AI-Native Recommendations Demo

Experience our seamless recommendation engine that generates revenue while preserving user experience

ENV

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

No Recommendation Data Yet

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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.