Analysierte URL
https://grapheneos.org
Gemessen vor 2 Wochen
KI-Ready Score
Befriedigend
von 100
Token-Einsparung
Score-Aufschlüsselung
Emerging Protocols
0 von 6 erkanntWell-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.
-
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
Das bleibt nicht so. Monitoring gibt es noch nicht — tragen Sie sich ein, wir melden uns zum Start.
Sie stehen auf der Liste! Wir benachrichtigen Sie, sobald es verfügbar ist.
Was wir gemessen haben No llms.txt found
Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.
So implementieren Sie es
Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.
Was wir gemessen haben No Markdown for Agents support detected
Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.
So implementieren Sie es
Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.
Was wir gemessen haben No Content-Signal found (robots.txt or HTTP headers)
Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.
So implementieren Sie es
Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.
Was wir gemessen haben 0/4 images with meaningful alt text
Einige Bilder haben keine beschreibenden Alt-Texte. Gute Alt-Texte helfen KI-Agenten, Bildinhalte und -kontext zu verstehen.
So implementieren Sie es
Fügen Sie beschreibende alt-Attribute zu allen Bildern hinzu. Beschreiben Sie, was das Bild zeigt, nicht nur 'Bild' oder 'Foto'. Für dekorative Bilder verwenden Sie alt="" (leer).
Was wir gemessen haben No JSON-LD / Schema.org found
Keine Schema.org-strukturierten Daten gefunden. JSON-LD hilft KI-Agenten, faktische, strukturierte Informationen aus Ihren Seiten zu extrahieren.
So implementieren Sie es
Fügen Sie einen <script type="application/ld+json">-Block mit Schema.org-Markup hinzu. Verwenden Sie passende Typen: Article für Blogbeiträge, Product für Produktseiten, Organization für Ihre Unternehmensseite.
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).
Laden Sie diese Datei als /index.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.
Generierte llms.txt für diese einzelne Seite
# 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)
Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)
Laden Sie diese Datei als https://grapheneos.org/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.
Semantisches HTML
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
Inhaltseffizienz
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
KI-Auffindbarkeit
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Strukturierte Daten
No JSON-LD / Schema.org found
All OG tags present
Meta description: 86 chars
Canonical URL present
lang="en"
Zugänglichkeit
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\">"
}
]
}
]
}
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Dieses JSON ist für den internen Gebrauch bestimmt — im Gegensatz zu den Markdown- und llms.txt-Dateien soll es nicht auf Ihre Website hochgeladen werden. Speichern Sie es als Ausgangswert, um Ihren Score im Zeitverlauf zu verfolgen, teilen Sie es mit Ihrem Entwicklerteam oder integrieren Sie es in Ihre CI/CD-Pipeline.
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