URL analysée
https://www.recombee.com/
Score AI-Ready
Passable
sur 100
Économie de tokens
Détail du score
Protocoles émergents
0 sur 3 détectésEndpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.
-
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
Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.
Comment implémenter
Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.
Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.
Comment implémenter
Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.
Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.
Comment implémenter
Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.
Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.
Comment implémenter
Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.
Aucune donnée structurée Schema.org trouvée. JSON-LD aide les AI agents à extraire des informations factuelles et structurées de vos pages.
Comment implémenter
Ajoutez un bloc <script type="application/ld+json"> avec du balisage Schema.org. Utilisez les types appropriés : Article pour les billets de blog, Product pour les produits, Organization pour la page de votre entreprise.
Votre page repose fortement sur les éléments <div>. Les éléments sémantiques comme <section>, <nav>, <header>, <footer> et <aside> fournissent une structure significative pour les AI agents.
Comment implémenter
Remplacez les conteneurs <div> génériques par les éléments sémantiques appropriés. Utilisez <section> pour les groupes thématiques, <nav> pour la navigation, <header>/<footer> pour les en-têtes et pieds de page ou de section.
Votre page est plus volumineuse que recommandé. Les pages volumineuses sont plus lentes à traiter et plus coûteuses pour les AI agents.
Comment implémenter
Optimisez la taille de la page en minifiant le HTML, en différant les scripts non critiques et en supprimant le CSS inutilisé.
Votre page HTML est plus lourde que recommandé. Les pages volumineuses sont plus longues à traiter pour les AI agents et coûtent plus de tokens.
Comment implémenter
Réduisez la taille du HTML en supprimant le code inutilisé, en minifiant le HTML et en chargeant de manière différée le contenu non critique.
De nombreux éléments ont des attributs de style en ligne. Ils ajoutent du bruit pour les AI agents lors de l’extraction du contenu.
Comment implémenter
Déplacez tous les styles en ligne vers des classes CSS dans votre feuille de style. Utilisez des frameworks CSS utilitaires comme Tailwind si vous avez besoin de nombreux styles uniques.
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

Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.
llms.txt généré pour cette page individuelle
# 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)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://www.recombee.com/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.
HTML sémantique
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
Efficacité du contenu
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
Visibilité IA
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Données structurées
No JSON-LD / Schema.org found
All OG tags present
Meta description: 90 chars
Canonical URL present
lang="en"
Accessibilité
Content available without JavaScript
Page size: 766KB
Main content starts at 8% of HTML
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"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",
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},
"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\">"
}
]
}
]
}
Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)
Ce JSON est à usage interne — contrairement au Markdown et au llms.txt, il n’est pas destiné à être téléversé sur votre site. Conservez-le comme référence pour suivre l’évolution de votre score, partagez-le avec votre équipe de développement ou intégrez-le dans votre pipeline CI/CD.
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Bientôt : Analyse de domaine complet
Explorez l’ensemble de votre domaine, générez un llms.txt et surveillez votre score de préparation IA dans le temps. Rejoignez la liste d’attente pour être informé.