Tracking and measuring traffic and conversions that originate from AI assistant recommendations.
AI attribution is the practice of identifying and measuring website traffic, leads, and conversions that come from AI assistant recommendations. Because AI-referred traffic doesn't have traditional referrer data, attribution requires specialized approaches like branded query analysis, post-visit surveys, and traffic pattern analysis. Proper AI attribution helps justify AI visibility investments by connecting optimization to business outcomes.
We implement AI attribution frameworks to help you understand and measure the impact of AI visibility on your business.
Without AI attribution, you can't measure ROI from AI visibility efforts. Understanding which traffic and conversions come from AI helps optimize investments and prove value.
Tracking traffic spikes correlated with AI optimization
Surveying customers about how they found you
Analyzing branded search increases following AI visibility improvements
We use multiple signals: branded search increases, traffic pattern analysis, direct traffic spikes, and optional post-conversion surveys to attribute traffic to AI sources.
AI assistants don't pass traditional referrer data. Users often don't remember or report that they found you through AI, making direct tracking challenging.
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