Verifiziertes AgentReady.md-Zertifikat
Ausgestellt am sig: d9b5370f5f0ffa10 Verifizieren →

Analysierte URL

https://www.hajzy.online/

Weitere URL analysieren

KI-Ready Score

71 / C

Befriedigend

von 100

Token-Einsparung

HTML-Tokens 4088
Markdown-Tokens 191
Einsparung 95%

Score-Aufschlüsselung

Semantisches HTML 85/100
Inhaltseffizienz 78/100
KI-Auffindbarkeit 35/100
Strukturierte Daten 85/100
Zugänglichkeit 85/100

Emerging Protocols

0 von 3 erkannt

Well-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.

  • 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

Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.

So implementieren Sie es

Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.

Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.

So implementieren Sie es

Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.

{\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# "}] }'>

Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.

So implementieren Sie es

Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.

{\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});"}] }'>

Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.

So implementieren Sie es

Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.

Ihre Überschriftenstruktur hat Probleme (übersprungene Ebenen oder mehrere h1-Tags). Eine saubere Hierarchie hilft KI-Agenten, die Inhaltsorganisation zu verstehen.

So implementieren Sie es

Stellen Sie sicher, dass Sie genau ein <h1> pro Seite haben und die Überschriften einer sequentiellen Reihenfolge folgen: h1 > h2 > h3. Überspringen Sie keine Ebenen (z.B. h1 direkt zu h3).

Markdown-Tokens: 191 
#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

Laden Sie diese Datei als /index.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.

Generierte llms.txt für diese einzelne Seite

llms.txt herunterladen 
# 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)

Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)

Laden Sie diese Datei als https://www.hajzy.online/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.

Semantisches HTML

Verwendet article- oder main-Element (100/100)

Has <main>

Korrekte Überschriftenhierarchie (70/100)

2 heading level skip(s)

Verwendet semantische HTML-Elemente (61/100)

7 semantic elements, 31 divs (ratio: 18%)

Aussagekräftige Bild-Alt-Texte (100/100)

No images found

Geringe div-Verschachtelungstiefe (100/100)

Avg div depth: 1.9, max: 4

Inhaltseffizienz

Gutes Token-Reduktionsverhältnis (100/100)

95% token reduction (HTML→Markdown)

Gutes Inhalt-zu-Rausch-Verhältnis (25/100)

Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)

Minimale Inline-Styles (100/100)

0/155 elements with inline styles (0.0%)

Angemessenes Seitengewicht (100/100)

HTML size: 15KB

KI-Auffindbarkeit

Hat llms.txt-Datei (0/100)

No llms.txt found

Hat robots.txt-Datei (100/100)

robots.txt exists

robots.txt erlaubt KI-Bots (100/100)

All major AI bots allowed

Hat sitemap.xml (100/100)

Sitemap found

Markdown for Agents Unterstützung (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Hat Content-Signal (robots.txt oder HTTP-Header) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Strukturierte Daten

Hat Schema.org / JSON-LD (50/100)

JSON-LD found but basic types: SoftwareApplication

Hat Open-Graph-Tags (100/100)

All OG tags present

Hat Meta-Beschreibung (100/100)

Meta description: 183 chars

Hat kanonische URL (100/100)

Canonical URL present

Hat lang-Attribut (100/100)

lang="en"

Zugänglichkeit

Inhalt ohne JavaScript verfügbar (100/100)

Content available without JavaScript

Angemessene Seitengröße (100/100)

Page size: 15KB

Inhalt erscheint früh im 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\">"
        }
      ]
    }
  ]
}

Nutzen Sie unsere API, um dies programmatisch abzurufen (kommt bald)

Dieses JSON ist für den internen Gebrauch bestimmt — im Gegensatz zu den Markdown- und llms.txt-Dateien soll es nicht auf Ihre Website hochgeladen werden. Speichern Sie es als Ausgangswert, um Ihren Score im Zeitverlauf zu verfolgen, teilen Sie es mit Ihrem Entwicklerteam oder integrieren Sie es in Ihre CI/CD-Pipeline.

Teilen Sie Ihre Ergebnisse

Twitter LinkedIn

Badge einbetten

Fügen Sie dieses Badge zu Ihrer Website hinzu. Es aktualisiert sich automatisch, wenn sich Ihr KI-Bereitschafts-Score ändert.

AgentReady.md score for www.hajzy.online
Script Empfohlen 
<script src="https://agentready.md/badge.js" data-id="fb7178f5-9729-49c9-b3f4-21f7d8942efd" data-domain="www.hajzy.online"></script>
Markdown 
[![AgentReady.md score for www.hajzy.online](https://agentready.md/badge/www.hajzy.online.svg)](https://agentready.md/de/r/fb7178f5-9729-49c9-b3f4-21f7d8942efd)

Demnächst: Vollständige Domain-Analyse

Crawlen Sie Ihre gesamte Domain, generieren Sie llms.txt und überwachen Sie Ihren KI-Bereitschaftswert im Zeitverlauf. Tragen Sie sich in die Warteliste ein.

✓ Sie stehen auf der Liste! Wir benachrichtigen Sie, sobald es verfügbar ist.