Monitor AI Bot & User Traffic from AI Recommendations

We use advanced user-agent analysis, behavioral pattern recognition, and known AI crawler signatures to identify bot traffic from platforms like ChatGPT, Gemini, and Perplexity. Our system distinguishes between legitimate AI bots collecting data and human users arriving from AI recommendations.

AI-driven user traffic refers to real human visitors who arrive at your website after receiving your hotel recommendation from an AI platform. We track referral patterns, search behaviors, and attribution data to identify when visitors are coming from AI recommendations rather than traditional search engines.

Our system seamlessly integrates with your existing GA4 setup by adding custom dimensions and events to track AI-related traffic. You'll see AI bot visits, AI-referred users, and conversion metrics directly in your Google Analytics dashboard alongside your regular analytics data.

We track the complete customer journey from AI recommendation to booking completion. By monitoring user behavior patterns, session duration, and goal completions, we can attribute bookings back to specific AI platform recommendations and calculate conversion rates for AI-driven traffic.

Our AI traffic detection maintains 95%+ accuracy through machine learning models trained on millions of web requests. We continuously update our detection algorithms as AI platforms evolve their crawling patterns and user referral methods.