URL analizzato
https://www.hajzy.online/
Punteggio AI-Ready
71
/ C
Discreto
su 100
Risparmio di token
Token HTML
4088
Token Markdown
191
Risparmio
95%
Dettaglio del punteggio
HTML Semantico
85/100
Efficienza dei contenuti
78/100
Scopribilità IA
35/100
Dati Strutturati
85/100
Accessibilità
85/100
Protocolli emergenti
0 di 3 rilevatiEndpoint well-known cercati dagli agenti IA. Rilevato significa che un agente può scoprire e connettersi automaticamente al tuo servizio.
-
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
Il tuo sito non ha un file llms.txt. Questo è lo standard emergente per aiutare gli agenti IA a comprendere la struttura del tuo sito.
Come implementare
Crea un file /llms.txt seguendo la specifica llmstxt.org. Includi una descrizione del sito e link alle tue pagine principali.
Il tuo sito non supporta Markdown for Agents. Questo standard Cloudflare permette agli agenti IA di richiedere contenuti in formato markdown, riducendo l'uso dei token di ~80%.
Come implementare
Implementa uno o più: (1) Rispondere a Accept: text/markdown con contenuto markdown. (2) Servire URL .md (es: /pagina.md). (3) Aggiungere tag <link rel="alternate" type="text/markdown">. (4) Aggiungere header HTTP Link per la scoperta 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# "}] }'>
Nessuna direttiva Content-Signal trovata. Queste indicano agli agenti IA come possono usare i tuoi contenuti (indicizzazione, input IA, dati di addestramento). La posizione consigliata è robots.txt.
Come implementare
Aggiungi Content-Signal al tuo robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Puoi anche aggiungerlo come header HTTP nelle risposte 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});"}] }'>
La tua pagina ha un basso rapporto tra contenuto reale e HTML totale. Gran parte del peso della pagina è markup, script o stili anziché contenuto.
Come implementare
Sposta i CSS in fogli di stile esterni, rimuovi gli stili inline, minimizza JavaScript e assicurati che l'HTML si concentri sulla struttura del contenuto.
La struttura delle intestazioni presenta problemi (livelli saltati o tag h1 multipli). Una gerarchia pulita aiuta gli agenti IA a comprendere l'organizzazione dei contenuti.
Come implementare
Assicurati di avere esattamente un <h1> per pagina e che le intestazioni seguano un ordine sequenziale: h1 > h2 > h3. Non saltare livelli (es. da h1 direttamente a 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
Carica questo file come /index.md sul tuo server affinché gli agenti IA possano accedere a una versione pulita della tua pagina. Puoi anche configurare la negoziazione dei contenuti Accept: text/markdown per servirlo automaticamente.
llms.txt generato per questa singola pagina
# 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)
Il llms.txt completo richiede un'analisi dell'intero dominio (prossimamente)
Carica questo file come https://www.hajzy.online/llms.txt nella radice del tuo dominio. Agenti IA come ChatGPT, Claude e Perplexity controllano questo file per comprendere la struttura del tuo sito.
HTML Semantico
Utilizza elemento article o main
(100/100)
Has <main>
Gerarchia di intestazioni corretta
(70/100)
2 heading level skip(s)
Utilizza elementi HTML semantici
(61/100)
7 semantic elements, 31 divs (ratio: 18%)
Testi alt delle immagini significativi
(100/100)
No images found
Bassa profondità di annidamento div
(100/100)
Avg div depth: 1.9, max: 4
Efficienza dei contenuti
Buon rapporto di riduzione token
(100/100)
95% token reduction (HTML→Markdown)
Buon rapporto contenuto-rumore
(25/100)
Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)
Stili inline minimi
(100/100)
0/155 elements with inline styles (0.0%)
Peso della pagina ragionevole
(100/100)
HTML size: 15KB
Scopribilità IA
Ha file llms.txt
(0/100)
No llms.txt found
Ha file robots.txt
(100/100)
robots.txt exists
robots.txt consente bot IA
(100/100)
All major AI bots allowed
Ha sitemap.xml
(100/100)
Sitemap found
Supporto Markdown for Agents
(0/100)
✗ Accept: text/markdown
✗ .md URL
✗ <link> tag
✗ Link header
Ha Content-Signal (robots.txt o header HTTP)
(0/100)
✓ robots.txt
✓ HTTP header
✗ Policy
Dati Strutturati
Ha Schema.org / JSON-LD
(50/100)
JSON-LD found but basic types: SoftwareApplication
Ha tag Open Graph
(100/100)
All OG tags present
Ha meta descrizione
(100/100)
Meta description: 183 chars
Ha URL canonico
(100/100)
Canonical URL present
Ha attributo lang
(100/100)
lang="en"
Accessibilità
Contenuto disponibile senza JavaScript
(100/100)
Content available without JavaScript
Dimensione della pagina ragionevole
(100/100)
Page size: 15KB
Il contenuto appare presto nell'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\">"
}
]
}
]
}Usa la nostra API per ottenere questo programmaticamente (prossimamente)
Questo JSON è per uso interno — a differenza dei file Markdown e llms.txt, non è destinato ad essere caricato sul tuo sito. Salvalo come riferimento per monitorare il tuo punteggio nel tempo, condividilo con il tuo team di sviluppo o integralo nella tua pipeline CI/CD.
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