분석된 URL
https://www.recombee.com/
AI-Ready 점수
보통
/ 100
토큰 절감량
점수 상세
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.
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.
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.
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.
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.
페이지가 <div> 요소에 크게 의존합니다. <section>, <nav>, <header>, <footer>, <aside> 같은 시맨틱 요소는 AI 에이전트에게 의미 있는 구조를 제공합니다.
구현 방법
범용 <div> 컨테이너를 적절한 시맨틱 요소로 교체하세요. 주제별 그룹에는 <section>, 내비게이션에는 <nav>, 페이지/섹션 헤더와 푸터에는 <header>/<footer>를 사용하세요.
페이지가 권장 크기보다 큽니다. 큰 페이지는 AI 에이전트에게 처리가 더 느리고 비용이 더 많이 듭니다.
구현 방법
HTML 최소화, 비핵심 스크립트 지연 로딩, 사용하지 않는 CSS 제거로 페이지 크기를 최적화하세요.
HTML 페이지가 권장 수준보다 무겁습니다. 큰 페이지는 AI 에이전트의 처리에 더 많은 시간과 토큰이 필요합니다.
구현 방법
사용하지 않는 코드 제거, HTML 최소화, 비핵심 콘텐츠 지연 로딩으로 HTML 크기를 줄이세요.
많은 요소에 인라인 스타일 속성이 있습니다. 이는 콘텐츠를 추출하는 AI 에이전트에게 잡음이 됩니다.
구현 방법
모든 인라인 스타일을 스타일시트의 CSS 클래스로 이동하세요. 많은 고유 스타일이 필요하면 Tailwind 같은 유틸리티 CSS 프레임워크를 사용하세요.
Trusted by 10,000+ sites and apps
Apply AI
## Empower your Platform
with AI Personalization
Explore a feature-rich Recommender & Search solution tailored for your unique use case.
Video AI Personalization
## Boost Engagement With Real-time
Video Recommendations
Become your user's favorite platform! Employ personalization software to increase watch time and build a foundation of loyal viewers.
Use Cases Examples





Fully Personalized Homepage
## Personalization Powerhouse helps you make a unique impression through a personalized user experience.
Why Recombee
## Top-Notch Technology Supporting Your Business


### Christoph Haas
EVP Product & Platform Engineering at DAZN
At DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience.
How It Works
## A Few Steps to Personalization

```
const client = new recombee.ApiClient('database-id', dbPublicToken);
// Send a view of item 'item_x' by user 'user_42'
client.send(new recombee.AddDetailView('user_42', 'item_x'));
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
const recommended = await client.send(
new recombee.RecommendItemsToUser('user_42', 5, { filter: "'expires' > now()" }),
);
```
## Shape the Future
Start Your Free 30-Day Trial Today.
- Increase KPIs
- Improve User Experience
- Maximize Profits
- Boost Customer Loyalty

AI-Powered Real-Time Recommender | Recombee
[](https://www.recombee.com/)
[Sign In](https://admin.recombee.com/sign-in)[Request Demo](https://www.recombee.com/request-demo)[Start Free \->](https://admin.recombee.com/sign-up)
# The Next-Gen
AI Recommender & Search
Become the architect of your success with our AI personalization engine designed to align with the visionary strategy of product managers and tech teams.
[Start Free \->](https://admin.recombee.com/sign-up)[Request Demo](https://www.recombee.com/request-demo)
Recommendations
Personalized Search
Insights & Analytics

Trusted by 10,000+ sites and apps
Apply AI
## Empower your Platform
with AI Personalization
Explore a feature-rich Recommender & Search solution tailored for your unique use case.
VideoE-commerceArticles, News, MediaDeal AggregatorsMusic, PodcastsMore
VideoE-commerceArticles, News, MediaDeal AggregatorsMusic, PodcastsReal EstateP2P MarketplacesTravel TripsRecruitmentOther Industries
Video AI Personalization
## Boost Engagement With Real-time
Video Recommendations
Become your user's favorite platform! Employ personalization software to increase watch time and build a foundation of loyal viewers.
[Explore More \->](https://www.recombee.com/domains/video)Watch Demo
Use Cases Examples
<-\->





Fully Personalized Homepage
## Personalization Powerhouse helps you make a unique impression through a personalized user experience.
[Recommendations
\->
](https://www.recombee.com/features/recommendations-search)
[Search
\->
](https://www.recombee.com/features/recommendations-search#personalized-semantic-search)[Perfect Flexibility](https://www.recombee.com/features/full-control-with-scenario-settings)
[Quick & Easy Integration](https://www.recombee.com/features/integration)[Analytics & Insights
\->
](https://www.recombee.com/features/real-time-analytics-insights)
Why Recombee
## Top-Notch Technology Supporting Your Business
### Full Control
#### Follow your product vision by setting specific behavior for each box with recommendations.

- Choose the **behavior of the model**, what can be recommended, and what shall be boosted
- **Express your custom filters** and boosters using our flexible ReQL language
- Use our **AI ReQL Assistant** to create any rules with ease
[Explore Full Control \->](https://www.recombee.com/features/full-control-with-scenario-settings)
### Easy Integration
#### Follow your product vision by setting specific behavior for each box with recommendations.

- **Use SDK** in your programming language to call our **REST API**
- **Integrate** using an HTML **low-code solution**
- Take advantage of our [extensive documentation\->](https://docs.recombee.com/)
- Get help from our **support team** whenever needed.
[Explore Integration \->](https://www.recombee.com/features/integration)
### Cutting Edge AI & Research
#### Benefit from unique features and inventions developed by our data scientists.

- Our data scientists frequently contribute to the most **prestigious conferences** in the field
- We transform the **latest innovations** from our data scientists and the scientific community into **product solutions**
- We ensure the highest quality of our recommendations through automatic **hyper-parameter optimization**
[Explore AI & Research \->](https://www.recombee.com/research)
### Scalability
#### Thanks to our horizontally scalable infrastructure, we recommend over a billion products, videos, articles, and other pieces of content every day.

- We can handle over **30k recommendations per second**
- We support large catalogs with **tens of millions of items**
- We ensure **low network latency** to your servers and customers by having multiple data centers strategically situated across the globe.
[Explore Scalability \->](https://www.recombee.com/how-it-works/performance-at-scale)
### ---
---
Full Control
#### Follow your product vision by setting specific behavior for each box with recommendations.
- Choose the **behavior of the model**, what can be recommended, and what shall be boosted
- **Express your custom filters** and boosters using our flexible ReQL language
- Use our **AI ReQL Assistant** to create any rules with ease
[Explore Full Control \->](https://www.recombee.com/features/full-control-with-scenario-settings)
### ---
---
Easy Integration
### ---
---
Cutting Edge AI & Research
### ---
---
Scalability



### Christoph Haas
EVP Product & Platform Engineering at DAZN
<-\->
At DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience.
[Case Studies \->](https://www.recombee.com/case-studies/)
How It Works
## A Few Steps to Personalization

## From Developers
to Developers
The recommendation engine is provided for multiple programming languages by
[RESTful API \->](https://docs.recombee.com/api)[API Clients \->](https://docs.recombee.com/api_clients)[No-Code Widgets \->](https://docs.recombee.com/no-code-widgets)[Widget SDK \->](https://docs.recombee.com/widget-sdks)
JavaScript
npm install recombee-js-api-client
[API Client](https://github.com/recombee/js-api-client)
```
const client = new recombee.ApiClient('database-id', dbPublicToken);
// Send a view of item 'item_x' by user 'user_42'
client.send(new recombee.AddDetailView('user_42', 'item_x'));
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
const recommended = await client.send(
new recombee.RecommendItemsToUser('user_42', 5, { filter: "'expires' > now()" }),
);
```
### Read & Watch
[Docs \->](https://docs.recombee.com/)[YouTube \->](https://www.youtube.com/@recombee)
## Shape the Future
Start Your Free 30-Day Trial Today.
- Increase KPIs
- Improve User Experience
- Maximize Profits
- Boost Customer Loyalty
[Start Free \->](https://admin.recombee.com/sign-up)Contact Us

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
# recombee.com > Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists. ## Documentation - [FAQ](https://www.recombee.com/faq) ## Main - [AI-Powered Real-Time Recommender](https://www.recombee.com/): Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists. - [FeaturesExplore features built for full control over recommendations and search](https://www.recombee.com/features) - [Personalized SearchImprove relevance of search results and save customers’ time](https://www.recombee.com/features/recommendations-search) - [Pricing](https://www.recombee.com/pricing) - [About UsMeet our team](https://www.recombee.com/about-us) - [Analytics & Insights](https://www.recombee.com/features/real-time-analytics-insights) - [Video](https://www.recombee.com/domains/video) - [E-commerce](https://www.recombee.com/domains/e-commerce) - [Deal Aggregators](https://www.recombee.com/domains/deal-aggregators) - [Music & Podcasts](https://www.recombee.com/domains/music-podcasts) - [Sports & Live Events](https://www.recombee.com/domains/sports-and-live-events) - [Real Estate](https://www.recombee.com/domains/real-estate) - [P2P Marketplaces](https://www.recombee.com/domains/p2p-marketplaces) - [Travel & Trips](https://www.recombee.com/domains/travel-trips) ## Blog - [Articles, News, Media](https://www.recombee.com/domains/articles-news-media) - [Blog](https://www.recombee.com/blog) - [A 2025 Research Retrospective](https://www.recombee.com/blog/a-2025-research-retrospective) ## Legal - [Terms of Use](https://www.recombee.com/terms-of-use) - [Cookie Policy](https://www.recombee.com/cookie-policy) ## Support - [FAQ](https://www.recombee.com/faq) - [ContactSupport and invoicing](https://www.recombee.com/contact)
전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)
이 파일을 도메인 루트의 https://www.recombee.com/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.
시맨틱 HTML
Has <main>
Clean heading hierarchy
13 semantic elements, 168 divs (ratio: 7%)
17/20 images with meaningful alt text
Avg div depth: 3.3, max: 6
콘텐츠 효율성
100% token reduction (HTML→Markdown)
Content ratio: 0.2% (1695 content chars / 784401 HTML bytes)
88/1875 elements with inline styles (4.7%)
HTML size: 766KB
AI 발견 가능성
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
구조화 데이터
No JSON-LD / Schema.org found
All OG tags present
Meta description: 90 chars
Canonical URL present
lang="en"
접근성
Content available without JavaScript
Page size: 766KB
Main content starts at 8% of HTML
{
"url": "https://www.recombee.com/",
"timestamp": 1783671814568,
"fetch": {
"mode": "simple",
"timeMs": 1981,
"htmlSizeBytes": 784401,
"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": "AI-Powered Real-Time Recommender",
"excerpt": "Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.",
"byline": "Recombee",
"siteName": null,
"lang": "en",
"contentLength": 1695,
"metadata": {
"description": "Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.",
"ogTitle": "AI-Powered Real-Time Recommender",
"ogDescription": "Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.",
"ogImage": "https://www.recombee.com/img/facebook.png",
"ogType": null,
"canonical": "https://www.recombee.com",
"lang": "en",
"schemas": [],
"robotsMeta": "index, follow",
"author": "Recombee",
"generator": null,
"markdownAlternateHref": null
}
},
"markdown": "Trusted by 10,000+ sites and apps\n\nApply AI\n\n## Empower your Platform\nwith AI Personalization\n\nExplore a feature-rich Recommender & Search solution tailored for your unique use case.\n\nVideo AI Personalization\n\n## Boost Engagement With Real-time\nVideo Recommendations\n\nBecome your user's favorite platform! Employ personalization software to increase watch time and build a foundation of loyal viewers.\n\nUse Cases Examples\n\n\n\n\n\n\n\n\n\n\n\nFully Personalized Homepage\n\n## Personalization Powerhouse helps you make a unique impression through a personalized user experience.\n\nWhy Recombee\n\n## Top-Notch Technology Supporting Your Business\n\n\n\n\n\n### Christoph Haas\n\nEVP Product & Platform Engineering at DAZN\n\nAt DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience.\n\nHow It Works\n\n## A Few Steps to Personalization\n\n\n\n```\nconst client = new recombee.ApiClient('database-id', dbPublicToken);\n\n// Send a view of item 'item_x' by user 'user_42'\nclient.send(new recombee.AddDetailView('user_42', 'item_x'));\n\n// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.\nconst recommended = await client.send(\n\tnew recombee.RecommendItemsToUser('user_42', 5, { filter: \"'expires' > now()\" }),\n);\n```\n\n## Shape the Future\n\nStart Your Free 30-Day Trial Today.\n\n- Increase KPIs\n\n- Improve User Experience\n\n- Maximize Profits\n\n- Boost Customer Loyalty\n\n\n",
"fullPageMarkdown": "AI-Powered Real-Time Recommender | Recombee\n\n[](https://www.recombee.com/)\n\n[Sign In](https://admin.recombee.com/sign-in)[Request Demo](https://www.recombee.com/request-demo)[Start Free \\->](https://admin.recombee.com/sign-up)\n\n# The Next-Gen\nAI Recommender & Search\n\nBecome the architect of your success with our AI personalization engine designed to align with the visionary strategy of product managers and tech teams.\n\n[Start Free \\->](https://admin.recombee.com/sign-up)[Request Demo](https://www.recombee.com/request-demo)\n\nRecommendations\n\nPersonalized Search\n\nInsights & Analytics\n\n\n\nTrusted by 10,000+ sites and apps\n\nApply AI\n\n## Empower your Platform\nwith AI Personalization\n\nExplore a feature-rich Recommender & Search solution tailored for your unique use case.\n\nVideoE-commerceArticles, News, MediaDeal AggregatorsMusic, PodcastsMore\n\nVideoE-commerceArticles, News, MediaDeal AggregatorsMusic, PodcastsReal EstateP2P MarketplacesTravel TripsRecruitmentOther Industries\n\nVideo AI Personalization\n\n## Boost Engagement With Real-time\nVideo Recommendations\n\nBecome your user's favorite platform! Employ personalization software to increase watch time and build a foundation of loyal viewers.\n\n[Explore More \\->](https://www.recombee.com/domains/video)Watch Demo\n\nUse Cases Examples\n\n<-\\->\n\n\n\n\n\n\n\n\n\n\n\nFully Personalized Homepage\n\n## Personalization Powerhouse helps you make a unique impression through a personalized user experience.\n\n[Recommendations\n\n\\->\n\n](https://www.recombee.com/features/recommendations-search)\n\n[Search\n\n\\->\n\n](https://www.recombee.com/features/recommendations-search#personalized-semantic-search)[Perfect Flexibility](https://www.recombee.com/features/full-control-with-scenario-settings)\n\n[Quick & Easy Integration](https://www.recombee.com/features/integration)[Analytics & Insights\n\n\\->\n\n](https://www.recombee.com/features/real-time-analytics-insights)\n\nWhy Recombee\n\n## Top-Notch Technology Supporting Your Business\n\n### Full Control\n\n#### Follow your product vision by setting specific behavior for each box with recommendations.\n\n\n\n- Choose the **behavior of the model**, what can be recommended, and what shall be boosted\n\n- **Express your custom filters** and boosters using our flexible ReQL language\n\n- Use our **AI ReQL Assistant** to create any rules with ease\n\n[Explore Full Control \\->](https://www.recombee.com/features/full-control-with-scenario-settings)\n\n### Easy Integration\n\n#### Follow your product vision by setting specific behavior for each box with recommendations.\n\n\n\n- **Use SDK** in your programming language to call our **REST API**\n\n- **Integrate** using an HTML **low-code solution**\n\n- Take advantage of our [extensive documentation\\->](https://docs.recombee.com/)\n\n- Get help from our **support team** whenever needed.\n\n[Explore Integration \\->](https://www.recombee.com/features/integration)\n\n### Cutting Edge AI & Research\n\n#### Benefit from unique features and inventions developed by our data scientists.\n\n\n\n- Our data scientists frequently contribute to the most **prestigious conferences** in the field\n\n- We transform the **latest innovations** from our data scientists and the scientific community into **product solutions**\n\n- We ensure the highest quality of our recommendations through automatic **hyper-parameter optimization**\n\n[Explore AI & Research \\->](https://www.recombee.com/research)\n\n### Scalability\n\n#### Thanks to our horizontally scalable infrastructure, we recommend over a billion products, videos, articles, and other pieces of content every day.\n\n\n\n- We can handle over **30k recommendations per second**\n\n- We support large catalogs with **tens of millions of items**\n\n- We ensure **low network latency** to your servers and customers by having multiple data centers strategically situated across the globe.\n\n[Explore Scalability \\->](https://www.recombee.com/how-it-works/performance-at-scale)\n\n### ---\n\n---\n\nFull Control\n\n#### Follow your product vision by setting specific behavior for each box with recommendations.\n\n- Choose the **behavior of the model**, what can be recommended, and what shall be boosted\n\n- **Express your custom filters** and boosters using our flexible ReQL language\n\n- Use our **AI ReQL Assistant** to create any rules with ease\n\n[Explore Full Control \\->](https://www.recombee.com/features/full-control-with-scenario-settings)\n\n### ---\n\n---\n\nEasy Integration\n\n### ---\n\n---\n\nCutting Edge AI & Research\n\n### ---\n\n---\n\nScalability\n\n\n\n\n\n\n\n### Christoph Haas\n\nEVP Product & Platform Engineering at DAZN\n\n<-\\->\n\nAt DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience.\n\n[Case Studies \\->](https://www.recombee.com/case-studies/)\n\nHow It Works\n\n## A Few Steps to Personalization\n\n\n\n## From Developers\nto Developers\n\nThe recommendation engine is provided for multiple programming languages by\n\n[RESTful API \\->](https://docs.recombee.com/api)[API Clients \\->](https://docs.recombee.com/api_clients)[No-Code Widgets \\->](https://docs.recombee.com/no-code-widgets)[Widget SDK \\->](https://docs.recombee.com/widget-sdks)\n\nJavaScript\n\nnpm install recombee-js-api-client\n\n[API Client](https://github.com/recombee/js-api-client)\n\n```\nconst client = new recombee.ApiClient('database-id', dbPublicToken);\n\n// Send a view of item 'item_x' by user 'user_42'\nclient.send(new recombee.AddDetailView('user_42', 'item_x'));\n\n// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.\nconst recommended = await client.send(\n\tnew recombee.RecommendItemsToUser('user_42', 5, { filter: \"'expires' > now()\" }),\n);\n```\n\n### Read & Watch\n\n[Docs \\->](https://docs.recombee.com/)[YouTube \\->](https://www.youtube.com/@recombee)\n\n## Shape the Future\n\nStart Your Free 30-Day Trial Today.\n\n- Increase KPIs\n\n- Improve User Experience\n\n- Maximize Profits\n\n- Boost Customer Loyalty\n\n[Start Free \\->](https://admin.recombee.com/sign-up)Contact Us\n\n\n",
"markdownStats": {
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"links": 0,
"tables": 0,
"codeBlocks": 1,
"headings": 7
},
"tokens": {
"htmlTokens": 358754,
"markdownTokens": 742,
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},
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"grade": "C",
"dimensions": {
"semanticHtml": {
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"weight": 20,
"grade": "B",
"checks": {
"uses_article_or_main": {
"score": 100,
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"details": "Has <main>"
},
"proper_heading_hierarchy": {
"score": 100,
"weight": 25,
"details": "Clean heading hierarchy"
},
"semantic_elements": {
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},
"meaningful_alt_texts": {
"score": 85,
"weight": 15,
"details": "17/20 images with meaningful alt text"
},
"low_div_nesting": {
"score": 100,
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}
}
},
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"weight": 25,
"grade": "D",
"checks": {
"token_reduction_ratio": {
"score": 100,
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"details": "100% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 0,
"weight": 30,
"details": "Content ratio: 0.2% (1695 content chars / 784401 HTML bytes)"
},
"minimal_inline_styles": {
"score": 50,
"weight": 15,
"details": "88/1875 elements with inline styles (4.7%)"
},
"reasonable_page_weight": {
"score": 20,
"weight": 15,
"details": "HTML size: 766KB"
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}
},
"aiDiscoverability": {
"score": 35,
"weight": 25,
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"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,
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},
"has_canonical_url": {
"score": 100,
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"details": "Canonical URL present"
},
"has_lang_attribute": {
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}
},
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"weight": 15,
"grade": "B",
"checks": {
"content_without_js": {
"score": 100,
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"details": "Content available without JavaScript"
},
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"details": "Page size: 766KB"
},
"fast_content_position": {
"score": 100,
"weight": 30,
"details": "Main content starts at 8% of HTML"
}
}
}
}
},
"recommendations": [
{
"id": "add_llms_txt",
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"category": "aiDiscoverability",
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"howToKey": "rec.add_llms_txt.howto",
"effort": "quick-win",
"estimatedImpact": 10,
"checkScore": 0,
"checkDetails": "No llms.txt found"
},
{
"id": "improve_content_ratio",
"priority": "critical",
"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": 0,
"checkDetails": "Content ratio: 0.2% (1695 content chars / 784401 HTML bytes)"
},
{
"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": "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"
},
{
"id": "add_semantic_elements",
"priority": "high",
"category": "semanticHtml",
"titleKey": "rec.add_semantic_elements.title",
"descriptionKey": "rec.add_semantic_elements.description",
"howToKey": "rec.add_semantic_elements.howto",
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"estimatedImpact": 5,
"checkScore": 24,
"checkDetails": "13 semantic elements, 168 divs (ratio: 7%)"
},
{
"id": "reduce_page_size",
"priority": "high",
"category": "accessibility",
"titleKey": "rec.reduce_page_size.title",
"descriptionKey": "rec.reduce_page_size.description",
"howToKey": "rec.reduce_page_size.howto",
"effort": "moderate",
"estimatedImpact": 4,
"checkScore": 40,
"checkDetails": "Page size: 766KB"
},
{
"id": "reduce_page_weight",
"priority": "high",
"category": "contentEfficiency",
"titleKey": "rec.reduce_page_weight.title",
"descriptionKey": "rec.reduce_page_weight.description",
"howToKey": "rec.reduce_page_weight.howto",
"effort": "significant",
"estimatedImpact": 4,
"checkScore": 20,
"checkDetails": "HTML size: 766KB"
},
{
"id": "remove_inline_styles",
"priority": "medium",
"category": "contentEfficiency",
"titleKey": "rec.remove_inline_styles.title",
"descriptionKey": "rec.remove_inline_styles.description",
"howToKey": "rec.remove_inline_styles.howto",
"effort": "moderate",
"estimatedImpact": 3,
"checkScore": 50,
"checkDetails": "88/1875 elements with inline styles (4.7%)"
}
],
"llmsTxtPreview": "# recombee.com\n\n> Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.\n\n## Documentation\n- [FAQ](https://www.recombee.com/faq)\n\n## Main\n- [AI-Powered Real-Time Recommender](https://www.recombee.com/): Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.\n- [FeaturesExplore features built for full control over recommendations and search](https://www.recombee.com/features)\n- [Personalized SearchImprove relevance of search results and save customers’ time](https://www.recombee.com/features/recommendations-search)\n- [Pricing](https://www.recombee.com/pricing)\n- [About UsMeet our team](https://www.recombee.com/about-us)\n- [Analytics & Insights](https://www.recombee.com/features/real-time-analytics-insights)\n- [Video](https://www.recombee.com/domains/video)\n- [E-commerce](https://www.recombee.com/domains/e-commerce)\n- [Deal Aggregators](https://www.recombee.com/domains/deal-aggregators)\n- [Music & Podcasts](https://www.recombee.com/domains/music-podcasts)\n- [Sports & Live Events](https://www.recombee.com/domains/sports-and-live-events)\n- [Real Estate](https://www.recombee.com/domains/real-estate)\n- [P2P Marketplaces](https://www.recombee.com/domains/p2p-marketplaces)\n- [Travel & Trips](https://www.recombee.com/domains/travel-trips)\n\n## Blog\n- [Articles, News, Media](https://www.recombee.com/domains/articles-news-media)\n- [Blog](https://www.recombee.com/blog)\n- [A 2025 Research Retrospective](https://www.recombee.com/blog/a-2025-research-retrospective)\n\n## Legal\n- [Terms of Use](https://www.recombee.com/terms-of-use)\n- [Cookie Policy](https://www.recombee.com/cookie-policy)\n\n## Support\n- [FAQ](https://www.recombee.com/faq)\n- [ContactSupport and invoicing](https://www.recombee.com/contact)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthDiscovery": {
"exists": false,
"url": "https://www.recombee.com/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://www.recombee.com/.well-known/mcp.json"
},
"a2aAgentCard": {
"exists": false,
"url": "https://www.recombee.com/.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": "# recombee.com\n\n> Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.\n\n## Documentation\n- [FAQ](https://www.recombee.com/faq)\n\n## Main\n- [AI-Powered Real-Time Recommender](https://www.recombee.com/): Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.\n- [FeaturesExplore features built for full control over recommendations and search](https://www.recombee.com/features)\n- [Personalized SearchImprove relevance of search results and save customers’ time](https://www.recombee.com/features/recommendations-search)\n- [Pricing](https://www.recombee.com/pricing)\n- [About UsMeet our team](https://www.recombee.com/about-us)\n- [Analytics & Insights](https://www.recombee.com/features/real-time-analytics-insights)\n- [Video](https://www.recombee.com/domains/video)\n- [E-commerce](https://www.recombee.com/domains/e-commerce)\n- [Deal Aggregators](https://www.recombee.com/domains/deal-aggregators)\n- [Music & Podcasts](https://www.recombee.com/domains/music-podcasts)\n- [Sports & Live Events](https://www.recombee.com/domains/sports-and-live-events)\n- [Real Estate](https://www.recombee.com/domains/real-estate)\n- [P2P Marketplaces](https://www.recombee.com/domains/p2p-marketplaces)\n- [Travel & Trips](https://www.recombee.com/domains/travel-trips)\n\n## Blog\n- [Articles, News, Media](https://www.recombee.com/domains/articles-news-media)\n- [Blog](https://www.recombee.com/blog)\n- [A 2025 Research Retrospective](https://www.recombee.com/blog/a-2025-research-retrospective)\n\n## Legal\n- [Terms of Use](https://www.recombee.com/terms-of-use)\n- [Cookie Policy](https://www.recombee.com/cookie-policy)\n\n## Support\n- [FAQ](https://www.recombee.com/faq)\n- [ContactSupport and invoicing](https://www.recombee.com/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\": \"AI-Powered Real-Time Recommender\",\n \"description\": \"Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists.\",\n \"url\": \"https://www.recombee.com/\",\n \"inLanguage\": \"en\",\n \"author\": {\n \"@type\": \"Person\",\n \"name\": \"Recombee\"\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.
배지 삽입
이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.
<script src="https://agentready.md/badge.js" data-id="ac41f080-2780-42c6-8503-a9ec0ed71ef0" data-domain="www.recombee.com"></script>
[](https://agentready.md/ko/r/ac41f080-2780-42c6-8503-a9ec0ed71ef0)
곧 출시: 전체 도메인 분석
전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.