Analysierte URL
https://www.recombee.com/
KI-Ready Score
Befriedigend
von 100
Token-Einsparung
Score-Aufschlüsselung
Emerging Protocols
0 von 3 erkanntWell-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.
-
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
Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.
So implementieren Sie es
Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.
Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.
So implementieren Sie es
Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.
Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.
So implementieren Sie es
Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.
Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.
So implementieren Sie es
Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.
Keine Schema.org-strukturierten Daten gefunden. JSON-LD hilft KI-Agenten, faktische, strukturierte Informationen aus Ihren Seiten zu extrahieren.
So implementieren Sie es
Fügen Sie einen <script type="application/ld+json">-Block mit Schema.org-Markup hinzu. Verwenden Sie passende Typen: Article für Blogbeiträge, Product für Produktseiten, Organization für Ihre Unternehmensseite.
Ihre Seite stützt sich stark auf <div>-Elemente. Semantische Elemente wie <section>, <nav>, <header>, <footer> und <aside> bieten eine sinnvolle Struktur für KI-Agenten.
So implementieren Sie es
Ersetzen Sie generische <div>-Container durch passende semantische Elemente. Verwenden Sie <section> für thematische Gruppen, <nav> für Navigation, <header>/<footer> für Seiten-/Abschnittskopf und -fußzeilen.
Ihre Seite ist größer als empfohlen. Große Seiten werden langsamer verarbeitet und sind teurer für KI-Agenten.
So implementieren Sie es
Optimieren Sie die Seitengröße durch Minimierung von HTML, Verzögerung nicht-kritischer Skripte und Entfernung ungenutzten CSS.
Ihre HTML-Seite ist schwerer als empfohlen. Große Seiten brauchen länger für die Verarbeitung durch KI-Agenten und kosten mehr Tokens.
So implementieren Sie es
Reduzieren Sie die HTML-Größe, indem Sie ungenutzten Code entfernen, HTML minimieren und nicht-kritische Inhalte verzögert laden.
Viele Elemente haben Inline-Style-Attribute. Diese erzeugen Rauschen für KI-Agenten bei der Inhaltsextraktion.
So implementieren Sie es
Verlagern Sie alle Inline-Styles in CSS-Klassen in Ihrem Stylesheet. Verwenden Sie Utility-CSS-Frameworks wie Tailwind, wenn Sie viele individuelle Styles benötigen.
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

Laden Sie diese Datei als /index.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.
Generierte llms.txt für diese einzelne Seite
# 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)
Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)
Laden Sie diese Datei als https://www.recombee.com/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.
Semantisches 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
Inhaltseffizienz
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
KI-Auffindbarkeit
No llms.txt found
robots.txt exists
All major AI bots allowed
Sitemap found
Strukturierte Daten
No JSON-LD / Schema.org found
All OG tags present
Meta description: 90 chars
Canonical URL present
lang="en"
Zugänglichkeit
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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"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\">"
}
]
}
]
}
Nutzen Sie unsere API, um dies programmatisch abzurufen (kommt bald)
Dieses JSON ist für den internen Gebrauch bestimmt — im Gegensatz zu den Markdown- und llms.txt-Dateien soll es nicht auf Ihre Website hochgeladen werden. Speichern Sie es als Ausgangswert, um Ihren Score im Zeitverlauf zu verfolgen, teilen Sie es mit Ihrem Entwicklerteam oder integrieren Sie es in Ihre CI/CD-Pipeline.
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Demnächst: Vollständige Domain-Analyse
Crawlen Sie Ihre gesamte Domain, generieren Sie llms.txt und überwachen Sie Ihren KI-Bereitschaftswert im Zeitverlauf. Tragen Sie sich in die Warteliste ein.