URL analysée
https://audiovisual.ec.europa.eu/en
Score AI-Ready
Échec
sur 100
Économie de tokens
Détail du score
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 n’utilise pas d’éléments <article> ou <main>. Ces conteneurs sémantiques aident les AI agents à identifier la zone de contenu principal et à ignorer la navigation, les barres latérales et les pieds de page.
Comment implémenter
Ajoutez un élément <main> autour du contenu principal de votre page, et utilisez <article> pour les blocs de contenu autonomes comme les billets de blog ou les descriptions de produits.
La structure de vos titres présente des problèmes (niveaux sautés ou plusieurs balises h1). Une hiérarchie propre aide les AI agents à comprendre l’organisation du contenu.
Comment implémenter
Assurez-vous d’avoir exactement un <h1> par page et que les titres suivent un ordre séquentiel : h1 > h2 > h3. Ne sautez pas de niveaux (par ex. de h1 directement à h3).
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.
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.
Votre page repose fortement sur les éléments <div>. Les éléments sémantiques comme <section>, <nav>, <header>, <footer> et <aside> fournissent une structure significative pour les AI agents.
Comment implémenter
Remplacez les conteneurs <div> génériques par les éléments sémantiques appropriés. Utilisez <section> pour les groupes thématiques, <nav> pour la navigation, <header>/<footer> pour les en-têtes et pieds de page ou de section.
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.
Audiovisual Service
Téléversez ce fichier sous /en.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
# audiovisual.ec.europa.eu ## Main - [Audiovisual Service](https://audiovisual.ec.europa.eu/en)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://audiovisual.ec.europa.eu/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
Missing <article> and <main> elements
No headings found
0 semantic elements, 2 divs (ratio: 0%)
No images found
Avg div depth: 0.5, max: 1
Efficacité du contenu
100% token reduction (HTML→Markdown)
Content ratio: 0.0% (0 content chars / 1713 HTML bytes)
0/27 elements with inline styles (0.0%)
HTML size: 2KB
Visibilité IA
No llms.txt found
No robots.txt found
No robots.txt — AI bots allowed by default
No sitemap found
Données structurées
No JSON-LD / Schema.org found
0/3 OG tags present
No meta description
No canonical URL
No lang attribute on <html>
Accessibilité
Content available without JavaScript
Page size: 2KB
Main content starts at 100% of HTML
{
"url": "https://audiovisual.ec.europa.eu/en",
"timestamp": 1771573481651,
"fetch": {
"mode": "simple",
"timeMs": 91,
"htmlSizeBytes": 1713,
"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": "Audiovisual Service",
"excerpt": "",
"byline": null,
"siteName": null,
"lang": null,
"contentLength": 0,
"metadata": {
"description": null,
"ogTitle": null,
"ogDescription": null,
"ogImage": null,
"ogType": null,
"canonical": null,
"lang": null,
"schemas": [],
"robotsMeta": null,
"author": null,
"generator": null,
"markdownAlternateHref": null
}
},
"markdown": "\n",
"fullPageMarkdown": "Audiovisual Service\n",
"markdownStats": {
"images": 0,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 0
},
"tokens": {
"htmlTokens": 509,
"markdownTokens": 1,
"reduction": 508,
"reductionPercent": 100
},
"score": {
"score": 39,
"grade": "F",
"dimensions": {
"semanticHtml": {
"score": 35,
"weight": 20,
"grade": "F",
"checks": {
"uses_article_or_main": {
"score": 0,
"weight": 20,
"details": "Missing <article> and <main> elements"
},
"proper_heading_hierarchy": {
"score": 0,
"weight": 25,
"details": "No headings found"
},
"semantic_elements": {
"score": 0,
"weight": 20,
"details": "0 semantic elements, 2 divs (ratio: 0%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"details": "No images found"
},
"low_div_nesting": {
"score": 100,
"weight": 20,
"details": "Avg div depth: 0.5, max: 1"
}
}
},
"contentEfficiency": {
"score": 70,
"weight": 25,
"grade": "C",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"details": "100% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 0,
"weight": 30,
"details": "Content ratio: 0.0% (0 content chars / 1713 HTML bytes)"
},
"minimal_inline_styles": {
"score": 100,
"weight": 15,
"details": "0/27 elements with inline styles (0.0%)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 15,
"details": "HTML size: 2KB"
}
}
},
"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": 0,
"weight": 15,
"grade": "F",
"checks": {
"has_schema_org": {
"score": 0,
"weight": 30,
"details": "No JSON-LD / Schema.org found"
},
"has_open_graph": {
"score": 0,
"weight": 25,
"details": "0/3 OG tags present"
},
"has_meta_description": {
"score": 0,
"weight": 20,
"details": "No meta description"
},
"has_canonical_url": {
"score": 0,
"weight": 15,
"details": "No canonical URL"
},
"has_lang_attribute": {
"score": 0,
"weight": 10,
"details": "No lang attribute on <html>"
}
}
},
"accessibility": {
"score": 70,
"weight": 15,
"grade": "C",
"checks": {
"content_without_js": {
"score": 100,
"weight": 40,
"details": "Content available without JavaScript"
},
"reasonable_page_size": {
"score": 100,
"weight": 30,
"details": "Page size: 2KB"
},
"fast_content_position": {
"score": 0,
"weight": 30,
"details": "Main content starts at 100% 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": "add_article_main",
"priority": "critical",
"category": "semanticHtml",
"titleKey": "rec.add_article_main.title",
"descriptionKey": "rec.add_article_main.description",
"howToKey": "rec.add_article_main.howto",
"effort": "quick-win",
"estimatedImpact": 8,
"checkScore": 0,
"checkDetails": "Missing <article> and <main> elements"
},
{
"id": "fix_heading_hierarchy",
"priority": "critical",
"category": "semanticHtml",
"titleKey": "rec.fix_heading_hierarchy.title",
"descriptionKey": "rec.fix_heading_hierarchy.description",
"howToKey": "rec.fix_heading_hierarchy.howto",
"effort": "quick-win",
"estimatedImpact": 6,
"checkScore": 0,
"checkDetails": "No headings 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: 0.0% (0 content chars / 1713 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": "add_semantic_elements",
"priority": "critical",
"category": "semanticHtml",
"titleKey": "rec.add_semantic_elements.title",
"descriptionKey": "rec.add_semantic_elements.description",
"howToKey": "rec.add_semantic_elements.howto",
"effort": "moderate",
"estimatedImpact": 5,
"checkScore": 0,
"checkDetails": "0 semantic elements, 2 divs (ratio: 0%)"
},
{
"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"
}
],
"llmsTxtPreview": "# audiovisual.ec.europa.eu\n\n## Main\n- [Audiovisual Service](https://audiovisual.ec.europa.eu/en)\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": "# audiovisual.ec.europa.eu\n\n## Main\n- [Audiovisual Service](https://audiovisual.ec.europa.eu/en)\n\n",
"filename": "/llms.txt"
},
{
"id": "fix_heading_hierarchy",
"title": "Fix heading hierarchy",
"description": "Your page has no <h1>. Every page needs exactly one <h1> as the main heading. Add it inside your <main> or <article>.",
"language": "html",
"code": "<h1>Audiovisual Service</h1>",
"filename": "<main> or <article>"
},
{
"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\": \"Audiovisual Service\",\n \"description\": \"Page description.\",\n \"url\": \"https://audiovisual.ec.europa.eu/en\",\n \"inLanguage\": \"en\"\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://audiovisual.ec.europa.eu/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://audiovisual.ec.europa.eu/en</loc>\n <lastmod>2026-02-20</lastmod>\n </url>\n</urlset>",
"filename": "/sitemap.xml"
},
{
"id": "add_article_main",
"title": "Wrap content in <main> and <article>",
"description": "Semantic HTML landmarks help AI agents identify the main content of your page.",
"language": "html",
"code": "<main>\n <article>\n <h1>Your Page Title</h1>\n <p>Your content here...</p>\n </article>\n</main>",
"filename": "<body>"
},
{
"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"
},
{
"id": "add_markdown_negotiation",
"title": "Support Markdown for Agents",
"description": "Implement one or more of the 4 Markdown for Agents mechanisms to let AI agents request content in markdown format.",
"language": "html",
"code": "<!-- 1. Content negotiation: respond to Accept: text/markdown -->\n<!-- In your server/framework, check the Accept header and return markdown -->\n<!-- with Content-Type: text/markdown -->\n\n<!-- 2. Serve .md URLs (e.g., /about.md alongside /about) -->\n<!-- Generate static .md files or handle .md routes in your app -->\n\n<!-- 3. Add <link> tag in your HTML <head>: -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">\n\n<!-- 4. Add Link HTTP header on HTML responses: -->\n<!-- Link: </page.md>; rel=\"alternate\"; type=\"text/markdown\" -->\n\n<!-- Best practice: include Vary: Accept and X-Markdown-Tokens headers -->\n<!-- on markdown responses -->",
"filename": "<head> + server config"
}
]
}
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.
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.
Vous êtes sur la liste ! Nous vous préviendrons lors du lancement.