URL analysée
https://www.hajzy.online/
Score AI-Ready
71
/ C
Passable
sur 100
Économie de tokens
Tokens HTML
4088
Tokens Markdown
191
Économie
95%
Détail du score
HTML sémantique
85/100
Efficacité du contenu
78/100
Visibilité IA
35/100
Données structurées
85/100
Accessibilité
85/100
Protocoles émergents
0 sur 3 détectésEndpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.
-
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
Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.
Comment implémenter
Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.
Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.
Comment implémenter
Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.
{\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# "}] }'>
Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.
Comment implémenter
Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.
{\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});"}] }'>
Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.
Comment implémenter
Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.
La structure de vos titres présente des problèmes (niveaux sautés ou plusieurs balises h1). Une hiérarchie propre aide les AI agents à comprendre l’organisation du contenu.
Comment implémenter
Assurez-vous d’avoir exactement un <h1> par page et que les titres suivent un ordre séquentiel : h1 > h2 > h3. Ne sautez pas de niveaux (par ex. de h1 directement à 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
Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.
llms.txt généré pour cette page individuelle
# 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)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://www.hajzy.online/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.
HTML sémantique
Utilise les éléments article ou main
(100/100)
Has <main>
Hiérarchie de titres correcte
(70/100)
2 heading level skip(s)
Utilise des éléments HTML sémantiques
(61/100)
7 semantic elements, 31 divs (ratio: 18%)
Textes alternatifs descriptifs pour les images
(100/100)
No images found
Faible profondeur d’imbrication des divs
(100/100)
Avg div depth: 1.9, max: 4
Efficacité du contenu
Bon ratio de réduction de tokens
(100/100)
95% token reduction (HTML→Markdown)
Bon ratio contenu/bruit
(25/100)
Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)
Styles en ligne minimaux
(100/100)
0/155 elements with inline styles (0.0%)
Poids de page raisonnable
(100/100)
HTML size: 15KB
Visibilité IA
Possède un fichier llms.txt
(0/100)
No llms.txt found
Possède un fichier robots.txt
(100/100)
robots.txt exists
robots.txt autorise les bots IA
(100/100)
All major AI bots allowed
Possède un sitemap.xml
(100/100)
Sitemap found
Support Markdown for Agents
(0/100)
✗ Accept: text/markdown
✗ .md URL
✗ <link> tag
✗ Link header
A Content-Signal (robots.txt ou en-têtes HTTP)
(0/100)
✓ robots.txt
✓ HTTP header
✗ Policy
Données structurées
Possède Schema.org / JSON-LD
(50/100)
JSON-LD found but basic types: SoftwareApplication
Possède des balises Open Graph
(100/100)
All OG tags present
Possède une meta description
(100/100)
Meta description: 183 chars
Possède une URL canonique
(100/100)
Canonical URL present
Possède un attribut lang
(100/100)
lang="en"
Accessibilité
Contenu disponible sans JavaScript
(100/100)
Content available without JavaScript
Taille de page raisonnable
(100/100)
Page size: 15KB
Le contenu apparaît tôt dans le 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\">"
}
]
}
]
}Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)
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