URL analizada
https://docs.catalyst.zoho.com
Medido hace 6 días
Puntuación AI-Ready
Deficiente
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 Main content starts at 100% of HTML
El contenido principal aparece tarde en el documento HTML. Los AI agents pueden dar más peso al contenido que aparece antes.
Cómo implementarlo
Reestructura tu HTML para que el contenido <main> o <article> aparezca antes que las barras laterales y el contenido suplementario.
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 headings found
La estructura de encabezados tiene problemas (niveles saltados o múltiples etiquetas h1). Una jerarquía limpia ayuda a los AI agents a comprender la organización del contenido.
Cómo implementarlo
Asegúrate de tener exactamente un <h1> por página y que los encabezados sigan un orden secuencial: h1 > h2 > h3. No saltes niveles (por ejemplo, de h1 directamente a h3).
Lo que medimos 0/3 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 No meta description
No se encontró meta description. Esta etiqueta proporciona un resumen conciso de la página para AI agents y motores de búsqueda.
Cómo implementarlo
Añade una etiqueta <meta name="description" content="..."> con una descripción de 150-160 caracteres sobre el contenido de la página.
Lo que medimos Missing <article> and <main> elements
Tu página no usa elementos <article> o <main>. Estos contenedores semánticos ayudan a los AI agents a identificar el área de contenido principal e ignorar navegación, barras laterales y pies de página.
Cómo implementarlo
Añade un elemento <main> alrededor del contenido principal de tu página, y usa <article> para bloques de contenido independientes como entradas de blog o descripciones de productos.
Lo que medimos Content ratio: 0.0% (0 content chars / 294 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 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.
https://docs.catalyst.zoho.com/en/
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
# docs.catalyst.zoho.com ## Main - [https://docs.catalyst.zoho.com/en/](https://docs.catalyst.zoho.com)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://docs.catalyst.zoho.com/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 100% of HTML
Page size: 0KB
Visibilidad para IA
All major AI search bots allowed
Sitemap found
robots.txt exists
No llms.txt found
Datos estructurados
No JSON-LD / Schema.org found
0/3 OG tags present
No meta description
Canonical URL present
lang="en"
HTML semántico
No headings found
Missing <article> and <main> elements
No divs or semantic elements found
No images found
No divs found
Eficiencia del contenido
99% token reduction (HTML→Markdown)
Content ratio: 0.0% (0 content chars / 294 HTML bytes)
HTML size: 0KB
0/7 elements with inline styles (0.0%)
{
"url": "https://docs.catalyst.zoho.com",
"timestamp": 1787983176541,
"fetch": {
"mode": "simple",
"timeMs": 516,
"htmlSizeBytes": 294,
"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": "https://docs.catalyst.zoho.com/en/",
"excerpt": "",
"byline": null,
"siteName": null,
"lang": "en",
"contentLength": 0,
"metadata": {
"description": null,
"ogTitle": null,
"ogDescription": null,
"ogImage": null,
"ogType": null,
"canonical": "https://docs.catalyst.zoho.com/en/",
"lang": "en",
"schemas": [],
"robotsMeta": null,
"author": null,
"generator": null,
"markdownAlternateHref": null
}
},
"markdown": "\n",
"fullPageMarkdown": "https://docs.catalyst.zoho.com/en/\n",
"markdownStats": {
"images": 0,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 0
},
"tokens": {
"htmlTokens": 93,
"markdownTokens": 1,
"reduction": 92,
"reductionPercent": 99
},
"score": {
"score": 55,
"grade": "D",
"rubricVersion": 2,
"dimensions": {
"accessibility": {
"score": 75,
"weight": 30,
"grade": "B",
"checks": {
"content_without_js": {
"score": 100,
"weight": 55,
"evidence": "proven",
"details": "Content available without JavaScript"
},
"fast_content_position": {
"score": 0,
"weight": 25,
"evidence": "plausible",
"details": "Main content starts at 100% of HTML"
},
"reasonable_page_size": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Page size: 0KB"
}
}
},
"aiDiscoverability": {
"score": 60,
"weight": 25,
"grade": "C",
"checks": {
"robots_allows_ai_bots": {
"score": 100,
"weight": 35,
"evidence": "proven",
"details": "All major AI search bots allowed"
},
"supports_markdown_negotiation": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "No Markdown for Agents support detected"
},
"has_sitemap": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "Sitemap found"
},
"has_robots_txt": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "robots.txt exists"
},
"has_llms_txt": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No llms.txt found"
},
"has_content_signals": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No Content-Signal found (robots.txt or HTTP headers)"
}
}
},
"structuredData": {
"score": 25,
"weight": 20,
"grade": "F",
"checks": {
"has_schema_org": {
"score": 0,
"weight": 35,
"evidence": "proven",
"details": "No JSON-LD / Schema.org found"
},
"has_open_graph": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "0/3 OG tags present"
},
"has_meta_description": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "No meta description"
},
"has_canonical_url": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "Canonical URL present"
},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "lang=\"en\""
}
}
},
"semanticHtml": {
"score": 35,
"weight": 15,
"grade": "F",
"checks": {
"proper_heading_hierarchy": {
"score": 0,
"weight": 30,
"evidence": "plausible",
"details": "No headings found"
},
"uses_article_or_main": {
"score": 0,
"weight": 25,
"evidence": "plausible",
"details": "Missing <article> and <main> elements"
},
"semantic_elements": {
"score": 50,
"weight": 20,
"evidence": "plausible",
"details": "No divs or semantic elements found"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No images found"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "No divs found"
}
}
},
"contentEfficiency": {
"score": 70,
"weight": 10,
"grade": "C",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "99% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 0,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 0.0% (0 content chars / 294 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 0KB"
},
"minimal_inline_styles": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "0/7 elements with inline styles (0.0%)"
}
}
}
}
},
"recommendations": [
{
"id": "move_content_earlier",
"priority": "critical",
"category": "accessibility",
"titleKey": "rec.move_content_earlier.title",
"descriptionKey": "rec.move_content_earlier.description",
"howToKey": "rec.move_content_earlier.howto",
"effort": "moderate",
"estimatedImpact": 7.5,
"maxImpact": 7.5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "Main content starts at 100% of HTML"
},
{
"id": "add_schema_org",
"priority": "critical",
"category": "structuredData",
"titleKey": "rec.add_schema_org.title",
"descriptionKey": "rec.add_schema_org.description",
"howToKey": "rec.add_schema_org.howto",
"effort": "moderate",
"estimatedImpact": 7,
"maxImpact": 7,
"evidence": "proven",
"checkScore": 0,
"checkDetails": "No JSON-LD / Schema.org found"
},
{
"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": 5,
"maxImpact": 5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"id": "fix_heading_hierarchy",
"priority": "high",
"category": "semanticHtml",
"titleKey": "rec.fix_heading_hierarchy.title",
"descriptionKey": "rec.fix_heading_hierarchy.description",
"howToKey": "rec.fix_heading_hierarchy.howto",
"effort": "quick-win",
"estimatedImpact": 4.5,
"maxImpact": 4.5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No headings found"
},
{
"id": "add_open_graph",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_open_graph.title",
"descriptionKey": "rec.add_open_graph.description",
"howToKey": "rec.add_open_graph.howto",
"effort": "quick-win",
"estimatedImpact": 4,
"maxImpact": 4,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "0/3 OG tags present"
},
{
"id": "add_meta_description",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_meta_description.title",
"descriptionKey": "rec.add_meta_description.description",
"howToKey": "rec.add_meta_description.howto",
"effort": "quick-win",
"estimatedImpact": 4,
"maxImpact": 4,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No meta description"
},
{
"id": "add_article_main",
"priority": "high",
"category": "semanticHtml",
"titleKey": "rec.add_article_main.title",
"descriptionKey": "rec.add_article_main.description",
"howToKey": "rec.add_article_main.howto",
"effort": "quick-win",
"estimatedImpact": 3.8,
"maxImpact": 3.8,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "Missing <article> and <main> elements"
},
{
"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": 3,
"maxImpact": 3,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "Content ratio: 0.0% (0 content chars / 294 HTML bytes)"
},
{
"id": "add_llms_txt",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_llms_txt.title",
"descriptionKey": "rec.add_llms_txt.description",
"howToKey": "rec.add_llms_txt.howto",
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No llms.txt found"
},
{
"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": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
}
],
"llmsTxtPreview": "# docs.catalyst.zoho.com\n\n## Main\n- [https://docs.catalyst.zoho.com/en/](https://docs.catalyst.zoho.com)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://docs.catalyst.zoho.com/.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": "# docs.catalyst.zoho.com\n\n## Main\n- [https://docs.catalyst.zoho.com/en/](https://docs.catalyst.zoho.com)\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>https://docs.catalyst.zoho.com/en/</h1>",
"filename": "<main> or <article>"
},
{
"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:title\" content=\"https://docs.catalyst.zoho.com/en/\">\n<meta property=\"og:description\" content=\"Page description.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://docs.catalyst.zoho.com\">\n<meta property=\"og:type\" content=\"website\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<meta property=\"og:title\" content=\"https://docs.catalyst.zoho.com/en/\">\n<meta property=\"og:description\" content=\"Page description.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://docs.catalyst.zoho.com\">\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: \"https://docs.catalyst.zoho.com/en/\",\n description: \"Page description.\",\n openGraph: {\n title: \"https://docs.catalyst.zoho.com/en/\",\n description: \"Page description.\",\n url: \"https://docs.catalyst.zoho.com\",\n images: [\"https://yoursite.com/og-image.jpg\"],\n type: 'website',\n },\n};"
}
]
},
{
"id": "add_meta_description",
"title": "Add meta description",
"description": "A good meta description (50-160 characters) helps AI agents understand your page quickly.",
"language": "html",
"code": "<meta name=\"description\" content=\"https://docs.catalyst.zoho.com/en/\">",
"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\": \"https://docs.catalyst.zoho.com/en/\",\n \"description\": \"Page description.\",\n \"url\": \"https://docs.catalyst.zoho.com\",\n \"inLanguage\": \"en\"\n}\n</script>",
"filename": "<head>"
},
{
"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 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)
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