분석된 URL
https://www.hajzy.online/
AI-Ready 점수
71
/ C
보통
/ 100
토큰 절감량
HTML 토큰
4088
Markdown 토큰
191
절감
95%
점수 상세
시맨틱 HTML
85/100
콘텐츠 효율성
78/100
AI 발견 가능성
35/100
구조화 데이터
85/100
접근성
85/100
신흥 프로토콜
3개 중 0개 감지AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.
-
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
사이트에 llms.txt 파일이 없습니다. AI 에이전트가 사이트 구조를 이해하도록 돕는 새로운 표준입니다.
구현 방법
llmstxt.org 사양에 따라 /llms.txt 파일을 만드세요. 사이트 설명과 주요 페이지 링크를 포함하세요.
사이트가 Markdown for Agents를 지원하지 않습니다. 이 Cloudflare 표준을 통해 AI 에이전트가 마크다운 형식으로 콘텐츠를 요청할 수 있으며, 토큰 사용량을 ~80% 줄일 수 있습니다.
구현 방법
다음 중 하나 이상을 구현하세요: (1) Accept: text/markdown에 마크다운 콘텐츠로 응답. (2) .md URL 제공 (예: /page.md). (3) <link rel="alternate" type="text/markdown"> 태그 추가. (4) 마크다운 발견을 위한 Link HTTP 헤더 추가.
{\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# "}] }'>
Content-Signal 지시어가 발견되지 않았습니다. 이는 AI 에이전트에게 콘텐츠 사용 방법(검색 색인, AI 입력, 훈련 데이터)을 알려줍니다. 권장 위치는 robots.txt입니다.
구현 방법
robots.txt에 Content-Signal을 추가하세요: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. 마크다운 응답의 HTTP 헤더로도 추가할 수 있습니다.
{\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});"}] }'>
페이지의 실제 콘텐츠와 전체 HTML의 비율이 낮습니다. 페이지 무게의 상당 부분이 콘텐츠가 아닌 마크업, 스크립트, 스타일입니다.
구현 방법
CSS를 외부 스타일시트로 이동하고, 인라인 스타일을 제거하고, JavaScript를 최소화하고, HTML이 콘텐츠 구조에 집중하도록 하세요.
제목 구조에 문제가 있습니다 (레벨 건너뛰기 또는 다중 h1 태그). 깔끔한 계층 구조는 AI 에이전트가 콘텐츠 구성을 이해하는 데 도움을 줍니다.
구현 방법
페이지당 정확히 하나의 <h1>을 유지하고, 제목이 순차적 순서를 따르도록 하세요: h1 > h2 > h3. 레벨을 건너뛰지 마세요 (예: h1에서 바로 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
이 파일을 서버의 /index.md에 업로드하여 AI 에이전트가 페이지의 깔끔한 버전에 접근할 수 있게 하세요. Accept: text/markdown 콘텐츠 협상을 설정하여 자동으로 제공할 수도 있습니다.
이 단일 페이지용으로 생성된 llms.txt
# 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)
전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)
이 파일을 도메인 루트의 https://www.hajzy.online/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.
시맨틱 HTML
article 또는 main 요소 사용
(100/100)
Has <main>
올바른 제목 계층 구조
(70/100)
2 heading level skip(s)
시맨틱 HTML 요소 사용
(61/100)
7 semantic elements, 31 divs (ratio: 18%)
의미 있는 이미지 alt 속성
(100/100)
No images found
낮은 div 중첩 깊이
(100/100)
Avg div depth: 1.9, max: 4
콘텐츠 효율성
양호한 토큰 감소율
(100/100)
95% token reduction (HTML→Markdown)
양호한 콘텐츠 대 잡음 비율
(25/100)
Content ratio: 9.5% (1478 content chars / 15583 HTML bytes)
최소한의 인라인 스타일
(100/100)
0/155 elements with inline styles (0.0%)
적절한 페이지 무게
(100/100)
HTML size: 15KB
AI 발견 가능성
llms.txt 파일 있음
(0/100)
No llms.txt found
robots.txt 파일 있음
(100/100)
robots.txt exists
robots.txt가 AI 봇 허용
(100/100)
All major AI bots allowed
sitemap.xml 있음
(100/100)
Sitemap found
Markdown for Agents 지원
(0/100)
✗ Accept: text/markdown
✗ .md URL
✗ <link> tag
✗ Link header
Content-Signal 있음 (robots.txt 또는 HTTP 헤더)
(0/100)
✓ robots.txt
✓ HTTP header
✗ Policy
구조화 데이터
Schema.org / JSON-LD 있음
(50/100)
JSON-LD found but basic types: SoftwareApplication
Open Graph 태그 있음
(100/100)
All OG tags present
메타 설명 있음
(100/100)
Meta description: 183 chars
정규 URL 있음
(100/100)
Canonical URL present
lang 속성 있음
(100/100)
lang="en"
접근성
JavaScript 없이 콘텐츠 이용 가능
(100/100)
Content available without JavaScript
적절한 페이지 크기
(100/100)
Page size: 15KB
HTML에서 콘텐츠가 빠른 위치에 배치
(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\">"
}
]
}
]
}API를 사용하여 프로그래밍 방식으로 가져올 수 있습니다 (곧 출시)
이 JSON은 내부용입니다 — Markdown 및 llms.txt 파일과 달리 사이트에 업로드하기 위한 것이 아닙니다. 시간에 따른 점수 추적을 위한 기준값으로 저장하거나, 개발팀과 공유하거나, CI/CD 파이프라인에 통합하세요.
배지 삽입
이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.
Script 권장
<script src="https://agentready.md/badge.js" data-id="fb7178f5-9729-49c9-b3f4-21f7d8942efd" data-domain="www.hajzy.online"></script>
Markdown
[](https://agentready.md/ko/r/fb7178f5-9729-49c9-b3f4-21f7d8942efd)곧 출시: 전체 도메인 분석
전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.
✓ 명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.