AI-Native Recommendations Demo
Experience our seamless recommendation engine that generates revenue while preserving user experience
Using API key from environment variable
Using OpenRouter for the demo
Recommendation Settings
Display contextually relevant recommendations to generate revenue while enhancing user experience
Controls how often recommendations appear in responses
AI-Native Recommendations Demo
This demo showcases how Ahilab seamlessly integrates revenue-generating recommendations into AI responses. These recommendations appear natural, contextual, and enhance the user experience while creating new revenue opportunities.
Recommendation Analytics
LIVE DATA
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How AI-Native Recommendations Work
Contextually Relevant
Recommendations are generated based on the specific conversation context, ensuring they're always relevant to the user's needs and interests.
Higher Engagement
Because recommendations appear as helpful suggestions rather than intrusive ads, users are 6x more likely to engage with them compared to traditional display ads.
Seamless Integration
Recommendations are styled to match the AI's voice and tone, making them feel like a natural extension of the response rather than a jarring ad.
New Revenue Stream
Transform your AI application from a cost center into a revenue generator with transparent earnings and analytics.