Certificat AgentReady.md vérifié

Émis le 15 févr. 2026, 18:33 sig: 638445511bfcfb39 Vérifier →

URL analysée

https://nslookup.network/

Analyser une autre URL

Score AI-Ready

77 / B

Bon

sur 100

Économie de tokens

Tokens HTML 3410

Tokens Markdown 37

Économie 99%

Détail du score

HTML sémantique 100/100

Efficacité du contenu 70/100

Visibilité IA 50/100

Données structurées 85/100

Accessibilité 93/100

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.

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: 37

[

.Network

](https://nslookup.network/)

Language

## Minimal DNS and IP diagnostics suite.

Fast DNS over HTTPS queries with smart history and caching.

Domain or IP

NSlookup

[# NSlookup

.Network

](https://nslookup.network/)

Language 🇬🇧 EN English 🇬🇧 EN — English 🇪🇸 ES — Español 🇫🇷 FR — Français 🇩🇪 DE — Deutsch 🇮🇹 IT — Italiano 🇵🇹 PT — Português 🇰🇷 KO — 한국어 🇨🇳 ZH — 中文 🇯🇵 JA — 日本語

## Minimal DNS and IP diagnostics suite.

Fast DNS over HTTPS queries with smart history and caching.

Domain or IP

 Lookup

## Results

| Type | Name | TTL | Value |  |
| --- | --- | --- | --- | --- |

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.

llms.txt généré pour cette page individuelle

Télécharger llms.txt

# NSlookup.Network

> Fast DNS over HTTPS queries with smart history and caching.

## Main
- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.
- [About Us](https://nslookup.network/about/)
- [FAQ](https://nslookup.network/dns-faq/)
- [Last DNS search](https://nslookup.network/dns-history/)

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

Téléversez ce fichier vers https://nslookup.network/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 <main>

Hiérarchie de titres correcte (100/100)

Clean heading hierarchy

Utilise des éléments HTML sémantiques (100/100)

6 semantic elements, 10 divs (ratio: 38%)

Textes alternatifs descriptifs pour les images (100/100)

No images found

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

Avg div depth: 1.0, max: 2

Efficacité du contenu

Bon ratio de réduction de tokens (100/100)

99% token reduction (HTML→Markdown)

Bon ratio contenu/bruit (0/100)

Content ratio: 4.5% (679 content chars / 15155 HTML bytes)

Styles en ligne minimaux (100/100)

0/112 elements with inline styles (0.0%)

Poids de page raisonnable (100/100)

HTML size: 15KB

Visibilité IA

Possède un fichier llms.txt (0/100)

No llms.txt found

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 (0/100)

No markdown content negotiation

A Content-Signal (robots.txt ou en-têtes HTTP) (0/100)

No Content-Signal header

Données structurées

Possède Schema.org / JSON-LD (50/100)

JSON-LD found but basic types: WebSite

Possède des balises Open Graph (100/100)

All OG tags present

Possède une meta description (100/100)

Meta description: 59 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: 15KB

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

Main content starts at 24% of HTML

{
  "url": "https://nslookup.network/",
  "timestamp": 1771176827326,
  "fetch": {
    "mode": "simple",
    "timeMs": 94,
    "htmlSizeBytes": 15155,
    "supportsMarkdown": false,
    "statusCode": 200
  },
  "extraction": {
    "title": "NSlookup",
    "excerpt": "Fast DNS over HTTPS queries with smart history and caching.",
    "byline": null,
    "siteName": "NSlookup.Network",
    "lang": "en",
    "contentLength": 679,
    "metadata": {
      "description": "Fast DNS over HTTPS queries with smart history and caching.",
      "ogTitle": "NSlookup",
      "ogDescription": "Fast DNS over HTTPS queries with smart history and caching.",
      "ogImage": "https://nslookup.network/favicon.svg",
      "ogType": "website",
      "canonical": "https://nslookup.network",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "WebSite",
          "name": "NSlookup.Network",
          "url": "https://nslookup.network/",
          "potentialAction": {
            "@type": "SearchAction",
            "target": {
              "@type": "EntryPoint",
              "urlTemplate": "https://nslookup.network/dns-lookup/{query}"
            },
            "query-input": "required name=query"
          }
        }
      ],
      "robotsMeta": null,
      "author": null,
      "generator": null
    }
  },
  "markdown": "[\n\n.Network\n\n](https://nslookup.network/)\n\nLanguage\n\n## Minimal DNS and IP diagnostics suite.\n\nFast DNS over HTTPS queries with smart history and caching.\n\nDomain or IP\n",
  "fullPageMarkdown": "NSlookup\n\n[# NSlookup\n\n.Network\n\n](https://nslookup.network/)\n\nLanguage 🇬🇧 EN English 🇬🇧 EN — English 🇪🇸 ES — Español 🇫🇷 FR — Français 🇩🇪 DE — Deutsch 🇮🇹 IT — Italiano 🇵🇹 PT — Português 🇰🇷 KO — 한국어 🇨🇳 ZH — 中文 🇯🇵 JA — 日本語\n\n## Minimal DNS and IP diagnostics suite.\n\nFast DNS over HTTPS queries with smart history and caching.\n\nDomain or IP\n\n Lookup\n\n## Results\n\n| Type | Name | TTL | Value |  |\n| --- | --- | --- | --- | --- |\n",
  "markdownStats": {
    "images": 0,
    "links": 4,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 1
  },
  "tokens": {
    "htmlTokens": 3410,
    "markdownTokens": 37,
    "reduction": 3373,
    "reductionPercent": 99
  },
  "score": {
    "score": 77,
    "grade": "B",
    "dimensions": {
      "semanticHtml": {
        "score": 100,
        "weight": 20,
        "grade": "A",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has <main>"
          },
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 25,
            "details": "Clean heading hierarchy"
          },
          "semantic_elements": {
            "score": 100,
            "weight": 20,
            "details": "6 semantic elements, 10 divs (ratio: 38%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.0, max: 2"
          }
        }
      },
      "contentEfficiency": {
        "score": 70,
        "weight": 25,
        "grade": "C",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "99% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "details": "Content ratio: 4.5% (679 content chars / 15155 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 15,
            "details": "0/112 elements with inline styles (0.0%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 15KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 50,
        "weight": 25,
        "grade": "D",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 25,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 15,
            "details": "robots.txt exists"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 20,
            "details": "All major AI bots allowed"
          },
          "has_sitemap": {
            "score": 100,
            "weight": 15,
            "details": "Sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 15,
            "details": "No markdown content negotiation"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 10,
            "details": "No Content-Signal header"
          }
        }
      },
      "structuredData": {
        "score": 85,
        "weight": 15,
        "grade": "B",
        "checks": {
          "has_schema_org": {
            "score": 50,
            "weight": 30,
            "details": "JSON-LD found but basic types: WebSite"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "details": "Meta description: 59 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: 15KB"
          },
          "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: 4.5% (679 content chars / 15155 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": 4,
      "checkScore": 0,
      "checkDetails": "No markdown content negotiation"
    },
    {
      "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": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "No Content-Signal header"
    }
  ],
  "llmsTxtPreview": "# NSlookup.Network\n\n> Fast DNS over HTTPS queries with smart history and caching.\n\n## Main\n- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.\n- [About Us](https://nslookup.network/about/)\n- [FAQ](https://nslookup.network/dns-faq/)\n- [Last DNS search](https://nslookup.network/dns-history/)\n\n",
  "llmsTxtExisting": null,
  "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": "# NSlookup.Network\n\n> Fast DNS over HTTPS queries with smart history and caching.\n\n## Main\n- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.\n- [About Us](https://nslookup.network/about/)\n- [FAQ](https://nslookup.network/dns-faq/)\n- [Last DNS search](https://nslookup.network/dns-history/)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal HTTP header",
      "description": "The Content-Signal header tells AI agents about the nature of your content. Add it via your web server or CDN.",
      "language": "nginx",
      "code": "# Nginx — add to your server block:\nadd_header Content-Signal \"type=website; lang=en\" always;\n\n# Apache — add to .htaccess:\n# Header set Content-Signal \"type=website; lang=en\"",
      "filename": "nginx.conf or .htaccess"
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Accept: text/markdown",
      "description": "When a client sends Accept: text/markdown, respond with a Markdown version of the page. This is the gold standard for AI-readiness.",
      "language": "nginx",
      "code": "# Nginx — serve .md files when client requests Markdown:\n# Option 1: Serve pre-generated .md files\nmap $http_accept $markdown_suffix {\n  default \"\";\n  \"~text/markdown\" \".md\";\n}\n\n# Then in your location block:\ntry_files $uri$markdown_suffix $uri =404;\n\n# Option 2: Use your app framework to check the Accept header\n# and return Markdown content with Content-Type: text/markdown",
      "filename": "nginx.conf or application code"
    }
  ]
}

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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Script Recommandé

<script src="https://agentready.md/badge.js" data-id="b6a9fac3-3068-4c0c-a00a-f26f1b482913" data-domain="nslookup.network"></script>

Markdown

[![AgentReady.md score for nslookup.network](https://agentready.md/badge/nslookup.network.svg)](https://agentready.md/fr/r/b6a9fac3-3068-4c0c-a00a-f26f1b482913)

Bientôt : Analyse de domaine complet

Explorez l’ensemble de votre domaine, générez un llms.txt et surveillez votre score de préparation IA dans le temps. Rejoignez la liste d’attente pour être informé.

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