認証済み AgentReady.md 証明書
発行日時 sig: d9b5370f5f0ffa10 検証 →

分析済みURL

https://www.hajzy.online/

別のURLを分析

AI-Readyスコア

71 / C

普通

/ 100

トークン削減量

HTMLトークン 4088
Markdownトークン 191
削減率 95%

スコア内訳

セマンティックHTML 85/100
コンテンツ効率 78/100
AI発見可能性 35/100
構造化データ 85/100
アクセシビリティ 85/100

新興プロトコル

3件中0件検出

AIエージェントが探すwell-knownエンドポイント。検出されればエージェントが自動的にあなたのサービスを発見・接続できます。

  • 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

サイトにllms.txtファイルがありません。これはAIエージェントがサイト構造を理解するための新しい標準です。

実装方法

llmstxt.org仕様に従って/llms.txtファイルを作成してください。サイトの説明と主要ページへのリンクを含めてください。

サイトがMarkdown for Agentsに対応していません。このCloudflare標準により、AIエージェントがmarkdown形式でコンテンツをリクエストでき、トークン使用量を約80%削減できます。

実装方法

以下の1つ以上を実装してください:(1) Accept: text/markdownにmarkdownコンテンツで応答。(2) .md URL(例:/page.md)を提供。(3) <link rel="alternate" type="text/markdown">タグを追加。(4) markdown検出用のLink HTTPヘッダーを追加。

{\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# "}] }'>

Content-Signalディレクティブが見つかりません。これらはAIエージェントにコンテンツの使用方法(検索インデックス、AI入力、トレーニングデータ)を伝えます。推奨場所はrobots.txtです。

実装方法

robots.txtにContent-Signalを追加:User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no。markdown応答のHTTPヘッダーとしても追加できます。

{\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});"}] }'>

ページの実際のコンテンツとHTML全体の比率が低いです。ページ重量の多くがコンテンツではなくマークアップ、スクリプト、スタイルです。

実装方法

CSSを外部スタイルシートに移動し、インラインスタイルを削除し、JavaScriptを最小化し、HTMLがコンテンツ構造に集中するようにしてください。

見出し構造に問題があります(レベルの飛ばしや複数のh1タグ)。クリーンな階層はAIエージェントがコンテンツ構成を理解するのに役立ちます。

実装方法

ページごとに正確に1つの<h1>を持ち、見出しが順番に従うようにしてください:h1 > h2 > h3。レベルを飛ばさないでください(例:h1から直接h3)。

Markdownトークン: 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

このファイルをサーバーの/index.mdとしてアップロードし、AIエージェントがページのクリーンなバージョンにアクセスできるようにしましょう。Accept: text/markdownコンテンツネゴシエーションを設定して自動的に配信することもできます。

この単一ページ用に生成されたllms.txt

llms.txtをダウンロード
# 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)

完全なllms.txtにはドメイン全体の分析が必要です(近日公開)

このファイルをドメインのルートにhttps://www.hajzy.online/llms.txtとしてアップロードしてください。ChatGPT、Claude、PerplexityなどのAIエージェントはこのファイルを確認してサイト構造を理解します。

セマンティックHTML

articleまたはmain要素を使用 (100/100)

Has <main>

適切な見出し階層 (70/100)

2 heading level skip(s)

セマンティックHTML要素を使用 (61/100)

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

意味のある画像alt属性 (100/100)

No images found

低いdivネスト深度 (100/100)

Avg div depth: 1.9, max: 4

コンテンツ効率

良好なトークン削減率 (100/100)

95% token reduction (HTML→Markdown)

良好なコンテンツ対ノイズ比 (25/100)

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

最小限のインラインスタイル (100/100)

0/155 elements with inline styles (0.0%)

適切なページ重量 (100/100)

HTML size: 15KB

AI発見可能性

llms.txtファイルあり (0/100)

No llms.txt found

robots.txtファイルあり (100/100)

robots.txt exists

robots.txtがAIボットを許可 (100/100)

All major AI bots allowed

sitemap.xmlあり (100/100)

Sitemap found

Markdown for Agentsサポート (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Content-Signalあり(robots.txtまたはHTTPヘッダー) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

構造化データ

Schema.org / JSON-LDあり (50/100)

JSON-LD found but basic types: SoftwareApplication

Open Graphタグあり (100/100)

All OG tags present

メタディスクリプションあり (100/100)

Meta description: 183 chars

正規URLあり (100/100)

Canonical URL present

lang属性あり (100/100)

lang="en"

アクセシビリティ

JavaScript不要でコンテンツ利用可能 (100/100)

Content available without JavaScript

適切なページサイズ (100/100)

Page size: 15KB

HTML内でコンテンツが早い位置に配置 (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\">"
        }
      ]
    }
  ]
}

APIを使用してプログラムで取得できます(近日公開)

このJSONは内部使用向けです — MarkdownやllMs.txtファイルとは異なり、サイトにアップロードするものではありません。スコアの経時変化を追跡するための基準値として保存するか、開発チームと共有するか、CI/CDパイプラインに統合してください。

結果を共有

Twitter LinkedIn

バッジを埋め込む

このバッジをサイトに追加してください。AI対応スコアが変わると自動的に更新されます。

AgentReady.md score for www.hajzy.online
Script 推奨
<script src="https://agentready.md/badge.js" data-id="fb7178f5-9729-49c9-b3f4-21f7d8942efd" data-domain="www.hajzy.online"></script>
Markdown
[![AgentReady.md score for www.hajzy.online](https://agentready.md/badge/www.hajzy.online.svg)](https://agentready.md/ja/r/fb7178f5-9729-49c9-b3f4-21f7d8942efd)

近日公開: ドメイン全体分析

ドメイン全体をクロールし、llms.txtを生成し、AI対応スコアを経時的にモニタリング。ウェイトリストに登録して通知を受け取りましょう。

リストに登録されました!サービス開始時にお知らせします。