Analyzed URL

https://audiovisual.ec.europa.eu/en

Analyze another URL

AI-Ready Score

39 / F

Failing

out of 100

Token Savings

HTML tokens 509
Markdown tokens 1
Savings 100%

Score Breakdown

Semantic HTML 35/100
Content Efficiency 70/100
AI Discoverability 15/100
Structured Data 0/100
Accessibility 70/100

Your site doesn't have an llms.txt file. This is the emerging standard for helping AI agents understand your site structure.

How to implement

Create an /llms.txt file following the llmstxt.org specification. Include a site description and links to your key pages.

Your page doesn't use <article> or <main> elements. These semantic containers help AI agents identify the primary content area and ignore navigation, sidebars, and footers.

How to implement

Add a <main> element around your page's primary content, and use <article> for self-contained content blocks like blog posts or product descriptions.

Your heading structure has issues (skipped levels or multiple h1 tags). A clean hierarchy helps AI agents understand content organization.

How to implement

Ensure you have exactly one <h1> per page, and headings follow sequential order: h1 > h2 > h3. Don't skip levels (e.g., h1 directly to h3).

Your page has a low ratio of actual content to total HTML. Much of the page weight is markup, scripts, or styles rather than content.

How to implement

Move CSS to external stylesheets, remove inline styles, minimize JavaScript, and ensure the HTML focuses on content structure.

Your site doesn't support Markdown for Agents. This Cloudflare standard lets AI agents request content in markdown format, reducing token usage by ~80%.

How to implement

Implement one or more: (1) Respond to Accept: text/markdown with markdown content. (2) Serve .md URLs (e.g., /page.md). (3) Add <link rel="alternate" type="text/markdown"> tags. (4) Add Link HTTP headers for markdown discovery.

Your site doesn't have a robots.txt file. This file controls how bots (including AI agents) access your site.

How to implement

Create a /robots.txt file that allows access to your content pages. Include a Sitemap directive pointing to your sitemap.xml.

No sitemap found. A sitemap helps AI agents discover all pages on your site.

How to implement

Create a /sitemap.xml listing all your public pages. Most CMS platforms can generate this automatically.

No Content-Signal directives found. These tell AI agents how they may use your content (search indexing, AI input, training data). The recommended location is robots.txt.

How to implement

Add Content-Signal to your robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. You can also add it as an HTTP header on markdown responses.

Your page relies heavily on <div> elements. Semantic elements like <section>, <nav>, <header>, <footer>, and <aside> provide meaningful structure for AI agents.

How to implement

Replace generic <div> containers with appropriate semantic elements. Use <section> for thematic groups, <nav> for navigation, <header>/<footer> for page/section headers and footers.

No Schema.org structured data found. JSON-LD helps AI agents extract factual, structured information from your pages.

How to implement

Add a <script type="application/ld+json"> block with Schema.org markup. Use appropriate types: Article for blog posts, Product for products, Organization for your company page.

Markdown tokens: 1

  
Audiovisual Service

Upload this file as /en.md on your server so AI agents can access a clean version of your page. You can also configure Accept: text/markdown content negotiation to serve it automatically.

Generated llms.txt for this single page

Download llms.txt
# audiovisual.ec.europa.eu

## Main
- [Audiovisual Service](https://audiovisual.ec.europa.eu/en)

Full llms.txt requires domain-wide analysis (coming soon)

Upload this file to https://audiovisual.ec.europa.eu/llms.txt at the root of your domain. AI agents like ChatGPT, Claude, and Perplexity check this file to understand your site structure.

Semantic HTML

Uses article or main element (0/100)

Missing <article> and <main> elements

Proper heading hierarchy (0/100)

No headings found

Uses semantic HTML elements (0/100)

0 semantic elements, 2 divs (ratio: 0%)

Meaningful image alt texts (100/100)

No images found

Low div nesting depth (100/100)

Avg div depth: 0.5, max: 1

Content Efficiency

Good token reduction ratio (100/100)

100% token reduction (HTML→Markdown)

Good content-to-noise ratio (0/100)

Content ratio: 0.0% (0 content chars / 1713 HTML bytes)

Minimal inline styles (100/100)

0/27 elements with inline styles (0.0%)

Reasonable page weight (100/100)

HTML size: 2KB

AI Discoverability

Has llms.txt file (0/100)

No llms.txt found

Has robots.txt file (0/100)

No robots.txt found

Robots.txt allows AI bots (100/100)

No robots.txt — AI bots allowed by default

Has sitemap.xml (0/100)

No sitemap found

Markdown for Agents support (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Has Content-Signal (robots.txt or HTTP headers) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Structured Data

Has Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Has Open Graph tags (0/100)

0/3 OG tags present

Has meta description (0/100)

No meta description

Has canonical URL (0/100)

No canonical URL

Has lang attribute (0/100)

No lang attribute on <html>

Accessibility

Content available without JavaScript (100/100)

Content available without JavaScript

Reasonable page size (100/100)

Page size: 2KB

Content appears early in HTML (0/100)

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"
    }
  ]
}

Use our API to get this programmatically (coming soon)

This JSON is for internal use — unlike the Markdown and llms.txt files, it's not meant to be uploaded to your site. Save it as a baseline to track your score over time, share it with your dev team, or integrate it into your CI/CD pipeline.

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