URL analisado
https://www.hajzy.online/
Pontuação AI-Ready
71
/ C
Razoável
de 100
Poupança de tokens
Tokens HTML
4088
Tokens Markdown
191
Poupança
95%
Desdobramento da pontuação
HTML Semântico
85/100
Eficiência de conteúdo
78/100
Descobribilidade IA
35/100
Dados Estruturados
85/100
Acessibilidade
85/100
Protocolos emergentes
0 de 3 detetadosEndpoints well-known que os agentes de IA procuram. Detetado significa que um agente pode descobrir e conectar-se automaticamente ao seu serviço.
-
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card Anthropic
/.well-known/mcp.json -
A2A Agent Card Google
/.well-known/agent.json
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 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.
{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; 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', '; 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":"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 :\n# "}] }'>
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.
{\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});"}] }'>
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.
A sua estrutura de títulos tem problemas (níveis saltados ou múltiplos h1). Uma hierarquia limpa ajuda os agentes de IA a compreender a organização do conteúdo.
Como implementar
Certifique-se de que tem exatamente um <h1> por página e os títulos seguem uma ordem sequencial: h1 > h2 > h3. Não salte níveis (ex.: h1 diretamente para h3).
#1 Clinic SaaS in MENA ## Hajzy: Run Your Clinic with Intelligent Automation Hajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support. #### AI Assistant Automatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs. #### WhatsApp Native Reduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders. #### Bank-Grade Security Built on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation. ## Native Arabic & English Hajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow. - Right-to-Left (RTL) optimized UI - Localized AI Medical prompts - Bilingual invoice generation App Screenshot / Dashboard Mockup
Hajzy: Home - Modern Clinic Management System #1 Clinic SaaS in MENA# Hajzy: Run Your Clinic with Intelligent Automation Hajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support. [Start Free Trial](https://www.hajzy.online/Home/RequestDemo) [Explore Features](https://www.hajzy.online/Home/Features) #### AI Assistant Automatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs. #### WhatsApp Native Reduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders. #### Bank-Grade Security Built on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation. ## Native Arabic & English Hajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow. - Right-to-Left (RTL) optimized UI - Localized AI Medical prompts - Bilingual invoice generation App Screenshot / Dashboard Mockup
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
# hajzy.online > Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan. ## Documentation - [FAQ](https://www.hajzy.online/Home/FAQ) ## Main - [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder… - [Features](https://www.hajzy.online/Home/Features) - [Pricing](https://www.hajzy.online/Home/Pricing) - [About Us](https://www.hajzy.online/Home/About) - [Book Demo](https://www.hajzy.online/Home/RequestDemo) ## Support - [FAQ](https://www.hajzy.online/Home/FAQ) - [Contact](https://www.hajzy.online/Home/Contact)
O llms.txt completo requer análise de todo o domínio (em breve)
Carregue este ficheiro como https://www.hajzy.online/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.
HTML Semântico
Utiliza elemento article ou main
(100/100)
Has <main>
Hierarquia de títulos correta
(70/100)
2 heading level skip(s)
Utiliza elementos HTML semânticos
(61/100)
7 semantic elements, 31 divs (ratio: 18%)
Textos alt de imagens descritivos
(100/100)
No images found
Baixa profundidade de aninhamento de div
(100/100)
Avg div depth: 1.9, max: 4
Eficiência de conteúdo
Bom rácio de redução de tokens
(100/100)
95% token reduction (HTML→Markdown)
Bom rácio conteúdo-ruído
(25/100)
Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)
Estilos inline mínimos
(100/100)
0/155 elements with inline styles (0.0%)
Peso de página razoável
(100/100)
HTML size: 15KB
Descobribilidade IA
Tem ficheiro llms.txt
(0/100)
No llms.txt found
Tem ficheiro robots.txt
(100/100)
robots.txt exists
robots.txt permite bots de IA
(100/100)
All major AI bots allowed
Tem sitemap.xml
(100/100)
Sitemap found
Suporte a Markdown for Agents
(0/100)
✗ Accept: text/markdown
✗ .md URL
✗ <link> tag
✗ Link header
Tem Content-Signal (robots.txt ou cabeçalhos HTTP)
(0/100)
✓ robots.txt
✓ HTTP header
✗ Policy
Dados Estruturados
Tem Schema.org / JSON-LD
(50/100)
JSON-LD found but basic types: SoftwareApplication
Tem tags Open Graph
(100/100)
All OG tags present
Tem meta descrição
(100/100)
Meta description: 183 chars
Tem URL canónico
(100/100)
Canonical URL present
Tem atributo lang
(100/100)
lang="en"
Acessibilidade
Conteúdo disponível sem JavaScript
(100/100)
Content available without JavaScript
Tamanho de página razoável
(100/100)
Page size: 15KB
Conteúdo aparece cedo no HTML
(50/100)
Main content starts at 45% of HTML
{
"url": "https://www.hajzy.online/",
"timestamp": 1777741953331,
"fetch": {
"mode": "simple",
"timeMs": 252,
"htmlSizeBytes": 15583,
"supportsMarkdown": false,
"markdownAgents": {
"contentNegotiation": false,
"mdUrl": {
"found": false,
"url": null
},
"linkTag": {
"found": false,
"url": null
},
"linkHeader": {
"found": false,
"url": null
},
"responseHeaders": {
"contentSignal": null,
"xMarkdownTokens": null,
"vary": null
},
"frontmatter": {
"present": false,
"fields": [],
"level": "none"
},
"level": "none"
},
"statusCode": 200
},
"extraction": {
"title": "Home - Hajzy.online",
"excerpt": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
"byline": "Hajzy.online",
"siteName": null,
"lang": "en",
"contentLength": 1478,
"metadata": {
"description": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
"ogTitle": "Home - Hajzy.online",
"ogDescription": "Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.",
"ogImage": "https://hajzy.online/img/og-image.png",
"ogType": "website",
"canonical": "https://hajzy.online/",
"lang": "en",
"schemas": [
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Hajzy.online",
"url": "https://hajzy.online",
"applicationCategory": "HealthApplication",
"operatingSystem": "Web",
"description": "A cloud-native clinic management SaaS for scheduling, EMR, and billing across the MENA region.",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
},
"contactPoint": {
"@type": "ContactPoint",
"telephone": "+962771551881",
"contactType": "customer support",
"areaServed": [
"JO",
"SA",
"AE",
"KW",
"BH",
"QA",
"EG"
],
"availableLanguage": [
"Arabic",
"English"
]
},
"address": {
"@type": "PostalAddress",
"addressLocality": "Amman",
"addressCountry": "JO"
}
}
],
"robotsMeta": "index, follow",
"author": "Hajzy.online",
"generator": null,
"markdownAlternateHref": null
}
},
"markdown": "#1 Clinic SaaS in MENA\n\n## Hajzy: Run Your Clinic with\nIntelligent Automation\n\nHajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.\n\n#### AI Assistant\n\nAutomatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.\n\n#### WhatsApp Native\n\nReduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.\n\n#### Bank-Grade Security\n\nBuilt on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.\n\n## Native Arabic & English\n\nHajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.\n\n- Right-to-Left (RTL) optimized UI\n- Localized AI Medical prompts\n- Bilingual invoice generation\n\nApp Screenshot / Dashboard Mockup\n",
"fullPageMarkdown": "Hajzy: Home - Modern Clinic Management System\n\n#1 Clinic SaaS in MENA# Hajzy: Run Your Clinic with\nIntelligent Automation\n\nHajzy is the premium multi-tenant EMR platform equipped with an AI Medical Assistant, automated WhatsApp reminders, and flawless RTL Arabic support.\n\n[Start Free Trial](https://www.hajzy.online/Home/RequestDemo) [Explore Features](https://www.hajzy.online/Home/Features)\n\n#### AI Assistant\n\nAutomatically generate structured clinical notes, diagnose suggestions, and summaries from your free-text inputs.\n\n#### WhatsApp Native\n\nReduce no-shows by 40% with automated, localized WhatsApp appointment confirmations and reminders.\n\n#### Bank-Grade Security\n\nBuilt on Microsoft SQL Server with strict Row-Level Security ensuring absolute tenant data isolation.\n\n## Native Arabic & English\n\nHajzy is the leading medical management system designed from the ground up to support RTL layouts natively. Switch instantly between Arabic and English without breaking your workflow.\n\n- Right-to-Left (RTL) optimized UI\n- Localized AI Medical prompts\n- Bilingual invoice generation\n\nApp Screenshot / Dashboard Mockup\n",
"markdownStats": {
"images": 0,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 5
},
"tokens": {
"htmlTokens": 4088,
"markdownTokens": 191,
"reduction": 3897,
"reductionPercent": 95
},
"score": {
"score": 71,
"grade": "C",
"dimensions": {
"semanticHtml": {
"score": 85,
"weight": 20,
"grade": "B",
"checks": {
"uses_article_or_main": {
"score": 100,
"weight": 20,
"details": "Has <main>"
},
"proper_heading_hierarchy": {
"score": 70,
"weight": 25,
"details": "2 heading level skip(s)"
},
"semantic_elements": {
"score": 61,
"weight": 20,
"details": "7 semantic elements, 31 divs (ratio: 18%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"details": "No images found"
},
"low_div_nesting": {
"score": 100,
"weight": 20,
"details": "Avg div depth: 1.9, max: 4"
}
}
},
"contentEfficiency": {
"score": 78,
"weight": 25,
"grade": "B",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"details": "95% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 25,
"weight": 30,
"details": "Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)"
},
"minimal_inline_styles": {
"score": 100,
"weight": 15,
"details": "0/155 elements with inline styles (0.0%)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 15,
"details": "HTML size: 15KB"
}
}
},
"aiDiscoverability": {
"score": 35,
"weight": 25,
"grade": "F",
"checks": {
"has_llms_txt": {
"score": 0,
"weight": 20,
"details": "No llms.txt found"
},
"has_robots_txt": {
"score": 100,
"weight": 10,
"details": "robots.txt exists"
},
"robots_allows_ai_bots": {
"score": 100,
"weight": 15,
"details": "All major AI bots allowed"
},
"has_sitemap": {
"score": 100,
"weight": 10,
"details": "Sitemap found"
},
"supports_markdown_negotiation": {
"score": 0,
"weight": 25,
"details": "No Markdown for Agents support detected"
},
"has_content_signals": {
"score": 0,
"weight": 20,
"details": "No Content-Signal found (robots.txt or HTTP headers)"
}
}
},
"structuredData": {
"score": 85,
"weight": 15,
"grade": "B",
"checks": {
"has_schema_org": {
"score": 50,
"weight": 30,
"details": "JSON-LD found but basic types: SoftwareApplication"
},
"has_open_graph": {
"score": 100,
"weight": 25,
"details": "All OG tags present"
},
"has_meta_description": {
"score": 100,
"weight": 20,
"details": "Meta description: 183 chars"
},
"has_canonical_url": {
"score": 100,
"weight": 15,
"details": "Canonical URL present"
},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"details": "lang=\"en\""
}
}
},
"accessibility": {
"score": 85,
"weight": 15,
"grade": "B",
"checks": {
"content_without_js": {
"score": 100,
"weight": 40,
"details": "Content available without JavaScript"
},
"reasonable_page_size": {
"score": 100,
"weight": 30,
"details": "Page size: 15KB"
},
"fast_content_position": {
"score": 50,
"weight": 30,
"details": "Main content starts at 45% of HTML"
}
}
}
}
},
"recommendations": [
{
"id": "add_llms_txt",
"priority": "critical",
"category": "aiDiscoverability",
"titleKey": "rec.add_llms_txt.title",
"descriptionKey": "rec.add_llms_txt.description",
"howToKey": "rec.add_llms_txt.howto",
"effort": "quick-win",
"estimatedImpact": 10,
"checkScore": 0,
"checkDetails": "No llms.txt found"
},
{
"id": "add_markdown_negotiation",
"priority": "critical",
"category": "aiDiscoverability",
"titleKey": "rec.add_markdown_negotiation.title",
"descriptionKey": "rec.add_markdown_negotiation.description",
"howToKey": "rec.add_markdown_negotiation.howto",
"effort": "significant",
"estimatedImpact": 6,
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"id": "add_content_signals",
"priority": "critical",
"category": "aiDiscoverability",
"titleKey": "rec.add_content_signals.title",
"descriptionKey": "rec.add_content_signals.description",
"howToKey": "rec.add_content_signals.howto",
"effort": "quick-win",
"estimatedImpact": 5,
"checkScore": 0,
"checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
},
{
"id": "improve_content_ratio",
"priority": "high",
"category": "contentEfficiency",
"titleKey": "rec.improve_content_ratio.title",
"descriptionKey": "rec.improve_content_ratio.description",
"howToKey": "rec.improve_content_ratio.howto",
"effort": "moderate",
"estimatedImpact": 6,
"checkScore": 25,
"checkDetails": "Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)"
},
{
"id": "fix_heading_hierarchy",
"priority": "medium",
"category": "semanticHtml",
"titleKey": "rec.fix_heading_hierarchy.title",
"descriptionKey": "rec.fix_heading_hierarchy.description",
"howToKey": "rec.fix_heading_hierarchy.howto",
"effort": "quick-win",
"estimatedImpact": 6,
"checkScore": 70,
"checkDetails": "2 heading level skip(s)"
}
],
"llmsTxtPreview": "# hajzy.online\n\n> Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.\n\n## Documentation\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n\n## Main\n- [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder…\n- [Features](https://www.hajzy.online/Home/Features)\n- [Pricing](https://www.hajzy.online/Home/Pricing)\n- [About Us](https://www.hajzy.online/Home/About)\n- [Book Demo](https://www.hajzy.online/Home/RequestDemo)\n\n## Support\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n- [Contact](https://www.hajzy.online/Home/Contact)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthDiscovery": {
"exists": false,
"url": "https://www.hajzy.online/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://www.hajzy.online/.well-known/mcp.json"
},
"a2aAgentCard": {
"exists": false,
"url": "https://www.hajzy.online/.well-known/agent.json"
},
"count": 0
},
"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": "# hajzy.online\n\n> Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminders, and bilingual Arabic/English support. Based in Amman, Jordan.\n\n## Documentation\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n\n## Main\n- [Home - Hajzy.online](https://www.hajzy.online/): Hajzy.online is the leading clinic management SaaS for MENA — AI-powered EMR, appointment scheduling, WhatsApp reminder…\n- [Features](https://www.hajzy.online/Home/Features)\n- [Pricing](https://www.hajzy.online/Home/Pricing)\n- [About Us](https://www.hajzy.online/Home/About)\n- [Book Demo](https://www.hajzy.online/Home/RequestDemo)\n\n## Support\n- [FAQ](https://www.hajzy.online/Home/FAQ)\n- [Contact](https://www.hajzy.online/Home/Contact)\n\n",
"filename": "/llms.txt"
},
{
"id": "fix_heading_hierarchy",
"title": "Fix heading hierarchy",
"description": "Your page has 1 <h1> elements. Keep only one. Demote the rest to <h2>.",
"language": "html",
"code": "<!-- Keep only one <h1> per page -->\n<h1>Home - Hajzy.online</h1>",
"filename": "<main> or <article>"
},
{
"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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