認証済み AgentReady.md 証明書
発行日時 sig: 17c82ac95296901c 検証 →

分析済みURL

https://problemcockpit.com/

計測: 1 時間前

別のURLを分析

AI-Readyスコア

良好

/ 100

トークン削減量

HTMLトークン 10.138
Markdownトークン 360
削減率 96%

スコア内訳

アクセシビリティ 100/100
AI発見可能性 60/100
構造化データ 100/100
セマンティックHTML 94/100
コンテンツ効率 70/100

新興プロトコル

6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 Protected Resource RFC 9728
    /.well-known/oauth-protected-resource
  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card SEP-1649 draft
    /.well-known/mcp/server-card.json
  • A2A Agent Card A2A v1.0
    /.well-known/agent-card.json
  • API Catalog RFC 9727
    /.well-known/api-catalog
  • Agent Skills index Discovery RFC v0.2.0 draft
    /.well-known/agent-skills/index.json

この数字は動きます。 モニタリングは開発中です。リストに登録すると公開時にお知らせします。

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。

計測結果 No Markdown for Agents support detected

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。

コーディングエージェントに貼り付けて修正させる

計測結果 Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

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。

コーディングエージェントに貼り付けて修正させる

計測結果 No llms.txt found

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。

コーディングエージェントに貼り付けて修正させる

計測結果 No Content-Signal found (robots.txt or HTTP headers)

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。

コーディングエージェントに貼り付けて修正させる
Markdownトークン: 360
## Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

3 problems solved free. Then $49/month.

## How it works

1

### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2

### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3

### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4

### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

Start with the problem that keeps coming back.
Problem.Cockpit — Stop Solving the Wrong Problem

[Skip to content](https://problemcockpit.com/#main-content)

[Problem.Cockpit

](https://problemcockpit.com/)

[Sign Up](https://problemcockpit.com/sign-up)

# Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)

3 problems solved free. Then $49/month.

## How it works

1### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

Next

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

[Start Free](https://problemcockpit.com/sign-up)

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

[Start a Team](https://problemcockpit.com/team)

Start with the problem that keeps coming back.

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
# Problem.Cockpit

> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

## Main
- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…
- [Gallery](https://problemcockpit.com/gallery)
- [Sign In](https://problemcockpit.com/sign-in)
- [Sign Up](https://problemcockpit.com/sign-up)

## Blog
- [Blog](https://problemcockpit.com/blog)

## Legal
- [Terms](https://problemcockpit.com/terms)
- [Privacy](https://problemcockpit.com/privacy)

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://problemcockpit.com/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。

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

HTML内でコンテンツが早い位置に配置 (100/100)

Main content starts at 18% of HTML

適切なページサイズ (100/100)

Page size: 35KB

AI発見可能性

robots.txtがAIボットを許可 (100/100)

All major AI search bots allowed

Markdown for Agentsサポート (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
sitemap.xmlあり (100/100)

Sitemap found

robots.txtファイルあり (100/100)

robots.txt exists

llms.txtファイルあり (0/100)

No llms.txt found

Content-Signalあり(robots.txtまたはHTTPヘッダー) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

構造化データ

Schema.org / JSON-LDあり (100/100)

JSON-LD found: Organization, WebSite

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: 159 chars

正規URLあり (100/100)

Canonical URL present

lang属性あり (100/100)

lang="en"

セマンティックHTML

適切な見出し階層 (100/100)

Clean heading hierarchy

articleまたはmain要素を使用 (100/100)

Has <main>

セマンティックHTML要素を使用 (68/100)

8 semantic elements, 31 divs (ratio: 21%)

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: 3.3, max: 6

コンテンツ効率

良好なトークン削減率 (100/100)

96% token reduction (HTML→Markdown)

良好なコンテンツ対ノイズ比 (0/100)

Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

適切なページ重量 (100/100)

HTML size: 35KB

最小限のインラインスタイル (100/100)

1/162 elements with inline styles (0.6%)

{
  "url": "https://problemcockpit.com/",
  "timestamp": 1792412868895,
  "fetch": {
    "mode": "simple",
    "timeMs": 412,
    "htmlSizeBytes": 35613,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
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      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
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        "present": false,
        "fields": [],
        "level": "none"
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    "lang": "en",
    "contentLength": 1416,
    "metadata": {
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      "ogTitle": "Problem.Cockpit — Stop Solving the Wrong Problem",
      "ogDescription": "Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.",
      "ogImage": "https://problemcockpit.com/opengraph-image?1bf0182397b45598",
      "ogType": "website",
      "canonical": "https://problemcockpit.com",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "Organization",
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          "@context": "https://schema.org",
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      "robotsMeta": null,
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  "fullPageMarkdown": "Problem.Cockpit — Stop Solving the Wrong Problem\n\n[Skip to content](https://problemcockpit.com/#main-content)\n\n[Problem.Cockpit\n\n](https://problemcockpit.com/)\n\n[Sign Up](https://problemcockpit.com/sign-up)\n\n# Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\nNext\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n-   \\--7-stage structured process, not open-ended chat\n-   \\--Surfaces your assumptions and strikes through what doesn't hold\n-   \\--Fork paths sorted from quick wins to structural change\n-   \\--Start even when you can't articulate the problem yet\n\n[Start Free](https://problemcockpit.com/sign-up)\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n-   \\--The same 7 stages, for everyone on the team\n-   \\--The whole team reads every session by default\n-   \\--Only the owner can change billing\n-   \\--Weeks later, see which decisions actually held up\n\n[Start a Team](https://problemcockpit.com/team)\n\nStart with the problem that keeps coming back.\n",
  "markdownStats": {
    "images": 0,
    "links": 0,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 8
  },
  "tokens": {
    "htmlTokens": 10138,
    "markdownTokens": 360,
    "reduction": 9778,
    "reductionPercent": 96
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  "score": {
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    "grade": "B",
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        "weight": 30,
        "grade": "A",
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            "score": 100,
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            "evidence": "proven",
            "details": "Content available without JavaScript"
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          "fast_content_position": {
            "score": 100,
            "weight": 25,
            "evidence": "plausible",
            "details": "Main content starts at 18% of HTML"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 20,
            "evidence": "plausible",
            "details": "Page size: 35KB"
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      "aiDiscoverability": {
        "score": 60,
        "weight": 25,
        "grade": "C",
        "checks": {
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 35,
            "evidence": "proven",
            "details": "All major AI search bots allowed"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 20,
            "evidence": "plausible",
            "details": "No Markdown for Agents support detected"
          },
          "has_sitemap": {
            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "Sitemap found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 10,
            "evidence": "plausible",
            "details": "robots.txt exists"
          },
          "has_llms_txt": {
            "score": 0,
            "weight": 10,
            "evidence": "speculative",
            "details": "No llms.txt found"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 10,
            "evidence": "speculative",
            "details": "No Content-Signal found (robots.txt or HTTP headers)",
            "mechanisms": {
              "robotsTxt": false,
              "httpHeader": false,
              "policy": false
            }
          }
        }
      },
      "structuredData": {
        "score": 100,
        "weight": 20,
        "grade": "A",
        "checks": {
          "has_schema_org": {
            "score": 100,
            "weight": 35,
            "evidence": "proven",
            "details": "JSON-LD found: Organization, WebSite"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 20,
            "evidence": "plausible",
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "evidence": "plausible",
            "details": "Meta description: 159 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "Canonical URL present"
          },
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            "weight": 10,
            "evidence": "plausible",
            "details": "lang=\"en\""
          }
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        "weight": 15,
        "grade": "A",
        "checks": {
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          "uses_article_or_main": {
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            "details": "Has <main>"
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          "semantic_elements": {
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            "evidence": "plausible",
            "details": "8 semantic elements, 31 divs (ratio: 21%)"
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          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 10,
            "evidence": "speculative",
            "details": "Avg div depth: 3.3, max: 6"
          }
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      },
      "contentEfficiency": {
        "score": 70,
        "weight": 10,
        "grade": "C",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "evidence": "speculative",
            "details": "96% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "evidence": "speculative",
            "details": "Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 20,
            "evidence": "speculative",
            "details": "HTML size: 35KB"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 10,
            "evidence": "speculative",
            "details": "1/162 elements with inline styles (0.6%)"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
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    },
    {
      "id": "improve_content_ratio",
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      "category": "contentEfficiency",
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      "id": "add_llms_txt",
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      "category": "aiDiscoverability",
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      "id": "add_content_signals",
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      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
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      "url": "https://problemcockpit.com/.well-known/mcp/server-card.json",
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      "exists": false,
      "url": "https://problemcockpit.com/.well-known/api-catalog"
    },
    "agentSkills": {
      "exists": false,
      "url": "https://problemcockpit.com/.well-known/agent-skills/index.json",
      "draft": true
    },
    "count": 0,
    "total": 6
  },
  "botAccess": {
    "probed": true,
    "bot": "OAI-SearchBot",
    "controlStatus": 200,
    "botStatus": 200,
    "discriminates": false,
    "refusedAsBot": false,
    "edge": "Vercel",
    "verifiable": false,
    "detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
  },
  "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": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
      "filename": "/llms.txt"
    },
    {
      "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

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または AI に改善方法を聞く

セカンドオピニオンもどうぞ

Cloudflare も無料のスキャナーを公開していますが、問いが違います。あちらは、エージェントが呼び出すためにサイトが公開しているもの(MCP server card、Agent Skills、API カタログ、DNS レコード)を採点します。当社は、エージェントがコンテンツに到達し、読み、理解できるかを採点します。片方が高く、もう片方が低いサイトもあります。数字が食い違うのは当然です。別々の問いへの答えであり、どちらも知る価値があります。

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バッジを埋め込む

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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。

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