URL analysée
https://grapheneos.org
Mesuré il y a 2 semaines
Score AI-Ready
Passable
sur 100
Économie de tokens
Détail du score
Protocoles émergents
0 sur 6 détectésEndpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.
-
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
Cela ne reste pas en place. La surveillance n'existe pas encore : inscrivez-vous, on vous préviendra.
Vous êtes sur la liste ! Nous vous préviendrons lors du lancement.
Ce que nous avons mesuré No llms.txt found
Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.
Comment implémenter
Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.
Ce que nous avons mesuré No Markdown for Agents support detected
Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.
Comment implémenter
Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.
Ce que nous avons mesuré No Content-Signal found (robots.txt or HTTP headers)
Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.
Comment implémenter
Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.
Ce que nous avons mesuré 0/4 images with meaningful alt text
Certaines images manquent de texte alternatif descriptif. De bons textes alt aident les AI agents à comprendre le contenu et le contexte des images.
Comment implémenter
Ajoutez des attributs alt descriptifs à toutes les images. Décrivez ce que l’image montre, pas juste « image » ou « photo ». Pour les images décoratives, utilisez alt="" (vide).
Ce que nous avons mesuré No JSON-LD / Schema.org found
Aucune donnée structurée Schema.org trouvée. JSON-LD aide les AI agents à extraire des informations factuelles et structurées de vos pages.
Comment implémenter
Ajoutez un bloc <script type="application/ld+json"> avec du balisage Schema.org. Utilisez les types appropriés : Article pour les billets de blog, Product pour les produits, Organization pour la page de votre entreprise.
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).
Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.
llms.txt généré pour cette page individuelle
# 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)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://grapheneos.org/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.
HTML sémantique
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
Efficacité du contenu
61% token reduction (HTML→Markdown)
Content ratio: 41.1% (2876 content chars / 6997 HTML bytes)
0/124 elements with inline styles (0.0%)
HTML size: 7KB
Visibilité IA
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Données structurées
No JSON-LD / Schema.org found
All OG tags present
Meta description: 86 chars
Canonical URL present
lang="en"
Accessibilité
Content available without JavaScript
Page size: 7KB
Main content starts at 33% of HTML
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"markdown": "The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project.\n\n[Install GrapheneOS](https://grapheneos.org/install/)\n\n\n\n## [About](https://grapheneos.org/#about)\n\nGrapheneOS 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).\n\nGrapheneOS 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.\n\nThe [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.\n\nOfficial releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/).\n\nGrapheneOS 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.\n\n## [No Google apps or services](https://grapheneos.org/#never-google-services)\n\nGrapheneOS 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.\n\n## [Device support](https://grapheneos.org/faq#device-support)\n\nSee [the FAQ section on device support](https://grapheneos.org/faq#device-support).\n",
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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\">"
}
]
}
]
}
Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)
Ce JSON est à usage interne — contrairement au Markdown et au llms.txt, il n’est pas destiné à être téléversé sur votre site. Conservez-le comme référence pour suivre l’évolution de votre score, partagez-le avec votre équipe de développement ou intégrez-le dans votre pipeline CI/CD.
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