What is AI Analytics?
AI Analytics closes the loop between AI visibility and real business impact. While other features track how your brand appears in AI responses, AI Analytics tracks what happens next — how many users actually visit your website after seeing your brand mentioned by an AI model. This is the ultimate measure of your AI visibility strategy’s effectiveness. Appearances in AI responses only matter if they drive real traffic and engagement.How it works
AI Analytics integrates with your website to detect visitors arriving from AI platforms. When a user clicks a link in an AI-generated response (e.g., a citation link in Perplexity or a reference in ChatGPT), that visit is tracked and attributed to the originating AI model.Dashboard sections
Visitors Over Time
A time-series chart showing the number of AI-referred visitors per day. Each AI model is represented by a distinct color, making it easy to see which models drive the most traffic. Toggle between Daily, Weekly, and Monthly views.Traffic by AI Source
Shows which AI models are driving the most visitors to your site:- AI Model: The source of the traffic (e.g., ChatGPT, Gemini, Perplexity)
- Visit count: Total number of visitors from this model
- Percentage: This model’s share of your total AI traffic
Traffic by Country
Geographic breakdown of your AI-referred visitors. This helps you understand which markets are discovering your brand through AI models and can inform localization or market expansion decisions.Traffic by Page
Shows which pages on your site receive the most visitors from AI sources:- Page URL: The landing page receiving AI traffic
- Visit count: Number of visitors arriving at this page
- Percentage: This page’s share of total AI traffic
Filters
- Date range: Default is last 7 days, adjustable for longer trends
- Models: Filter by specific AI model to see traffic from only that source
Key concepts
From visibility to traffic
The relationship between AI visibility and AI traffic is not always linear. You may have high visibility (your brand is mentioned often) but low traffic (users don’t click through). This can happen when:- AI responses mention your brand but don’t link to your site
- Your brand is mentioned in a way that doesn’t inspire curiosity or action
- The AI model doesn’t provide a direct URL
AI traffic attribution
Not all AI-referred traffic is equal. Understanding the source helps you prioritize:- Perplexity: High click-through rates because responses always include source links
- ChatGPT: Variable — depends on whether the response includes links
- Gemini / Google AI Mode: Growing source as Google integrates AI into search
- Bing Copilot: Traffic from Copilot often comes with purchase intent
Measuring ROI
AI Analytics lets you quantify the ROI of your AI visibility efforts. By tracking:- How much AI traffic you receive
- Which pages receive the most AI traffic
- How this traffic grows over time
How to use AI Analytics
Set up tracking
Ensure your website has AI Analytics properly configured by following the setup instructions in your account settings.
Identify top traffic sources
Check the Traffic by AI Source section to see which AI models drive the most visitors to your site.
Optimize high-traffic pages
Focus on pages that receive the most AI traffic. Ensure they have clear calls-to-action, relevant content, and a good user experience.
Correlate with visibility data
Cross-reference AI Analytics with your Monitored Prompts and Cited Sources data. High visibility + low traffic means you need more direct links. High traffic + low visibility means a few key sources are doing the heavy lifting.