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URL analysée

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

Analyser une autre URL

Score AI-Ready

56 / D

Insuffisant

sur 100

Économie de tokens

Tokens HTML 17.926
Tokens Markdown 717
Économie 96%

Détail du score

HTML sémantique 91/100
Efficacité du contenu 55/100
Visibilité IA 15/100
Données structurées 45/100
Accessibilité 93/100

Protocoles émergents

0 sur 3 détectés

Endpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.

  • 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

Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.

Comment implémenter

Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.

Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.

Comment implémenter

Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.

Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.

Comment implémenter

Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.

{\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# "}] }'>

Votre site n’a pas de fichier robots.txt. Ce fichier contrôle la manière dont les bots (y compris les AI agents) accèdent à votre site.

Comment implémenter

Créez un fichier /robots.txt qui autorise l’accès à vos pages de contenu. Incluez une directive Sitemap pointant vers votre sitemap.xml.

Aucun sitemap trouvé. Un sitemap aide les AI agents à découvrir toutes les pages de votre site.

Comment implémenter

Créez un /sitemap.xml listant toutes vos pages publiques. La plupart des CMS peuvent le générer automatiquement.

Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.

Comment implémenter

Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.

{\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});"}] }'>

De nombreux éléments ont des attributs de style en ligne. Ils ajoutent du bruit pour les AI agents lors de l’extraction du contenu.

Comment implémenter

Déplacez tous les styles en ligne vers des classes CSS dans votre feuille de style. Utilisez des frameworks CSS utilitaires comme Tailwind si vous avez besoin de nombreux styles uniques.

Aucune donnée structurée Schema.org trouvée. JSON-LD aide les AI agents à extraire des informations factuelles et structurées de vos pages.

Comment implémenter

Ajoutez un bloc <script type="application/ld+json"> avec du balisage Schema.org. Utilisez les types appropriés : Article pour les billets de blog, Product pour les produits, Organization pour la page de votre entreprise.

Aucune URL canonique trouvée. Cela aide les AI agents à identifier la version préférée d’une page et à éviter le contenu dupliqué.

Comment implémenter

Ajoutez une balise <link rel="canonical" href="..."> pointant vers l’URL canonique de la page.

Tokens Markdown: 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?

Téléversez ce fichier sous /engines/lightpanda.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.

llms.txt généré pour cette page individuelle

Télécharger llms.txt
# 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)

Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)

Téléversez ce fichier vers https://agent-browser.dev/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.

HTML sémantique

Utilise les éléments article ou main (100/100)

Has <article>

Hiérarchie de titres correcte (100/100)

Clean heading hierarchy

Utilise des éléments HTML sémantiques (57/100)

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

Textes alternatifs descriptifs pour les images (100/100)

No images found

Faible profondeur d’imbrication des divs (100/100)

Avg div depth: 1.3, max: 3

Efficacité du contenu

Bon ratio de réduction de tokens (100/100)

96% token reduction (HTML→Markdown)

Bon ratio contenu/bruit (0/100)

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

Styles en ligne minimaux (0/100)

40/342 elements with inline styles (11.7%)

Poids de page raisonnable (100/100)

HTML size: 51KB

Visibilité IA

Possède un fichier llms.txt (0/100)

No llms.txt found

Possède un fichier robots.txt (0/100)

No robots.txt found

robots.txt autorise les bots IA (100/100)

No robots.txt — AI bots allowed by default

Possède un sitemap.xml (0/100)

No sitemap found

Support Markdown for Agents (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
A Content-Signal (robots.txt ou en-têtes HTTP) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Données structurées

Possède Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Possède des balises Open Graph (100/100)

All OG tags present

Possède une meta description (50/100)

Meta description too short: 36 chars

Possède une URL canonique (0/100)

No canonical URL

Possède un attribut lang (100/100)

lang="en"

Accessibilité

Contenu disponible sans JavaScript (100/100)

Content available without JavaScript

Taille de page raisonnable (100/100)

Page size: 51KB

Le contenu apparaît tôt dans le HTML (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\">"
        }
      ]
    }
  ]
}

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