Overview
The Channel: SEO (AI Traffic) report surfaces performance from traditional organic SEO and AI-generated (LLM) traffic. It tracks volume, engagement, and revenue impact from both sources to help teams evaluate content and optimization strategies.
Integrations Required
Digital Analytics (eg. GA4)
Google Search Console
Sections
Organic vs LLM Performance Comparison - Side-by-side comparison showing traditional organic performance (360.9K sessions, $304.4K revenue) versus LLM-driven traffic (1.6K sessions, $420 revenue) with period-over-period changes. This answers: "How does AI traffic compare to traditional search?" and "What's the growth trajectory of AI-driven visits?"
Traffic Source Distribution Analysis - Pie charts comparing Organic Sessions vs Total LLM Sessions and Organic Revenue vs Total LLM Revenue, showing the breakdown by specific AI platforms (ChatGPT, Perplexity, Gemini, Claude). This answers: "Which AI platforms drive the most traffic?" and "How is AI traffic distributed across different LLMs?"
LLM Traffic Performance Trends - Two-year trend analysis showing "Traffic From LLMs Over Time" with stacked visualization by AI platform (ChatGPT, Claude, Gemini, Perplexity). This answers: "How is AI traffic growing over time?" and "Which AI platforms are gaining or losing momentum?"
LLM Traffic by Landing Page - Detailed table showing which specific pages receive traffic from AI sources, broken down by AI platform with sessions and revenue data. This answers: "Which content performs best with AI search engines?" and "What content strategies work for AI discoverability?"