URL analisado
https://omniasec.ai/
Medido há 3 semanas
Pontuação AI-Ready
Razoável
de 100
Poupança de tokens
Desdobramento da pontuação
Protocolos emergentes
0 de 6 detetadosEndpoints well-known que os agentes de IA procuram. Detetado significa que um agente pode descobrir e conectar-se automaticamente ao seu serviço.
-
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
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O que medimos No JSON-LD / Schema.org found
Não foram encontrados dados estruturados Schema.org. JSON-LD ajuda os agentes de IA a extrair informação factual e estruturada das suas páginas.
Como implementar
Adicione um bloco <script type="application/ld+json"> com marcação Schema.org. Use tipos apropriados: Article para publicações de blog, Product para páginas de produtos, Organization para a página da sua empresa.
O que medimos No Markdown for Agents support detected
O seu site não suporta Markdown for Agents. Este padrão Cloudflare permite que agentes de IA solicitem conteúdo em formato markdown, reduzindo o uso de tokens em ~80%.
Como implementar
Implemente um ou mais: (1) Responder a Accept: text/markdown com conteúdo markdown. (2) Servir URLs .md (ex: /pagina.md). (3) Adicionar tags <link rel="alternate" type="text/markdown">. (4) Adicionar cabeçalhos HTTP Link para descoberta markdown.
O que medimos No sitemap found
Nenhum sitemap encontrado. Um sitemap ajuda os agentes de IA a descobrir todas as páginas do seu site.
Como implementar
Crie um /sitemap.xml listando todas as suas páginas públicas. A maioria das plataformas CMS pode gerar isto automaticamente.
O que medimos No canonical URL
Nenhum URL canónico encontrado. Isto ajuda os agentes de IA a identificar a versão preferida de uma página e evitar conteúdo duplicado.
Como implementar
Adicione uma tag <link rel="canonical" href="..."> apontando para o URL canónico da página.
O que medimos No llms.txt found
O seu site não tem um ficheiro llms.txt. Este é o padrão emergente para ajudar agentes de IA a compreender a estrutura do seu site.
Como implementar
Crie um ficheiro /llms.txt seguindo a especificação llmstxt.org. Inclua uma descrição do site e links para as suas páginas principais.
O que medimos No Content-Signal found (robots.txt or HTTP headers)
Nenhuma diretiva Content-Signal encontrada. Estas indicam aos agentes de IA como podem usar o seu conteúdo (indexação, entrada IA, dados de treino). A localização recomendada é robots.txt.
Como implementar
Adicione Content-Signal ao seu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Também pode adicioná-lo como cabeçalho HTTP em respostas markdown.
O que medimos Content ratio: 5.9% (2138 content chars / 35943 HTML bytes)
A sua página tem um baixo rácio de conteúdo real em relação ao HTML total. Grande parte do peso da página é markup, scripts ou estilos em vez de conteúdo.
Como implementar
Mova CSS para folhas de estilo externas, remova estilos inline, minimize JavaScript e garanta que o HTML se foca na estrutura do conteúdo.
O que medimos 12 semantic elements, 85 divs (ratio: 12%)
A sua página depende muito de elementos <div>. Elementos semânticos como <section>, <nav>, <header>, <footer> e <aside> fornecem uma estrutura significativa para agentes de IA.
Como implementar
Substitua contentores <div> genéricos por elementos semânticos apropriados. Use <section> para grupos temáticos, <nav> para navegação, <header>/<footer> para cabeçalhos e rodapés de página/secção.
O que medimos 2/3 OG tags present
Tags Open Graph em falta ou incompletas. As tags OG ajudam os agentes de IA (e plataformas sociais) a compreender o título, descrição e imagem da sua página.
Como implementar
Adicione meta tags og:title, og:description e og:image ao <head> da sua página.
O que medimos 4/275 elements with inline styles (1.5%)
Muitos elementos têm atributos de estilo inline. Estes adicionam ruído para agentes de IA que extraem conteúdo.
Como implementar
Mova todos os estilos inline para classes CSS na sua folha de estilos. Use frameworks CSS utilitários como Tailwind se precisar de muitos estilos únicos.
## 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)
Carregue este ficheiro como /index.md no seu servidor para que os agentes de IA possam aceder a uma versão limpa da sua página. Também pode configurar a negociação de conteúdo Accept: text/markdown para o servir automaticamente.
llms.txt gerado para esta página individual
# 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/)
O llms.txt completo requer análise de todo o domínio (em breve)
Carregue este ficheiro como https://omniasec.ai/llms.txt na raiz do seu domínio. Agentes de IA como ChatGPT, Claude e Perplexity verificam este ficheiro para compreender a estrutura do seu site.
Acessibilidade
Content available without JavaScript
Main content starts at 22% of HTML
Page size: 35KB
Descobribilidade IA
All major AI search bots allowed
No sitemap found
robots.txt exists
No llms.txt found
Dados Estruturados
No JSON-LD / Schema.org found
2/3 OG tags present
Meta description too short: 5 chars
No canonical URL
lang="en"
HTML Semântico
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
Eficiência de conteúdo
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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"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\">"
}
]
}
]
}
Use a nossa API para obter isto programaticamente (em breve)
Este JSON é para uso interno — ao contrário dos ficheiros Markdown e llms.txt, não se destina a ser carregado no seu site. Guarde-o como referência para acompanhar a sua pontuação ao longo do tempo, partilhe-o com a sua equipa de desenvolvimento ou integre-o no seu pipeline CI/CD.
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Em breve: Análise completa de domínio
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