Analysierte URL
https://omniasec.ai/
Gemessen vor 3 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 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.
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 sitemap found
Keine Sitemap gefunden. Eine Sitemap hilft KI-Agenten, alle Seiten Ihrer Website zu entdecken.
So implementieren Sie es
Erstellen Sie eine /sitemap.xml, die alle Ihre öffentlichen Seiten auflistet. Die meisten CMS-Plattformen können diese automatisch generieren.
Was wir gemessen haben No canonical URL
Keine kanonische URL gefunden. Diese hilft KI-Agenten, die bevorzugte Version einer Seite zu identifizieren und doppelte Inhalte zu vermeiden.
So implementieren Sie es
Fügen Sie ein <link rel="canonical" href="...">-Tag hinzu, das auf die kanonische URL der Seite verweist.
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 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 Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)
Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.
So implementieren Sie es
Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.
Was wir gemessen haben 12 semantic elements, 85 divs (ratio: 12%)
Ihre Seite stützt sich stark auf <div>-Elemente. Semantische Elemente wie <section>, <nav>, <header>, <footer> und <aside> bieten eine sinnvolle Struktur für KI-Agenten.
So implementieren Sie es
Ersetzen Sie generische <div>-Container durch passende semantische Elemente. Verwenden Sie <section> für thematische Gruppen, <nav> für Navigation, <header>/<footer> für Seiten-/Abschnittskopf und -fußzeilen.
Was wir gemessen haben 2/3 OG tags present
Fehlende oder unvollständige Open-Graph-Tags. OG-Tags helfen KI-Agenten (und sozialen Plattformen), Titel, Beschreibung und Bild Ihrer Seite zu verstehen.
So implementieren Sie es
Fügen Sie og:title, og:description und og:image Meta-Tags zum <head> Ihrer Seite hinzu.
Was wir gemessen haben 4/275 elements with inline styles (1.5%)
Viele Elemente haben Inline-Style-Attribute. Diese erzeugen Rauschen für KI-Agenten bei der Inhaltsextraktion.
So implementieren Sie es
Verlagern Sie alle Inline-Styles in CSS-Klassen in Ihrem Stylesheet. Verwenden Sie Utility-CSS-Frameworks wie Tailwind, wenn Sie viele individuelle Styles benötigen.
## 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)
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
# 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/)
Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)
Laden Sie diese Datei als https://omniasec.ai/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.
Zugänglichkeit
Content available without JavaScript
Main content starts at 22% of HTML
Page size: 35KB
KI-Auffindbarkeit
All major AI search bots allowed
No sitemap found
robots.txt exists
No llms.txt found
Strukturierte Daten
No JSON-LD / Schema.org found
2/3 OG tags present
Meta description too short: 5 chars
No canonical URL
lang="en"
Semantisches HTML
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
Inhaltseffizienz
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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"recommendations": [
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"evidence": "plausible",
"checkScore": 41,
"checkDetails": "12 semantic elements, 85 divs (ratio: 12%)"
},
{
"id": "add_open_graph",
"priority": "medium",
"category": "structuredData",
"titleKey": "rec.add_open_graph.title",
"descriptionKey": "rec.add_open_graph.description",
"howToKey": "rec.add_open_graph.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 1.3,
"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\">"
}
]
}
]
}
Nutzen Sie unsere API, um dies programmatisch abzurufen (kommt bald)
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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