URL analysée

https://agentready.md/

Analyser une autre URL

Score AI-Ready

89 / B

Bon

sur 100

Économie de tokens

Tokens HTML 8285
Tokens Markdown 501
Économie 94%

Détail du score

HTML sémantique 100/100
Efficacité du contenu 78/100
Visibilité IA 82/100
Données structurées 100/100
Accessibilité 93/100

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.

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.

Tokens Markdown: 501
Analyze your site's AI-readiness in seconds. Get your score, optimized Markdown, and a step-by-step implementation guide.

Free · No signup required · 5 analyses/hour in beta

## How it works

Three steps to understand your AI-readiness

### Enter your URL

Paste any web page URL. We fetch it, extract content, and analyze the HTML structure.

### Get your score

Receive a detailed AI-readiness score across 5 dimensions with 21 individual checks.

### Implement & improve

Follow prioritized recommendations with copy-paste code snippets to improve your score.

## Five Dimensions of Scoring

We analyze every page across five weighted dimensions, each composed of multiple individual checks:

### Semantic HTML

Proper use of article, main, headings, semantic elements, and image alt texts

### Content Efficiency

Token reduction ratio, content-to-noise ratio, inline style usage, and page weight

### AI Discoverability

llms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers

### Structured Data

Schema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute

### Accessibility

Content availability without JavaScript, page size, and content position in HTML

## Real analysis examples

See how we score real websites. Click to enlarge.

## Why AI-readiness matters

AI agents are the new browsers. Prepare your content for the next wave of web traffic.

### AI agents consume content differently

Unlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.

### Discoverability drives traffic

Just like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.

### llms.txt is the new robots.txt

The llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.

### Structured data powers AI

Schema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.

## Coming soon: Full Domain Analysis

Crawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.

You're on the list! We'll notify you when it launches.
AgentReady.md — Is your website ready for AI agents?

# Is your website ready for AI agents?

Analyze your site's AI-readiness in seconds. Get your score, optimized Markdown, and a step-by-step implementation guide.

  Analyze Analyzing...

Free · No signup required · 5 analyses/hour in beta

## How it works

Three steps to understand your AI-readiness

1

### Enter your URL

Paste any web page URL. We fetch it, extract content, and analyze the HTML structure.

2

### Get your score

Receive a detailed AI-readiness score across 5 dimensions with 21 individual checks.

3

### Implement & improve

Follow prioritized recommendations with copy-paste code snippets to improve your score.

## Five Dimensions of Scoring

We analyze every page across five weighted dimensions, each composed of multiple individual checks:

### Semantic HTML

Proper use of article, main, headings, semantic elements, and image alt texts

### Content Efficiency

Token reduction ratio, content-to-noise ratio, inline style usage, and page weight

### AI Discoverability

llms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers

### Structured Data

Schema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute

### Accessibility

Content availability without JavaScript, page size, and content position in HTML

## Real analysis examples

See how we score real websites. Click to enlarge.

![AgentReady.md analysis of password.es — Score 76/100 Grade B](https://agentready.md/images/password-agentready.png)

password.es — 76 / B

![AgentReady.md analysis of mboxviewer.net — Score 83/100 Grade B](https://agentready.md/images/mboxviewer-agentready.png)

mboxviewer.net — 83 / B

![AgentReady.md analysis of openai.com — Score 50/100 Grade D](https://agentready.md/images/openai-agentready.png)

openai.com — 50 / D

![AgentReady.md analysis of claude.ai — Score 40/100 Grade D](https://agentready.md/images/claude-agentready.png)

claude.ai — 40 / D

## Why AI-readiness matters

AI agents are the new browsers. Prepare your content for the next wave of web traffic.

### AI agents consume content differently

Unlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.

### Discoverability drives traffic

Just like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.

### llms.txt is the new robots.txt

The llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.

### Structured data powers AI

Schema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.

## Coming soon: Full Domain Analysis

Crawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.

 Join Waitlist Sending...

You're on the list! We'll notify you when it launches.

Téléversez ce fichier sous /index.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.

Notre recommandation

Télécharger llms.txt
# AgentReady.md

> Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.

## Documentation
- [FAQ](https://agentready.md/faq)
- [llms.txt](https://agentready.md/llms.txt)
- [robots.txt](https://agentready.md/robots.txt)

## Main
- [AgentReady.md — Is your website ready for AI agents?](https://agentready.md/): Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations.…
- [About](https://agentready.md/about)
- [Free pricing](https://agentready.md/pricing)
- [Latest](https://agentready.md/latest)
- [Tools](https://agentready.md/tools)
- [Español](https://agentready.md/es)
- [Français](https://agentready.md/fr)
- [Deutsch](https://agentready.md/de)
- [Português](https://agentready.md/pt)
- [Italiano](https://agentready.md/it)
- [日本語](https://agentready.md/ja)

## Support
- [FAQ](https://agentready.md/faq)

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

Téléversez ce fichier vers https://agentready.md/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.

Ce site possède déjà un fichier llms.txt.

Format valide
# AgentReady.md

> Analyze your website's AI-readiness and generate optimized Markdown for AI agents.

AgentReady scores websites (0-100) across 5 dimensions: Semantic HTML, Content Efficiency, AI Discoverability, Structured Data, and Accessibility. It converts pages to clean Markdown, generates llms.txt files, and provides actionable recommendations with copy-paste code snippets. Free single-page analysis, no signup required.

## Documentation

- [Full documentation](https://agentready.md/index.md): Complete product information, features, and how it works
- [About](https://agentready.md/about.md): About the project, scoring dimensions, and why AI-readiness matters
- [Pricing](https://agentready.md/pricing.md): Free tier and upcoming Pro/Business plans
- [FAQ](https://agentready.md/faq.md): Frequently asked questions about AI-readiness, llms.txt, structured data, and scoring

## Main

- [Home](https://agentready.md/): AI-readiness analyzer tool — enter any URL to get your score
- [About](https://agentready.md/about): About the AgentReady.md project and how it works
- [Pricing](https://agentready.md/pricing): Plans and pricing for domain-wide analysis
- [FAQ](https://agentready.md/faq): Frequently asked questions about AI-readiness

## Tools

- [llms.txt Checker](https://agentready.md/tools/llms-txt-checker): Validate your llms.txt file against the llmstxt.org specification
- [llms.txt Generator](https://agentready.md/tools/llms-txt-generator): Create a well-formatted llms.txt file with a step-by-step wizard
- [robots.txt Generator for AI](https://agentready.md/tools/robots-txt-generator): Generate a robots.txt file optimized for AI bots with Content-Signal directives
- [Markdown Negotiation Tester](https://agentready.md/tools/markdown-tester): Test if a website supports Markdown for Agents across 4 mechanisms

## Coming Soon

- Full domain crawl and analysis
- llms.txt generation for entire sites
- Monitoring dashboard
- WordPress plugin
- Public REST API

HTML sémantique

Utilise les éléments article ou main (100/100)

Has both <article> and <main>

Hiérarchie de titres correcte (100/100)

Clean heading hierarchy

Utilise des éléments HTML sémantiques (100/100)

22 semantic elements, 34 divs (ratio: 39%)

Textes alternatifs descriptifs pour les images (100/100)

7/7 images with meaningful alt text

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

Avg div depth: 1.3, max: 4

Efficacité du contenu

Bon ratio de réduction de tokens (100/100)

94% token reduction (HTML→Markdown)

Bon ratio contenu/bruit (25/100)

Content ratio: 9.8% (2903 content chars / 29618 HTML bytes)

Styles en ligne minimaux (100/100)

0/245 elements with inline styles (0.0%)

Poids de page raisonnable (100/100)

HTML size: 29KB

Visibilité IA

Possède un fichier llms.txt (100/100)

llms.txt exists and is valid

Possède un fichier robots.txt (100/100)

robots.txt exists

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

All major AI bots allowed

Possède un sitemap.xml (100/100)

Sitemap found

Support Markdown for Agents (75/100) Application
&#10003; Accept: text/markdown &#10007; .md URL &#10003; <link> tag &#10003; Link header
A Content-Signal (robots.txt ou en-têtes HTTP) (40/100)
&#10007; robots.txt &#10003; HTTP header &#10003; Policy

Données structurées

Possède Schema.org / JSON-LD (100/100)

JSON-LD found: Organization, WebApplication

Possède des balises Open Graph (100/100)

All OG tags present

Possède une meta description (100/100)

Meta description: 145 chars

Possède une URL canonique (100/100)

Canonical URL present

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: 29KB

Le contenu apparaît tôt dans le HTML (75/100)

Main content starts at 35% of HTML

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  "url": "https://agentready.md/",
  "timestamp": 1771496910449,
  "fetch": {
    "mode": "simple",
    "timeMs": 59,
    "htmlSizeBytes": 29618,
    "supportsMarkdown": true,
    "markdownAgents": {
      "contentNegotiation": true,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": true,
        "url": "https://agentready.md/index.md"
      },
      "linkHeader": {
        "found": true,
        "url": "https://agentready.md/index.md"
      },
      "responseHeaders": {
        "contentSignal": "search=yes, ai-input=yes, ai-train=no",
        "xMarkdownTokens": "2158",
        "vary": "Accept"
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "application"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "AgentReady.md — Is your website ready for AI agents?",
    "excerpt": "Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.",
    "byline": null,
    "siteName": "AgentReady.md",
    "lang": "en",
    "contentLength": 2903,
    "metadata": {
      "description": "Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.",
      "ogTitle": "AgentReady.md — Is your website ready for AI agents?",
      "ogDescription": "Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.",
      "ogImage": "https://agentready.md/images/og-cover.svg",
      "ogType": "website",
      "canonical": "https://agentready.md/",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "Organization",
          "name": "AgentReady.md",
          "url": "https://agentready.md",
          "logo": "https://agentready.md/images/logo.svg",
          "description": "Analyze your website&#39;s AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required."
        },
        {
          "@context": "https://schema.org",
          "@type": "WebApplication",
          "name": "AgentReady.md",
          "description": "Analyze your website&#39;s AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.",
          "url": "https://agentready.md",
          "applicationCategory": "DeveloperApplication",
          "operatingSystem": "Web",
          "browserRequirements": "Requires JavaScript",
          "softwareVersion": "0.5.0",
          "author": {
            "@type": "Organization",
            "name": "AgentReady.md",
            "url": "https://agentready.md"
          },
          "offers": {
            "@type": "Offer",
            "price": "0",
            "priceCurrency": "EUR",
            "description": "Free single-page AI-readiness analysis"
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        }
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      "robotsMeta": null,
      "author": null,
      "generator": null,
      "markdownAlternateHref": "https://agentready.md/index.md"
    }
  },
  "markdown": "Analyze your site's AI-readiness in seconds. Get your score, optimized Markdown, and a step-by-step implementation guide.\n\nFree · No signup required · 5 analyses/hour in beta\n\n## How it works\n\nThree steps to understand your AI-readiness\n\n### Enter your URL\n\nPaste any web page URL. We fetch it, extract content, and analyze the HTML structure.\n\n### Get your score\n\nReceive a detailed AI-readiness score across 5 dimensions with 21 individual checks.\n\n### Implement & improve\n\nFollow prioritized recommendations with copy-paste code snippets to improve your score.\n\n## Five Dimensions of Scoring\n\nWe analyze every page across five weighted dimensions, each composed of multiple individual checks:\n\n### Semantic HTML\n\nProper use of article, main, headings, semantic elements, and image alt texts\n\n### Content Efficiency\n\nToken reduction ratio, content-to-noise ratio, inline style usage, and page weight\n\n### AI Discoverability\n\nllms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers\n\n### Structured Data\n\nSchema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute\n\n### Accessibility\n\nContent availability without JavaScript, page size, and content position in HTML\n\n## Real analysis examples\n\nSee how we score real websites. Click to enlarge.\n\n## Why AI-readiness matters\n\nAI agents are the new browsers. Prepare your content for the next wave of web traffic.\n\n### AI agents consume content differently\n\nUnlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.\n\n### Discoverability drives traffic\n\nJust like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.\n\n### llms.txt is the new robots.txt\n\nThe llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.\n\n### Structured data powers AI\n\nSchema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.\n\n## Coming soon: Full Domain Analysis\n\nCrawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.\n\nYou're on the list! We'll notify you when it launches.\n",
  "fullPageMarkdown": "AgentReady.md — Is your website ready for AI agents?\n\n# Is your website ready for AI agents?\n\nAnalyze your site's AI-readiness in seconds. Get your score, optimized Markdown, and a step-by-step implementation guide.\n\n  Analyze Analyzing...\n\nFree · No signup required · 5 analyses/hour in beta\n\n## How it works\n\nThree steps to understand your AI-readiness\n\n1\n\n### Enter your URL\n\nPaste any web page URL. We fetch it, extract content, and analyze the HTML structure.\n\n2\n\n### Get your score\n\nReceive a detailed AI-readiness score across 5 dimensions with 21 individual checks.\n\n3\n\n### Implement & improve\n\nFollow prioritized recommendations with copy-paste code snippets to improve your score.\n\n## Five Dimensions of Scoring\n\nWe analyze every page across five weighted dimensions, each composed of multiple individual checks:\n\n### Semantic HTML\n\nProper use of article, main, headings, semantic elements, and image alt texts\n\n### Content Efficiency\n\nToken reduction ratio, content-to-noise ratio, inline style usage, and page weight\n\n### AI Discoverability\n\nllms.txt, robots.txt, AI bot permissions, sitemap, markdown negotiation, and Content-Signal headers\n\n### Structured Data\n\nSchema.org/JSON-LD, Open Graph, meta description, canonical URL, and language attribute\n\n### Accessibility\n\nContent availability without JavaScript, page size, and content position in HTML\n\n## Real analysis examples\n\nSee how we score real websites. Click to enlarge.\n\n![AgentReady.md analysis of password.es — Score 76/100 Grade B](https://agentready.md/images/password-agentready.png)\n\npassword.es — 76 / B\n\n![AgentReady.md analysis of mboxviewer.net — Score 83/100 Grade B](https://agentready.md/images/mboxviewer-agentready.png)\n\nmboxviewer.net — 83 / B\n\n![AgentReady.md analysis of openai.com — Score 50/100 Grade D](https://agentready.md/images/openai-agentready.png)\n\nopenai.com — 50 / D\n\n![AgentReady.md analysis of claude.ai — Score 40/100 Grade D](https://agentready.md/images/claude-agentready.png)\n\nclaude.ai — 40 / D\n\n## Why AI-readiness matters\n\nAI agents are the new browsers. Prepare your content for the next wave of web traffic.\n\n### AI agents consume content differently\n\nUnlike browsers, AI agents prefer clean Markdown over complex HTML. A well-structured page uses 70-80% fewer tokens, saving cost for AI providers and improving response quality.\n\n### Discoverability drives traffic\n\nJust like SEO made your site findable on Google, AI-readiness makes it accessible to ChatGPT, Claude, Perplexity, and other AI tools that reference web content.\n\n### llms.txt is the new robots.txt\n\nThe llms.txt standard helps AI agents understand your site structure. Early adoption positions you ahead of competitors in AI-generated answers.\n\n### Structured data powers AI\n\nSchema.org markup, semantic HTML, and clean content structure help AI agents extract accurate, attribution-ready information from your pages.\n\n## Coming soon: Full Domain Analysis\n\nCrawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.\n\n Join Waitlist Sending...\n\nYou're on the list! We'll notify you when it launches.\n",
  "markdownStats": {
    "images": 0,
    "links": 0,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 17
  },
  "tokens": {
    "htmlTokens": 8285,
    "markdownTokens": 501,
    "reduction": 7784,
    "reductionPercent": 94
  },
  "score": {
    "score": 89,
    "grade": "B",
    "dimensions": {
      "semanticHtml": {
        "score": 100,
        "weight": 20,
        "grade": "A",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has both <article> and <main>"
          },
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 25,
            "details": "Clean heading hierarchy"
          },
          "semantic_elements": {
            "score": 100,
            "weight": 20,
            "details": "22 semantic elements, 34 divs (ratio: 39%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "7/7 images with meaningful alt text"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.3, max: 4"
          }
        }
      },
      "contentEfficiency": {
        "score": 78,
        "weight": 25,
        "grade": "B",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "94% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 25,
            "weight": 30,
            "details": "Content ratio: 9.8% (2903 content chars / 29618 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 15,
            "details": "0/245 elements with inline styles (0.0%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 29KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 82,
        "weight": 25,
        "grade": "B",
        "checks": {
          "has_llms_txt": {
            "score": 100,
            "weight": 20,
            "details": "llms.txt exists and is valid"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 10,
            "details": "robots.txt exists"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 15,
            "details": "All major AI bots allowed"
          },
          "has_sitemap": {
            "score": 100,
            "weight": 10,
            "details": "Sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 75,
            "weight": 25,
            "details": "Application level — Content negotiation, <link> tag, Link header"
          },
          "has_content_signals": {
            "score": 40,
            "weight": 20,
            "details": "HTTP header: search=yes, ai-input=yes, ai-train=no | Policy included"
          }
        }
      },
      "structuredData": {
        "score": 100,
        "weight": 15,
        "grade": "A",
        "checks": {
          "has_schema_org": {
            "score": 100,
            "weight": 30,
            "details": "JSON-LD found: Organization, WebApplication"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "details": "Meta description: 145 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "details": "Canonical URL present"
          },
          "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: 29KB"
          },
          "fast_content_position": {
            "score": 75,
            "weight": 30,
            "details": "Main content starts at 35% of HTML"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "improve_content_ratio",
      "priority": "high",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 25,
      "checkDetails": "Content ratio: 9.8% (2903 content chars / 29618 HTML bytes)"
    },
    {
      "id": "add_content_signals",
      "priority": "high",
      "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": 40,
      "checkDetails": "HTTP header: search=yes, ai-input=yes, ai-train=no | Policy included"
    }
  ],
  "llmsTxtPreview": "# AgentReady.md\n\n> Analyze your website&#39;s AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations. Free, no signup required.\n\n## Documentation\n- [FAQ](https://agentready.md/faq)\n- [llms.txt](https://agentready.md/llms.txt)\n- [robots.txt](https://agentready.md/robots.txt)\n\n## Main\n- [AgentReady.md — Is your website ready for AI agents?](https://agentready.md/): Analyze your website's AI-readiness score and get optimized Markdown, llms.txt preview, and actionable recommendations.…\n- [About](https://agentready.md/about)\n- [Free pricing](https://agentready.md/pricing)\n- [Latest](https://agentready.md/latest)\n- [Tools](https://agentready.md/tools)\n- [Español](https://agentready.md/es)\n- [Français](https://agentready.md/fr)\n- [Deutsch](https://agentready.md/de)\n- [Português](https://agentready.md/pt)\n- [Italiano](https://agentready.md/it)\n- [日本語](https://agentready.md/ja)\n\n## Support\n- [FAQ](https://agentready.md/faq)\n\n",
  "llmsTxtExisting": "# AgentReady.md\n\n> Analyze your website's AI-readiness and generate optimized Markdown for AI agents.\n\nAgentReady scores websites (0-100) across 5 dimensions: Semantic HTML, Content Efficiency, AI Discoverability, Structured Data, and Accessibility. It converts pages to clean Markdown, generates llms.txt files, and provides actionable recommendations with copy-paste code snippets. Free single-page analysis, no signup required.\n\n## Documentation\n\n- [Full documentation](https://agentready.md/index.md): Complete product information, features, and how it works\n- [About](https://agentready.md/about.md): About the project, scoring dimensions, and why AI-readiness matters\n- [Pricing](https://agentready.md/pricing.md): Free tier and upcoming Pro/Business plans\n- [FAQ](https://agentready.md/faq.md): Frequently asked questions about AI-readiness, llms.txt, structured data, and scoring\n\n## Main\n\n- [Home](https://agentready.md/): AI-readiness analyzer tool — enter any URL to get your score\n- [About](https://agentready.md/about): About the AgentReady.md project and how it works\n- [Pricing](https://agentready.md/pricing): Plans and pricing for domain-wide analysis\n- [FAQ](https://agentready.md/faq): Frequently asked questions about AI-readiness\n\n## Tools\n\n- [llms.txt Checker](https://agentready.md/tools/llms-txt-checker): Validate your llms.txt file against the llmstxt.org specification\n- [llms.txt Generator](https://agentready.md/tools/llms-txt-generator): Create a well-formatted llms.txt file with a step-by-step wizard\n- [robots.txt Generator for AI](https://agentready.md/tools/robots-txt-generator): Generate a robots.txt file optimized for AI bots with Content-Signal directives\n- [Markdown Negotiation Tester](https://agentready.md/tools/markdown-tester): Test if a website supports Markdown for Agents across 4 mechanisms\n\n## Coming Soon\n\n- Full domain crawl and analysis\n- llms.txt generation for entire sites\n- Monitoring dashboard\n- WordPress plugin\n- Public REST API",
  "snippets": [
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The recommended location is robots.txt, but you can also add it as an HTTP header.",
      "language": "txt",
      "code": "# robots.txt (recommended, canonical location):\nUser-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no\n\n# Nginx — add to server block (optional, for HTTP header):\n# add_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;\n\n# Apache — add to .htaccess (optional, for HTTP header):\n# Header set Content-Signal \"search=yes, ai-input=yes, ai-train=no\"",
      "filename": "/robots.txt"
    }
  ]
}

Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)

Ce JSON est à usage interne — contrairement au Markdown et au llms.txt, il n’est pas destiné à être téléversé sur votre site. Conservez-le comme référence pour suivre l’évolution de votre score, partagez-le avec votre équipe de développement ou intégrez-le dans votre pipeline CI/CD.

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