Analyzed URL
https://www.recombee.com/
AI-Ready Score
Fair
out of 100
Token Savings
Score Breakdown
Emerging protocols
0 of 3 detectedWell-known endpoints AI agents look for. Detected here means an agent can discover and connect to your service automatically.
-
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
Your site doesn't have an llms.txt file. This is the emerging standard for helping AI agents understand your site structure.
How to implement
Create an /llms.txt file following the llmstxt.org specification. Include a site description and links to your key pages.
Your page has a low ratio of actual content to total HTML. Much of the page weight is markup, scripts, or styles rather than content.
How to implement
Move CSS to external stylesheets, remove inline styles, minimize JavaScript, and ensure the HTML focuses on content structure.
Your site doesn't support Markdown for Agents. This Cloudflare standard lets AI agents request content in markdown format, reducing token usage by ~80%.
How to implement
Implement one or more: (1) Respond to Accept: text/markdown with markdown content. (2) Serve .md URLs (e.g., /page.md). (3) Add <link rel="alternate" type="text/markdown"> tags. (4) Add Link HTTP headers for markdown discovery.
No Content-Signal directives found. These tell AI agents how they may use your content (search indexing, AI input, training data). The recommended location is robots.txt.
How to implement
Add Content-Signal to your robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. You can also add it as an HTTP header on markdown responses.
No Schema.org structured data found. JSON-LD helps AI agents extract factual, structured information from your pages.
How to implement
Add a <script type="application/ld+json"> block with Schema.org markup. Use appropriate types: Article for blog posts, Product for products, Organization for your company page.
Your page relies heavily on <div> elements. Semantic elements like <section>, <nav>, <header>, <footer>, and <aside> provide meaningful structure for AI agents.
How to implement
Replace generic <div> containers with appropriate semantic elements. Use <section> for thematic groups, <nav> for navigation, <header>/<footer> for page/section headers and footers.
Your page is larger than recommended. Large pages are slower to process and more expensive for AI agents.
How to implement
Optimize page size by minifying HTML, deferring non-critical scripts, and removing unused CSS.
Your HTML page is heavier than recommended. Large pages take longer for AI agents to process and cost more tokens.
How to implement
Reduce HTML size by removing unused code, minifying HTML, and lazy-loading non-critical content.
Many elements have inline style attributes. These add noise for AI agents extracting content.
How to implement
Move all inline styles to CSS classes in your stylesheet. Use utility CSS frameworks like Tailwind if you need many unique styles.
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

Upload this file as /index.md on your server so AI agents can access a clean version of your page. You can also configure Accept: text/markdown content negotiation to serve it automatically.
Generated llms.txt for this single page
# 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)
Full llms.txt requires domain-wide analysis (coming soon)
Upload this file to https://www.recombee.com/llms.txt at the root of your domain. AI agents like ChatGPT, Claude, and Perplexity check this file to understand your site structure.
Semantic 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
Content Efficiency
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 Discoverability
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Structured Data
No JSON-LD / Schema.org found
All OG tags present
Meta description: 90 chars
Canonical URL present
lang="en"
Accessibility
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": {
"images": 9,
"links": 0,
"tables": 0,
"codeBlocks": 1,
"headings": 7
},
"tokens": {
"htmlTokens": 358754,
"markdownTokens": 742,
"reduction": 358012,
"reductionPercent": 100
},
"score": {
"score": 61,
"grade": "C",
"dimensions": {
"semanticHtml": {
"score": 83,
"weight": 20,
"grade": "B",
"checks": {
"uses_article_or_main": {
"score": 100,
"weight": 20,
"details": "Has <main>"
},
"proper_heading_hierarchy": {
"score": 100,
"weight": 25,
"details": "Clean heading hierarchy"
},
"semantic_elements": {
"score": 24,
"weight": 20,
"details": "13 semantic elements, 168 divs (ratio: 7%)"
},
"meaningful_alt_texts": {
"score": 85,
"weight": 15,
"details": "17/20 images with meaningful alt text"
},
"low_div_nesting": {
"score": 100,
"weight": 20,
"details": "Avg div depth: 3.3, max: 6"
}
}
},
"contentEfficiency": {
"score": 51,
"weight": 25,
"grade": "D",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"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"
}
}
},
"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: 90 chars"
},
"has_canonical_url": {
"score": 100,
"weight": 15,
"details": "Canonical URL present"
},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"details": "lang=\"en\""
}
}
},
"accessibility": {
"score": 82,
"weight": 15,
"grade": "B",
"checks": {
"content_without_js": {
"score": 100,
"weight": 40,
"details": "Content available without JavaScript"
},
"reasonable_page_size": {
"score": 40,
"weight": 30,
"details": "Page size: 766KB"
},
"fast_content_position": {
"score": 100,
"weight": 30,
"details": "Main content starts at 8% 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": "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",
"effort": "moderate",
"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\">"
}
]
}
]
}
Use our API to get this programmatically (coming soon)
This JSON is for internal use — unlike the Markdown and llms.txt files, it's not meant to be uploaded to your site. Save it as a baseline to track your score over time, share it with your dev team, or integrate it into your CI/CD pipeline.
Embed your badge
Add this badge to your site. It updates automatically as your AI-readiness score changes.
<script src="https://agentready.md/badge.js" data-id="ac41f080-2780-42c6-8503-a9ec0ed71ef0" data-domain="www.recombee.com"></script>
[](https://agentready.md/r/ac41f080-2780-42c6-8503-a9ec0ed71ef0)
Coming soon: Full Domain Analysis
Crawl your entire domain, generate llms.txt, and monitor your AI-readiness score over time. Join the waitlist to be notified.