認証済み AgentReady.md 証明書
発行日時 sig: 758a10a8231a209c 検証 →

分析済みURL

https://agent-browser.dev/engines/lightpanda

別のURLを分析

AI-Readyスコア

56 / D

不十分

/ 100

トークン削減量

HTMLトークン 17.926
Markdownトークン 717
削減率 96%

スコア内訳

セマンティックHTML 91/100
コンテンツ効率 55/100
AI発見可能性 15/100
構造化データ 45/100
アクセシビリティ 93/100

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。

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。

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# "}] }'>

サイトにrobots.txtファイルがありません。このファイルはボット(AIエージェントを含む)がサイトにアクセスする方法を制御します。

実装方法

コンテンツページへのアクセスを許可する/robots.txtファイルを作成してください。sitemap.xmlを指すSitemapディレクティブを含めてください。

サイトマップが見つかりません。サイトマップはAIエージェントがサイトのすべてのページを発見するのに役立ちます。

実装方法

すべての公開ページをリストした/sitemap.xmlを作成してください。ほとんどのCMSプラットフォームで自動生成できます。

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});"}] }'>

多くの要素にインラインスタイル属性があります。これらはAIエージェントがコンテンツを抽出する際のノイズになります。

実装方法

すべてのインラインスタイルをスタイルシートのCSSクラスに移動してください。多くの固有スタイルが必要な場合はTailwindなどのユーティリティCSSフレームワークを使用してください。

Schema.org構造化データが見つかりません。JSON-LDはAIエージェントがページから事実に基づいた構造化情報を抽出するのに役立ちます。

実装方法

Schema.orgマークアップを含む<script type="application/ld+json">ブロックを追加してください。適切なタイプを使用:ブログ投稿にはArticle、製品ページにはProduct、企業ページにはOrganization。

正規URLが見つかりません。これはAIエージェントがページの優先バージョンを特定し、重複コンテンツを回避するのに役立ちます。

実装方法

ページの正規URLを指す<link rel="canonical" href="...">タグを追加してください。

Markdownトークン: 717
[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.

agent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.

## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)

Install the Lightpanda binary before using it with agent-browser:

| Platform | Command |
| --- | --- |
| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |
| Linux (x86\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |

Move the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).

See the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.

## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)

Use the `--engine` flag to select Lightpanda:

```
agent-browser --engine lightpanda open example.com
agent-browser --engine lightpanda snapshot
agent-browser --engine lightpanda screenshot
```

Or set it as the default via environment variable:

```
export AGENT_BROWSER_ENGINE=lightpanda
agent-browser open example.com
```

Or in your `agent-browser.json` config:

```
{
  "engine": "lightpanda"
}
```

## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)

If the `lightpanda` binary is not in your `PATH`, use `--executable-path`:

```
agent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com
```

## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)

Lightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:

| Feature | Status |
| --- | --- |
| Extensions (`--extension`) | Not supported |
| Persistent profiles (`--profile`) | Not supported |
| Storage state (`--state`) | Not supported |
| File access (`--allow-file-access`) | Not supported |
| Headed mode (`--headed`) | Not applicable (headless only) |
| Screenshots | Depends on Lightpanda CDP support |

agent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.

## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)

Lightpanda is a good fit for:

-   Fast web scraping and data extraction
-   AI agent workflows where speed and low memory matter
-   CI/CD environments with constrained resources
-   High-volume parallel automation

Use Chrome when you need full browser fidelity, extensions, or persistent profiles.
Lightpanda | agent-browser

[](https://vercel.com/ "Made with love by Vercel")[agent-browser](https://agent-browser.dev/)

Lightpanda

Copy Page

# Lightpanda[#](https://agent-browser.dev/engines/lightpanda#lightpanda)

[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.

agent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.

## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)

Install the Lightpanda binary before using it with agent-browser:

| Platform | Command |
| --- | --- |
| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |
| Linux (x86\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |

Move the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).

See the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.

## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)

Use the `--engine` flag to select Lightpanda:

```
agent-browser --engine lightpanda open example.com
agent-browser --engine lightpanda snapshot
agent-browser --engine lightpanda screenshot
```

Or set it as the default via environment variable:

```
export AGENT_BROWSER_ENGINE=lightpanda
agent-browser open example.com
```

Or in your `agent-browser.json` config:

```
{
  "engine": "lightpanda"
}
```

## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)

If the `lightpanda` binary is not in your `PATH`, use `--executable-path`:

```
agent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com
```

## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)

Lightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:

| Feature | Status |
| --- | --- |
| Extensions (`--extension`) | Not supported |
| Persistent profiles (`--profile`) | Not supported |
| Storage state (`--state`) | Not supported |
| File access (`--allow-file-access`) | Not supported |
| Headed mode (`--headed`) | Not applicable (headless only) |
| Screenshots | Depends on Lightpanda CDP support |

agent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.

## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)

Lightpanda is a good fit for:

-   Fast web scraping and data extraction
-   AI agent workflows where speed and low memory matter
-   CI/CD environments with constrained resources
-   High-volume parallel automation

Use Chrome when you need full browser fidelity, extensions, or persistent profiles.

Ask AI⌘I

agent-browser Docs

What is agent-browser?How do I install it?What commands are available?How do snapshots work?How do I use CDP mode?

このファイルをサーバーの/engines/lightpanda.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
# agent-browser

> Browser automation CLI for AI agents

## Main
- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents
- [agent-browser](https://agent-browser.dev/)
- [Installation](https://agent-browser.dev/installation)
- [Quick Start](https://agent-browser.dev/quick-start)
- [Skills](https://agent-browser.dev/skills)
- [Commands](https://agent-browser.dev/commands)
- [Configuration](https://agent-browser.dev/configuration)
- [Selectors](https://agent-browser.dev/selectors)
- [Snapshots](https://agent-browser.dev/snapshots)

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://agent-browser.dev/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 <article>

適切な見出し階層 (100/100)

Clean heading hierarchy

セマンティックHTML要素を使用 (57/100)

6 semantic elements, 29 divs (ratio: 17%)

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: 1.3, max: 3

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: 4.4% (2315 content chars / 52724 HTML bytes)

最小限のインラインスタイル (0/100)

40/342 elements with inline styles (11.7%)

適切なページ重量 (100/100)

HTML size: 51KB

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 (0/100)

No robots.txt found

robots.txtがAIボットを許可 (100/100)

No robots.txt — AI bots allowed by default

sitemap.xmlあり (0/100)

No 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 (0/100)

No JSON-LD / Schema.org found

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 (50/100)

Meta description too short: 36 chars

正規URLあり (0/100)

No canonical URL

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: 51KB

HTML内でコンテンツが早い位置に配置 (75/100)

Main content starts at 24% of HTML

{
  "url": "https://agent-browser.dev/engines/lightpanda",
  "timestamp": 1777265121779,
  "fetch": {
    "mode": "simple",
    "timeMs": 257,
    "htmlSizeBytes": 52724,
    "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": "Lightpanda | agent-browser",
    "excerpt": "Browser automation CLI for AI agents",
    "byline": null,
    "siteName": "agent-browser",
    "lang": "en",
    "contentLength": 2315,
    "metadata": {
      "description": "Browser automation CLI for AI agents",
      "ogTitle": "Lightpanda | agent-browser",
      "ogDescription": "Browser automation CLI for AI agents",
      "ogImage": "https://agent-browser.dev/og/engines/lightpanda",
      "ogType": "website",
      "canonical": null,
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
      "generator": null,
      "markdownAlternateHref": null
    }
  },
  "markdown": "[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.\n\nagent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.\n\n## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)\n\nInstall the Lightpanda binary before using it with agent-browser:\n\n| Platform | Command |\n| --- | --- |\n| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |\n| Linux (x86\\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |\n\nMove the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).\n\nSee the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.\n\n## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)\n\nUse the `--engine` flag to select Lightpanda:\n\n```\nagent-browser --engine lightpanda open example.com\nagent-browser --engine lightpanda snapshot\nagent-browser --engine lightpanda screenshot\n```\n\nOr set it as the default via environment variable:\n\n```\nexport AGENT_BROWSER_ENGINE=lightpanda\nagent-browser open example.com\n```\n\nOr in your `agent-browser.json` config:\n\n```\n{\n  \"engine\": \"lightpanda\"\n}\n```\n\n## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)\n\nIf the `lightpanda` binary is not in your `PATH`, use `--executable-path`:\n\n```\nagent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com\n```\n\n## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)\n\nLightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:\n\n| Feature | Status |\n| --- | --- |\n| Extensions (`--extension`) | Not supported |\n| Persistent profiles (`--profile`) | Not supported |\n| Storage state (`--state`) | Not supported |\n| File access (`--allow-file-access`) | Not supported |\n| Headed mode (`--headed`) | Not applicable (headless only) |\n| Screenshots | Depends on Lightpanda CDP support |\n\nagent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.\n\n## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)\n\nLightpanda is a good fit for:\n\n-   Fast web scraping and data extraction\n-   AI agent workflows where speed and low memory matter\n-   CI/CD environments with constrained resources\n-   High-volume parallel automation\n\nUse Chrome when you need full browser fidelity, extensions, or persistent profiles.\n",
  "fullPageMarkdown": "Lightpanda | agent-browser\n\n[](https://vercel.com/ \"Made with love by Vercel\")[agent-browser](https://agent-browser.dev/)\n\nLightpanda\n\nCopy Page\n\n# Lightpanda[#](https://agent-browser.dev/engines/lightpanda#lightpanda)\n\n[Lightpanda](https://lightpanda.io/) is a headless browser engine built from scratch in Zig for machines. It starts instantly, uses 10x less memory than Chrome, and executes 10x faster.\n\nagent-browser manages Lightpanda the same way it manages Chrome -- spawning the process, connecting via CDP, and shutting it down. All downstream commands (snapshot, click, fill, screenshot, etc.) work through the same CDP protocol path.\n\n## Installation[#](https://agent-browser.dev/engines/lightpanda#installation)\n\nInstall the Lightpanda binary before using it with agent-browser:\n\n| Platform | Command |\n| --- | --- |\n| macOS (Apple Silicon) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-aarch64-macos && chmod a+x ./lightpanda` |\n| Linux (x86\\_64) | `curl -L -o lightpanda https://github.com/lightpanda-io/browser/releases/download/nightly/lightpanda-x86_64-linux && chmod a+x ./lightpanda` |\n\nMove the binary somewhere in your `PATH` (e.g. `/usr/local/bin/lightpanda` or `~/.local/bin/lightpanda`).\n\nSee the [Lightpanda installation docs](https://lightpanda.io/docs/open-source/installation) for more options.\n\n## Usage[#](https://agent-browser.dev/engines/lightpanda#usage)\n\nUse the `--engine` flag to select Lightpanda:\n\n```\nagent-browser --engine lightpanda open example.com\nagent-browser --engine lightpanda snapshot\nagent-browser --engine lightpanda screenshot\n```\n\nOr set it as the default via environment variable:\n\n```\nexport AGENT_BROWSER_ENGINE=lightpanda\nagent-browser open example.com\n```\n\nOr in your `agent-browser.json` config:\n\n```\n{\n  \"engine\": \"lightpanda\"\n}\n```\n\n## Custom Binary Path[#](https://agent-browser.dev/engines/lightpanda#custom-binary-path)\n\nIf the `lightpanda` binary is not in your `PATH`, use `--executable-path`:\n\n```\nagent-browser --engine lightpanda --executable-path /path/to/lightpanda open example.com\n```\n\n## Differences from Chrome[#](https://agent-browser.dev/engines/lightpanda#differences-from-chrome)\n\nLightpanda is a purpose-built headless engine. Some Chrome-specific features are not available:\n\n| Feature | Status |\n| --- | --- |\n| Extensions (`--extension`) | Not supported |\n| Persistent profiles (`--profile`) | Not supported |\n| Storage state (`--state`) | Not supported |\n| File access (`--allow-file-access`) | Not supported |\n| Headed mode (`--headed`) | Not applicable (headless only) |\n| Screenshots | Depends on Lightpanda CDP support |\n\nagent-browser returns a clear error if you combine `--engine lightpanda` with unsupported flags.\n\n## When to Use Lightpanda[#](https://agent-browser.dev/engines/lightpanda#when-to-use-lightpanda)\n\nLightpanda is a good fit for:\n\n-   Fast web scraping and data extraction\n-   AI agent workflows where speed and low memory matter\n-   CI/CD environments with constrained resources\n-   High-volume parallel automation\n\nUse Chrome when you need full browser fidelity, extensions, or persistent profiles.\n\nAsk AI⌘I\n\nagent-browser Docs\n\nWhat is agent-browser?How do I install it?What commands are available?How do snapshots work?How do I use CDP mode?\n",
  "markdownStats": {
    "images": 0,
    "links": 7,
    "tables": 2,
    "codeBlocks": 4,
    "headings": 5
  },
  "tokens": {
    "htmlTokens": 17926,
    "markdownTokens": 717,
    "reduction": 17209,
    "reductionPercent": 96
  },
  "score": {
    "score": 56,
    "grade": "D",
    "dimensions": {
      "semanticHtml": {
        "score": 91,
        "weight": 20,
        "grade": "A",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has <article>"
          },
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 25,
            "details": "Clean heading hierarchy"
          },
          "semantic_elements": {
            "score": 57,
            "weight": 20,
            "details": "6 semantic elements, 29 divs (ratio: 17%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.3, max: 3"
          }
        }
      },
      "contentEfficiency": {
        "score": 55,
        "weight": 25,
        "grade": "D",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "96% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "details": "Content ratio: 4.4% (2315 content chars / 52724 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 0,
            "weight": 15,
            "details": "40/342 elements with inline styles (11.7%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 51KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 15,
        "weight": 25,
        "grade": "F",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 20,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 0,
            "weight": 10,
            "details": "No robots.txt found"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 15,
            "details": "No robots.txt — AI bots allowed by default"
          },
          "has_sitemap": {
            "score": 0,
            "weight": 10,
            "details": "No 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": 45,
        "weight": 15,
        "grade": "D",
        "checks": {
          "has_schema_org": {
            "score": 0,
            "weight": 30,
            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 50,
            "weight": 20,
            "details": "Meta description too short: 36 chars"
          },
          "has_canonical_url": {
            "score": 0,
            "weight": 15,
            "details": "No canonical URL"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 93,
        "weight": 15,
        "grade": "A",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 51KB"
          },
          "fast_content_position": {
            "score": 75,
            "weight": 30,
            "details": "Main content starts at 24% 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": "improve_content_ratio",
      "priority": "critical",
      "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": 0,
      "checkDetails": "Content ratio: 4.4% (2315 content chars / 52724 HTML bytes)"
    },
    {
      "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_robots_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_robots_txt.title",
      "descriptionKey": "rec.add_robots_txt.description",
      "howToKey": "rec.add_robots_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No robots.txt found"
    },
    {
      "id": "add_sitemap",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_sitemap.title",
      "descriptionKey": "rec.add_sitemap.description",
      "howToKey": "rec.add_sitemap.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No sitemap found"
    },
    {
      "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": "remove_inline_styles",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "40/342 elements with inline styles (11.7%)"
    },
    {
      "id": "add_schema_org",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
    {
      "id": "add_canonical_url",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_canonical_url.title",
      "descriptionKey": "rec.add_canonical_url.description",
      "howToKey": "rec.add_canonical_url.howto",
      "effort": "quick-win",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "No canonical URL"
    }
  ],
  "llmsTxtPreview": "# agent-browser\n\n> Browser automation CLI for AI agents\n\n## Main\n- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents\n- [agent-browser](https://agent-browser.dev/)\n- [Installation](https://agent-browser.dev/installation)\n- [Quick Start](https://agent-browser.dev/quick-start)\n- [Skills](https://agent-browser.dev/skills)\n- [Commands](https://agent-browser.dev/commands)\n- [Configuration](https://agent-browser.dev/configuration)\n- [Selectors](https://agent-browser.dev/selectors)\n- [Snapshots](https://agent-browser.dev/snapshots)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://agent-browser.dev/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://agent-browser.dev/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://agent-browser.dev/.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": "# agent-browser\n\n> Browser automation CLI for AI agents\n\n## Main\n- [Lightpanda | agent-browser](https://agent-browser.dev/engines/lightpanda): Browser automation CLI for AI agents\n- [agent-browser](https://agent-browser.dev/)\n- [Installation](https://agent-browser.dev/installation)\n- [Quick Start](https://agent-browser.dev/quick-start)\n- [Skills](https://agent-browser.dev/skills)\n- [Commands](https://agent-browser.dev/commands)\n- [Configuration](https://agent-browser.dev/configuration)\n- [Selectors](https://agent-browser.dev/selectors)\n- [Snapshots](https://agent-browser.dev/snapshots)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_canonical_url",
      "title": "Add canonical URL",
      "description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
      "language": "html",
      "code": "<link rel=\"canonical\" href=\"https://agent-browser.dev/engines/lightpanda\">",
      "filename": "<head>"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"Lightpanda | agent-browser\",\n  \"description\": \"Browser automation CLI for AI agents\",\n  \"url\": \"https://agent-browser.dev/engines/lightpanda\",\n  \"inLanguage\": \"en\",\n  \"isPartOf\": {\n    \"@type\": \"WebSite\",\n    \"name\": \"agent-browser\"\n  }\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_robots_txt",
      "title": "Create /robots.txt",
      "description": "A robots.txt file tells crawlers (including AI bots) what they can and cannot access.",
      "language": "txt",
      "code": "User-agent: *\nAllow: /\n\nSitemap: https://agent-browser.dev/sitemap.xml",
      "filename": "/robots.txt"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://agent-browser.dev/engines/lightpanda</loc>\n    <lastmod>2026-04-27</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "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 agent-browser.dev
Script 推奨
<script src="https://agentready.md/badge.js" data-id="fb2d16a3-eb1e-4e0f-b04a-81bef0b95397" data-domain="agent-browser.dev"></script>
Markdown
[![AgentReady.md score for agent-browser.dev](https://agentready.md/badge/agent-browser.dev.svg)](https://agentready.md/ja/r/fb2d16a3-eb1e-4e0f-b04a-81bef0b95397)

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。