URL analizada
https://grapheneos.org
Medido hace 2 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 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 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 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 0/4 images with meaningful alt text
Algunas imágenes carecen de texto alternativo descriptivo. Un buen texto alternativo ayuda a los AI agents a comprender el contenido y contexto de las imágenes.
Cómo implementarlo
Añade atributos alt descriptivos a todas las imágenes. Describe lo que muestra la imagen, no solo 'imagen' o 'foto'. Para imágenes decorativas, usa alt="" (vacío).
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.
The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project. [Install GrapheneOS](https://grapheneos.org/install/)  ## [About](https://grapheneos.org/#about) GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados). GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX. The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page. Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/). GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS. ## [No Google apps or services](https://grapheneos.org/#never-google-services) GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps. ## [Device support](https://grapheneos.org/faq#device-support) See [the FAQ section on device support](https://grapheneos.org/faq#device-support).
GrapheneOS: the private and secure mobile OS # [GrapheneOS](https://grapheneos.org/#grapheneos) The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project. [Install GrapheneOS](https://grapheneos.org/install/)  Get to know GrapheneOS ## [About](https://grapheneos.org/#about) GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados). GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX. The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page. Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/). GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS. ## [No Google apps or services](https://grapheneos.org/#never-google-services) GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps. ## [Device support](https://grapheneos.org/faq#device-support) See [the FAQ section on device support](https://grapheneos.org/faq#device-support).
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
# GrapheneOS > GrapheneOS is a security and privacy focused mobile OS with Android app compatibility. ## Documentation - [FAQ](https://grapheneos.org/faq) ## Main - [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility. - [Features](https://grapheneos.org/features) - [GrapheneOS](https://grapheneos.org/) - [Install](https://grapheneos.org/install/) - [Build](https://grapheneos.org/build) - [Usage](https://grapheneos.org/usage) - [Releases](https://grapheneos.org/releases) - [Source](https://grapheneos.org/source) - [History](https://grapheneos.org/history/) - [Donate](https://grapheneos.org/donate) ## Blog - [Articles](https://grapheneos.org/articles/) ## Support - [FAQ](https://grapheneos.org/faq) - [Contact](https://grapheneos.org/contact)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://grapheneos.org/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.
HTML semántico
Has <main>
Clean heading hierarchy
8 semantic elements, 5 divs (ratio: 62%)
0/4 images with meaningful alt text
Avg div depth: 0.4, max: 1
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61% token reduction (HTML→Markdown)
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0/124 elements with inline styles (0.0%)
HTML size: 7KB
Visibilidad para IA
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Datos estructurados
No JSON-LD / Schema.org found
All OG tags present
Meta description: 86 chars
Canonical URL present
lang="en"
Accesibilidad
Content available without JavaScript
Page size: 7KB
Main content starts at 33% of HTML
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"description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
"language": "markdown",
"code": "# GrapheneOS\n\n> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n\n## Documentation\n- [FAQ](https://grapheneos.org/faq)\n\n## Main\n- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n- [Features](https://grapheneos.org/features)\n- [GrapheneOS](https://grapheneos.org/)\n- [Install](https://grapheneos.org/install/)\n- [Build](https://grapheneos.org/build)\n- [Usage](https://grapheneos.org/usage)\n- [Releases](https://grapheneos.org/releases)\n- [Source](https://grapheneos.org/source)\n- [History](https://grapheneos.org/history/)\n- [Donate](https://grapheneos.org/donate)\n\n## Blog\n- [Articles](https://grapheneos.org/articles/)\n\n## Support\n- [FAQ](https://grapheneos.org/faq)\n- [Contact](https://grapheneos.org/contact)\n\n",
"filename": "/llms.txt"
},
{
"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\": \"GrapheneOS: the private and secure mobile OS\",\n \"description\": \"GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\",\n \"url\": \"https://grapheneos.org\",\n \"inLanguage\": \"en\",\n \"isPartOf\": {\n \"@type\": \"WebSite\",\n \"name\": \"GrapheneOS\"\n }\n}\n</script>",
"filename": "<head>"
},
{
"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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