URL analizada
https://omniasec.ai/
Medido hace 3 semanas
Puntuación AI-Ready
Aceptable
de 100
Ahorro de tokens
Desglose de la puntuación
Protocolos emergentes
0 de 6 detectadosEndpoints well-known que los AI agents buscan. Detectados significa que un agente puede descubrir y conectar con tu servicio automáticamente.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
Esto no se queda quieto. La monitorización aún no existe: apúntate y te avisamos cuando esté.
¡Estás en la lista! Te avisaremos cuando se lance.
Lo que medimos No JSON-LD / Schema.org found
No se encontraron datos estructurados de Schema.org. JSON-LD ayuda a los AI agents a extraer información factual y estructurada de tus páginas.
Cómo implementarlo
Añade un bloque <script type="application/ld+json"> con marcado Schema.org. Usa los tipos apropiados: Article para entradas de blog, Product para productos, Organization para la página de tu empresa.
Lo que medimos No Markdown for Agents support detected
Tu sitio no soporta Markdown for Agents. Este estándar de Cloudflare permite a los agentes IA solicitar contenido en formato markdown, reduciendo el uso de tokens en ~80%.
Cómo implementarlo
Implementa uno o más: (1) Responder a Accept: text/markdown con contenido markdown. (2) Servir URLs .md (ej: /pagina.md). (3) Añadir etiquetas <link rel="alternate" type="text/markdown">. (4) Añadir cabeceras HTTP Link para descubrimiento markdown.
Lo que medimos No sitemap found
No se encontró un sitemap. Un sitemap ayuda a los AI agents a descubrir todas las páginas de tu sitio.
Cómo implementarlo
Crea un /sitemap.xml con todas tus páginas públicas. La mayoría de los CMS pueden generarlo automáticamente.
Lo que medimos No canonical URL
No se encontró URL canónica. Esto ayuda a los AI agents a identificar la versión preferida de una página y evitar contenido duplicado.
Cómo implementarlo
Añade una etiqueta <link rel="canonical" href="..."> apuntando a la URL canónica de la página.
Lo que medimos No llms.txt found
Tu sitio no tiene un archivo llms.txt. Este es el estándar emergente para ayudar a los AI agents a comprender la estructura de tu sitio.
Cómo implementarlo
Crea un archivo /llms.txt siguiendo la especificación de llmstxt.org. Incluye una descripción del sitio y enlaces a tus páginas principales.
Lo que medimos No Content-Signal found (robots.txt or HTTP headers)
No se encontraron directivas Content-Signal. Estas indican a los agentes IA cómo pueden usar tu contenido (indexación, entrada IA, datos de entrenamiento). La ubicación recomendada es robots.txt.
Cómo implementarlo
Añade Content-Signal a tu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. También puedes añadirlo como cabecera HTTP en respuestas markdown.
Lo que medimos Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)
Tu página tiene un bajo ratio de contenido real respecto al HTML total. Gran parte del peso de la página es marcado, scripts o estilos en lugar de contenido.
Cómo implementarlo
Mueve el CSS a hojas de estilo externas, elimina los estilos en línea, minimiza el JavaScript y asegúrate de que el HTML se centre en la estructura del contenido.
Lo que medimos 12 semantic elements, 85 divs (ratio: 12%)
Tu página depende en gran medida de elementos <div>. Los elementos semánticos como <section>, <nav>, <header>, <footer> y <aside> proporcionan una estructura significativa para los AI agents.
Cómo implementarlo
Reemplaza los contenedores <div> genéricos con los elementos semánticos apropiados. Usa <section> para grupos temáticos, <nav> para navegación, <header>/<footer> para cabeceras y pies de página o sección.
Lo que medimos 2/3 OG tags present
Faltan etiquetas Open Graph o están incompletas. Las etiquetas OG ayudan a los AI agents (y plataformas sociales) a comprender el título, la descripción y la imagen de tu página.
Cómo implementarlo
Añade las meta etiquetas og:title, og:description y og:image en el <head> de tu página.
Lo que medimos 4/275 elements with inline styles (1.5%)
Muchos elementos tienen atributos de estilo en línea. Estos añaden ruido para los AI agents al extraer contenido.
Cómo implementarlo
Mueve todos los estilos en línea a clases CSS en tu hoja de estilos. Usa frameworks de CSS utilitario como Tailwind si necesitas muchos estilos únicos.
## The AI Security *Command Center.* Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface. [Try Omnia →](https://app.omniasec.ai/login) or install the CLI `curl -fsSL https://omniasec.ai/cli-install | bash` Our network ## Trusted Partners Capabilities ## Built for modern security teams ### Chat Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface. ### Custom Agents Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases. ### Templates & Prompts Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch. ### Knowledge Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it. ### MCPs Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed. ### Community Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence. Chat ## Your AI security analyst, one message away Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.  File Analysis ## Upload any file, uncover hidden threats Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.  Market Intelligence ## Monitor every marketplace, spot risks early Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.  Workflows ## Automate your security playbooks Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code. 
Home | Omnia [](https://omniasec.ai/) [Try Omnia](https://app.omniasec.ai/login) # The AI Security *Command Center.* Orchestrate your security stack, analyze threats with AI, and stop attacks from one interface. [Try Omnia →](https://app.omniasec.ai/login) or install the CLI `curl -fsSL https://omniasec.ai/cli-install | bash` Our network ## Trusted Partners                                 Capabilities ## Built for modern security teams ### Chat Ask Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface. ### Custom Agents Create personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases. ### Templates & Prompts Build reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch. ### Knowledge Upload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it. ### MCPs Connect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed. ### Community Share and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence. Chat ## Your AI security analyst, one message away Deobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.  File Analysis ## Upload any file, uncover hidden threats Submit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.  Market Intelligence ## Monitor every marketplace, spot risks early Search and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.  Workflows ## Automate your security playbooks Build automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.  Zero-day reads [View all →](https://omniasec.ai/blog/) [### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/) \> | ## Ready to see what Omnia can do? Join the community redefining how we fight cyber threats. [Try Omnia →](https://app.omniasec.ai/login)
Sube este archivo como /index.md en tu servidor para que los AI agents puedan acceder a una versión limpia de tu página. También puedes configurar la negociación de contenido Accept: text/markdown para servirlo automáticamente.
llms.txt generado para esta página individual
# omniasec.ai > Omnia ## Documentation - [Docs](https://omniasec.ai/docs/) ## Main - [Home | Omnia](https://omniasec.ai/): Omnia - [About](https://omniasec.ai/about/) - [Docs](https://omniasec.ai/docs/) - [Bug Bounty](https://omniasec.ai/bug-bounty/) ## Blog - [Blog](https://omniasec.ai/blog/) ## Legal - [Privacy Policy](https://omniasec.ai/privacy-policy/)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://omniasec.ai/llms.txt en la raíz de tu dominio. Los AI agents como ChatGPT, Claude y Perplexity consultan este archivo para comprender la estructura de tu sitio.
Accesibilidad
Content available without JavaScript
Main content starts at 22% of HTML
Page size: 35KB
Visibilidad para IA
All major AI search bots allowed
No sitemap found
robots.txt exists
No llms.txt found
Datos estructurados
No JSON-LD / Schema.org found
2/3 OG tags present
Meta description too short: 5 chars
No canonical URL
lang="en"
HTML semántico
Clean heading hierarchy
Has <main>
12 semantic elements, 85 divs (ratio: 12%)
36/36 images with meaningful alt text
Avg div depth: 2.0, max: 3
Eficiencia del contenido
96% token reduction (HTML→Markdown)
Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)
HTML size: 35KB
4/275 elements with inline styles (1.5%)
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"markdown": "## The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n\n",
"fullPageMarkdown": "Home | Omnia\n\n[](https://omniasec.ai/)\n\n[Try Omnia](https://app.omniasec.ai/login)\n\n# The AI Security *Command Center.*\n\nOrchestrate your security stack, analyze threats with AI, and stop attacks from one interface.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n\nor install the CLI\n\n`curl -fsSL https://omniasec.ai/cli-install | bash`\n\nOur network\n\n## Trusted Partners\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nCapabilities\n\n## Built for modern security teams\n\n### Chat\n\nAsk Omnia to deobfuscate code, generate cybersecurity reports, look up hashes, or investigate threats — all through a single conversational interface.\n\n### Custom Agents\n\nCreate personalized AI agents with custom instructions tailored to your security needs. Define how Omnia thinks, responds, and acts for your specific use cases.\n\n### Templates & Prompts\n\nBuild reusable prompt templates for recurring tasks like incident triage, threat analysis, or compliance checks. Work faster without starting from scratch.\n\n### Knowledge\n\nUpload your documents, reports, and intel feeds to create a private knowledge base. Omnia retrieves relevant context automatically when you need it.\n\n### MCPs\n\nConnect your own Model Context Protocol servers to extend Omnia with custom tools, data sources, and integrations — no redeployment needed.\n\n### Community\n\nShare and discover agents, prompts, workflows, templates, and knowledge bases created by other security professionals. Scale your operations with collective intelligence.\n\nChat\n\n## Your AI security analyst, one message away\n\nDeobfuscate code, generate threat reports, investigate hashes, and run security tasks — all through a conversational interface powered by Omnia's AI agents.\n\n\n\nFile Analysis\n\n## Upload any file, uncover hidden threats\n\nSubmit files for deep inspection powered by AI engines. Omnia decompiles binaries, disassembles code, and detects obfuscated malware and zero-day patterns that traditional scanners miss.\n\n\n\nMarket Intelligence\n\n## Monitor every marketplace, spot risks early\n\nSearch and audit packages across VS Code, npm, PyPI, and more. Instantly surface malicious extensions, typosquatting attempts, and compromised dependencies before they reach your stack.\n\n\n\nWorkflows\n\n## Automate your security playbooks\n\nBuild automated workflows that chain Omnia's AI agents to handle your cybersecurity tasks — from triage to response — without writing a single line of code.\n\n\n\nZero-day reads\n\n[View all →](https://omniasec.ai/blog/)\n\n[### Welcome to Omnia: Redefining Malware Analysis in the Age of AIMar 16, 2026](https://omniasec.ai/blog/welcome-to-omnia/)\n\n\\> |\n\n## Ready to see what\nOmnia can do?\n\nJoin the community redefining how we fight cyber threats.\n\n[Try Omnia →](https://app.omniasec.ai/login)\n",
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"maxImpact": 4,
"evidence": "plausible",
"checkScore": 67,
"checkDetails": "2/3 OG tags present"
},
{
"id": "remove_inline_styles",
"priority": "low",
"category": "contentEfficiency",
"titleKey": "rec.remove_inline_styles.title",
"descriptionKey": "rec.remove_inline_styles.description",
"howToKey": "rec.remove_inline_styles.howto",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 0.5,
"maxImpact": 1,
"evidence": "speculative",
"checkScore": 50,
"checkDetails": "4/275 elements with inline styles (1.5%)"
}
],
"llmsTxtPreview": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://omniasec.ai/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://omniasec.ai/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://omniasec.ai/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://omniasec.ai/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://omniasec.ai/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://omniasec.ai/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
"probed": true,
"bot": "OAI-SearchBot",
"controlStatus": 200,
"botStatus": 200,
"discriminates": false,
"refusedAsBot": false,
"edge": null,
"verifiable": false,
"detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
},
"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": "# omniasec.ai\n\n> Omnia\n\n## Documentation\n- [Docs](https://omniasec.ai/docs/)\n\n## Main\n- [Home | Omnia](https://omniasec.ai/): Omnia\n- [About](https://omniasec.ai/about/)\n- [Docs](https://omniasec.ai/docs/)\n- [Bug Bounty](https://omniasec.ai/bug-bounty/)\n\n## Blog\n- [Blog](https://omniasec.ai/blog/)\n\n## Legal\n- [Privacy Policy](https://omniasec.ai/privacy-policy/)\n\n",
"filename": "/llms.txt"
},
{
"id": "add_open_graph",
"title": "Add missing Open Graph tags",
"description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
"language": "html",
"code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://omniasec.ai/\">\n<meta property=\"og:type\" content=\"website\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://omniasec.ai/\">\n<meta property=\"og:type\" content=\"website\">"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n if (!is_singular()) return;\n $post = get_queried_object();\n $title = get_the_title($post);\n $desc = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n $url = get_permalink($post);\n printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page.tsx",
"code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n title: \"Home | Omnia\",\n description: \"Omnia\",\n openGraph: {\n title: \"Home | Omnia\",\n description: \"Omnia\",\n url: \"https://omniasec.ai/\",\n images: [\"https://yoursite.com/og-image.jpg\"],\n type: 'website',\n },\n};"
}
]
},
{
"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://omniasec.ai/\">",
"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\": \"Home | Omnia\",\n \"description\": \"Omnia\",\n \"url\": \"https://omniasec.ai/\",\n \"inLanguage\": \"en\"\n}\n</script>",
"filename": "<head>"
},
{
"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://omniasec.ai/</loc>\n <lastmod>2026-09-01</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\">"
}
]
}
]
}
Usa nuestra API para obtener esto de forma programática (próximamente)
Este JSON es para uso interno — a diferencia del Markdown y llms.txt, no está pensado para subirse a tu web. Guárdalo como referencia para seguir la evolución de tu puntuación, compártelo con tu equipo de desarrollo o intégralo en tu pipeline CI/CD.
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