Traffic and Conversion Attribution
Tracking traffic sources and attributing conversions from AI platforms requires specialized measurement frameworks and analytical approaches. This category covers identification methods, attribution models, and optimization strategies for AI-driven traffic. Learn how to measure engagement, map user journeys, calculate ROI, and connect AI citations to revenue outcomes.
AI referral traffic identification
Detect and classify traffic originating from AI platforms and chatbot interfaces.
Bounce rate and session duration
Measure visitor engagement quality through time-based and interaction metrics.
Conversion rate optimization for AI traffic
Improve conversion performance specifically for visitors arriving from AI sources.
Engagement metrics analysis
Track user interactions, depth, and quality signals across AI-driven sessions.
Multi-touch attribution frameworks
Assign conversion credit across multiple AI and traditional touchpoints.
Revenue attribution modeling
Connect AI citations and traffic directly to revenue and business outcomes.
ROI calculation methodologies
Quantify return on investment for GEO optimization and AI visibility efforts.
User journey mapping from AI sources
Visualize and analyze paths users take from AI platforms to conversion.