_org": {
            "score": 50,
            "weight": 30,
            "details": "JSON-LD found but basic types: SoftwareApplication"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "details": "Meta description: 183 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "details": "Canonical URL present"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 85,
        "weight": 15,
        "grade": "B",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 15KB"
          },
          "fast_content_position": {
            "score": 50,
            "weight": 30,
            "details": "Main content starts at 45% of HTML"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "add_llms_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_llms_txt.title",
      "descriptionKey": "rec.add_llms_txt.description",
      "howToKey": "rec.add_llms_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 10,
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_markdown_negotiation.title",
      "descriptionKey": "rec.add_markdown_negotiation.description",
      "howToKey": "rec.add_markdown_negotiation.howto",
      "effort": "significant",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No Markdown for Agents support detected"
    },
    {
      "id": "add_content_signals",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    },
    {
      "id": "improve_content_ratio",
      "priority": "high",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 25,
      "checkDetails": "Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)"
    },
    {
      "id": "fix_heading_hierarchy",
      "priority": "medium",
      "category": "semanticHtml",
      "titleKey": "rec.fix_heading_hierarchy.title",
      "descriptionKey": "rec.fix_heading_hierarchy.description",
      "howToKey": "rec.fix_heading_hierarchy.howto",
      "effort": "quick-win",
      "estimatedImpact": 6,
      "checkScore": 70,
      "checkDetails": "2 heading level skip(s)"
    }
  ],
  "llmsTxtPreview": "# hajzy.online\n\n> Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.\n\n## Documentation\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n\n## Main\n- [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder…\n- [Features](https://www.hajzy.online/Home/Features)\n- [Pricing](https://www.hajzy.online/Home/Pricing)\n- [About Us](https://www.hajzy.online/Home/About)\n- [Book Demo](https://www.hajzy.online/Home/RequestDemo)\n\n## Support\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n- [Contact](https://www.hajzy.online/Home/Contact)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://www.hajzy.online/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://www.hajzy.online/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://www.hajzy.online/.well-known/agent.json"
    },
    "count": 0
  },
  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# hajzy.online\n\n> Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.\n\n## Documentation\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n\n## Main\n- [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder…\n- [Features](https://www.hajzy.online/Home/Features)\n- [Pricing](https://www.hajzy.online/Home/Pricing)\n- [About Us](https://www.hajzy.online/Home/About)\n- [Book Demo](https://www.hajzy.online/Home/RequestDemo)\n\n## Support\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n- [Contact](https://www.hajzy.online/Home/Contact)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "fix_heading_hierarchy",
      "title": "Fix heading hierarchy",
      "description": "Your page has 1 <h1> elements. Keep only one. Demote the rest to <h2>.",
      "language": "html",
      "code": "<!-- Keep only one <h1> per page -->\n<h1>Home - Hajzy.online</h1>",
      "filename": "<main> or <article>"
    },
    {
      "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});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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AgentReady.md score for www.hajzy.online
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