인증된 AgentReady.md 증명서
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분석된 URL

https://grapheneos.org

측정: 2주 전

다른 URL 분석

AI-Ready 점수

보통

/ 100

토큰 절감량

HTML 토큰 1812
Markdown 토큰 703
절감 61%

점수 상세

시맨틱 HTML 85/100
콘텐츠 효율성 92/100
AI 발견 가능성 35/100
구조화 데이터 70/100
접근성 93/100

신흥 프로토콜

6개 중 0개 감지

AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.

  • OAuth Protected Resource RFC 9728
    /.well-known/oauth-protected-resource
  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card SEP-1649 draft
    /.well-known/mcp/server-card.json
  • A2A Agent Card A2A v1.0
    /.well-known/agent-card.json
  • API Catalog RFC 9727
    /.well-known/api-catalog
  • Agent Skills index Discovery RFC v0.2.0 draft
    /.well-known/agent-skills/index.json

이 점수는 그대로 있지 않습니다. 모니터링은 아직 없습니다. 명단에 등록하면 출시할 때 알려드립니다.

명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.

측정 결과 No llms.txt found

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No Markdown for Agents support detected

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No Content-Signal found (robots.txt or HTTP headers)

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.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 0/4 images with meaningful alt text

일부 이미지에 설명적인 alt 속성이 없습니다. 좋은 alt 속성은 AI 에이전트가 이미지 내용과 맥락을 이해하는 데 도움을 줍니다.

구현 방법

모든 이미지에 설명적인 alt 속성을 추가하세요. '이미지'나 '사진'이 아닌 이미지가 보여주는 내용을 설명하세요. 장식용 이미지에는 alt="" (빈 값)을 사용하세요.

코딩 에이전트에 붙여넣어 수정하게 하세요

측정 결과 No JSON-LD / Schema.org found

Schema.org 구조화 데이터를 찾을 수 없습니다. JSON-LD는 AI 에이전트가 페이지에서 사실 기반의 구조화 정보를 추출하는 데 도움을 줍니다.

구현 방법

Schema.org 마크업이 포함된 <script type="application/ld+json"> 블록을 추가하세요. 적절한 유형을 사용하세요: 블로그 게시물에는 Article, 제품 페이지에는 Product, 회사 페이지에는 Organization.

코딩 에이전트에 붙여넣어 수정하게 하세요
Markdown 토큰: 703
The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project.

[Install GrapheneOS](https://grapheneos.org/install/)

![](https://grapheneos.org/f979bf77.pixel-7-pro.svg)

## [About](https://grapheneos.org/#about)

GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados).

GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX.

The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page.

Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/).

GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS.

## [No Google apps or services](https://grapheneos.org/#never-google-services)

GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps.

## [Device support](https://grapheneos.org/faq#device-support)

See [the FAQ section on device support](https://grapheneos.org/faq#device-support).
GrapheneOS: the private and secure mobile OS

# [GrapheneOS](https://grapheneos.org/#grapheneos)

The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project.

[Install GrapheneOS](https://grapheneos.org/install/)

![](https://grapheneos.org/f979bf77.pixel-7-pro.svg)

Get to know GrapheneOS

## [About](https://grapheneos.org/#about)

GrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados).

GrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX.

The [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page.

Official releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/).

GrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS.

## [No Google apps or services](https://grapheneos.org/#never-google-services)

GrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps.

## [Device support](https://grapheneos.org/faq#device-support)

See [the FAQ section on device support](https://grapheneos.org/faq#device-support).

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

llms.txt 다운로드
# GrapheneOS

> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.

## Documentation
- [FAQ](https://grapheneos.org/faq)

## Main
- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.
- [Features](https://grapheneos.org/features)
- [GrapheneOS](https://grapheneos.org/)
- [Install](https://grapheneos.org/install/)
- [Build](https://grapheneos.org/build)
- [Usage](https://grapheneos.org/usage)
- [Releases](https://grapheneos.org/releases)
- [Source](https://grapheneos.org/source)
- [History](https://grapheneos.org/history/)
- [Donate](https://grapheneos.org/donate)

## Blog
- [Articles](https://grapheneos.org/articles/)

## Support
- [FAQ](https://grapheneos.org/faq)
- [Contact](https://grapheneos.org/contact)

전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)

이 파일을 도메인 루트의 https://grapheneos.org/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 (100/100)

Clean heading hierarchy

시맨틱 HTML 요소 사용 (100/100)

8 semantic elements, 5 divs (ratio: 62%)

의미 있는 이미지 alt 속성 (0/100)

0/4 images with meaningful alt text

낮은 div 중첩 깊이 (100/100)

Avg div depth: 0.4, max: 1

콘텐츠 효율성

양호한 토큰 감소율 (80/100)

61% token reduction (HTML→Markdown)

양호한 콘텐츠 대 잡음 비율 (100/100)

Content ratio: 41.1% (2876 content chars / 6997 HTML bytes)

최소한의 인라인 스타일 (100/100)

0/124 elements with inline styles (0.0%)

적절한 페이지 무게 (100/100)

HTML size: 7KB

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)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Content-Signal 있음 (robots.txt 또는 HTTP 헤더) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

구조화 데이터

Schema.org / JSON-LD 있음 (0/100)

No JSON-LD / Schema.org found

Open Graph 태그 있음 (100/100)

All OG tags present

메타 설명 있음 (100/100)

Meta description: 86 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: 7KB

HTML에서 콘텐츠가 빠른 위치에 배치 (75/100)

Main content starts at 33% of HTML

{
  "url": "https://grapheneos.org",
  "timestamp": 1783252037087,
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    "lang": "en",
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    "metadata": {
      "description": "GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.",
      "ogTitle": "GrapheneOS: the private and secure mobile OS",
      "ogDescription": "GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.",
      "ogImage": "https://grapheneos.org/opengraph.png",
      "ogType": "website",
      "canonical": "https://grapheneos.org/",
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      "schemas": [],
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  "markdown": "The private and secure mobile operating system with Android app compatibility. Developed as a non-profit open source project.\n\n[Install GrapheneOS](https://grapheneos.org/install/)\n\n![](https://grapheneos.org/f979bf77.pixel-7-pro.svg)\n\n## [About](https://grapheneos.org/#about)\n\nGrapheneOS is a privacy and security focused mobile OS with Android app compatibility developed as a non-profit [open source](https://grapheneos.org/source) project. It's focused on the research and development of privacy and security technology including substantial improvements to sandboxing, exploit mitigations and the permission model. It was founded in 2014 and was [formerly known as CopperheadOS](https://grapheneos.org/history/copperheados).\n\nGrapheneOS improves the privacy and security of the OS from the bottom up. It deploys technologies to mitigate whole classes of vulnerabilities and make exploiting the most common sources of vulnerabilities substantially more difficult. It improves the security of both the OS and the apps running on it. The app sandbox and other security boundaries are fortified. GrapheneOS tries to avoid impacting the user experience with the privacy and security features. Ideally, the features can be designed so that they're always enabled with no impact on the user experience and no additional complexity like configuration options. It's not always feasible, and GrapheneOS does add various toggles for features like the Network permission, Sensors permission, restrictions when the device is locked (USB-C and pogo pins, camera, quick tiles), etc. along with more complex user-facing privacy and security features with their own UX.\n\nThe [features page](https://grapheneos.org/features) provides an overview of the substantial privacy and security improvements added by GrapheneOS to the Android Open Source Project (AOSP). Many of our past features were [contributed to AOSP, Linux and other projects to improve privacy and security for billions of users](https://grapheneos.org/faq#upstream) so they're no longer listed on our features page.\n\nOfficial releases are available on the [releases page](https://grapheneos.org/releases) and installation instructions are on the [install page](https://grapheneos.org/install/).\n\nGrapheneOS also develops various apps and services with a focus on privacy and security. Vanadium is a hardened variant of the Chromium browser and WebView specifically built for GrapheneOS. GrapheneOS also includes our minimal security-focused PDF Viewer, our hardware-based Auditor app providing local and remote verification and attestation of devices, our modern privacy and security focused camera app, and the externally developed Seedvault encrypted backup which was initially developed for inclusion in GrapheneOS.\n\n## [No Google apps or services](https://grapheneos.org/#never-google-services)\n\nGrapheneOS will never include either Google Play services or another implementation of Google services like microG. It's possible to install Play services as a set of fully sandboxed apps without special privileges via our [sandboxed Google Play compatibility layer](https://grapheneos.org/usage#sandboxed-google-play). See [the FAQ section](https://grapheneos.org/faq#google-services) for more details on our plans for filling in the gaps from not shipping Play services and Google apps.\n\n## [Device support](https://grapheneos.org/faq#device-support)\n\nSee [the FAQ section on device support](https://grapheneos.org/faq#device-support).\n",
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        }
      },
      "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": 70,
        "weight": 15,
        "grade": "C",
        "checks": {
          "has_schema_org": {
            "score": 0,
            "weight": 30,
            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "details": "Meta description: 86 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "details": "Canonical URL present"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 93,
        "weight": 15,
        "grade": "A",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 7KB"
          },
          "fast_content_position": {
            "score": 75,
            "weight": 30,
            "details": "Main content starts at 33% 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_alt_texts",
      "priority": "critical",
      "category": "semanticHtml",
      "titleKey": "rec.improve_alt_texts.title",
      "descriptionKey": "rec.improve_alt_texts.description",
      "howToKey": "rec.improve_alt_texts.howto",
      "effort": "moderate",
      "estimatedImpact": 4,
      "checkScore": 0,
      "checkDetails": "0/4 images with meaningful alt text"
    },
    {
      "id": "add_schema_org",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    }
  ],
  "llmsTxtPreview": "# GrapheneOS\n\n> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n\n## Documentation\n- [FAQ](https://grapheneos.org/faq)\n\n## Main\n- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n- [Features](https://grapheneos.org/features)\n- [GrapheneOS](https://grapheneos.org/)\n- [Install](https://grapheneos.org/install/)\n- [Build](https://grapheneos.org/build)\n- [Usage](https://grapheneos.org/usage)\n- [Releases](https://grapheneos.org/releases)\n- [Source](https://grapheneos.org/source)\n- [History](https://grapheneos.org/history/)\n- [Donate](https://grapheneos.org/donate)\n\n## Blog\n- [Articles](https://grapheneos.org/articles/)\n\n## Support\n- [FAQ](https://grapheneos.org/faq)\n- [Contact](https://grapheneos.org/contact)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://grapheneos.org/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://grapheneos.org/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://grapheneos.org/.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": "# GrapheneOS\n\n> GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n\n## Documentation\n- [FAQ](https://grapheneos.org/faq)\n\n## Main\n- [GrapheneOS: the private and secure mobile OS](https://grapheneos.org): GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\n- [Features](https://grapheneos.org/features)\n- [GrapheneOS](https://grapheneos.org/)\n- [Install](https://grapheneos.org/install/)\n- [Build](https://grapheneos.org/build)\n- [Usage](https://grapheneos.org/usage)\n- [Releases](https://grapheneos.org/releases)\n- [Source](https://grapheneos.org/source)\n- [History](https://grapheneos.org/history/)\n- [Donate](https://grapheneos.org/donate)\n\n## Blog\n- [Articles](https://grapheneos.org/articles/)\n\n## Support\n- [FAQ](https://grapheneos.org/faq)\n- [Contact](https://grapheneos.org/contact)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"GrapheneOS: the private and secure mobile OS\",\n  \"description\": \"GrapheneOS is a security and privacy focused mobile OS with Android app compatibility.\",\n  \"url\": \"https://grapheneos.org\",\n  \"inLanguage\": \"en\",\n  \"isPartOf\": {\n    \"@type\": \"WebSite\",\n    \"name\": \"GrapheneOS\"\n  }\n}\n</script>",
      "filename": "<head>"
    },
    {
      "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.

결과 공유

또는 AI에게 개선 방법을 물어보세요

다른 의견도 들어보시겠어요?

Cloudflare에도 무료 스캐너가 있는데, 던지는 질문이 다릅니다. 그쪽은 에이전트가 호출할 수 있도록 사이트가 게시한 것(MCP 서버 카드, Agent Skills, API 카탈로그, DNS 레코드)을 채점합니다. 저희는 에이전트가 콘텐츠에 도달해 읽고 이해할 수 있는지를 채점합니다. 한쪽은 좋고 다른 쪽은 나쁠 수 있으니 두 점수가 다른 것은 당연합니다. 서로 다른 질문에 대한 답이고, 둘 다 알아둘 가치가 있습니다.

Cloudflare로 grapheneos.org 검사하기

배지 삽입

이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.

AgentReady.md score for grapheneos.org
Script 권장
<script src="https://agentready.md/badge.js" data-id="c9c6ac68-8fbc-4b47-84ac-00778dafbb81" data-domain="grapheneos.org"></script>
Markdown
[![AgentReady.md score for grapheneos.org](https://agentready.md/badge/grapheneos.org.svg)](https://agentready.md/ko/r/c9c6ac68-8fbc-4b47-84ac-00778dafbb81)

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.