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Understanding Your Dashboard

Your AI Traffic Analytics dashboard provides a comprehensive view of how AI crawlers interact with your website. Here's how to interpret the data and gain actionable insights.

Key Metrics Explained

Total AI Visits

This metric shows the total number of requests from AI crawlers to your website within the selected time period. Each time an AI system like ChatGPT or Claude accesses one of your pages, it's counted here.

How to use it: Monitor the trend over time to understand if AI systems are increasing their engagement with your content.


Visits by AI Platform

This breakdown shows which specific AI systems are visiting your site most frequently.

How to use it: Different AI platforms may prioritize different types of content. Understanding which ones engage most with your site helps you optimize accordingly.


Top Pages for AI

This section reveals which pages on your website receive the most attention from AI crawlers.

How to use it: These pages are your most visible content in the AI ecosystem. They may differ significantly from your top pages in Google Analytics, revealing new opportunities for optimization.


Visit Trends

The trend graph shows how AI crawler activity has changed over time, with data available in daily, weekly, and monthly views.

How to use it: Look for patterns or spikes that might correlate with content updates, industry news, or AI model releases.


Custom Date Ranges

To analyze specific time periods:

  1. Click the date selector in the top right corner
  2. Choose a preset range (Today, Yesterday, Last 7 Days, Last 30 Days)
  3. Or select "Custom Range" to define specific start and end dates
  4. Click "Apply" to update all dashboard metrics

Comparing with Traditional Analytics

For a complete picture of your site's performance, it's valuable to compare AI Traffic Analytics with your standard analytics:

  1. Note which pages are popular with human visitors vs. AI crawlers
  2. Look for content that performs well with AI but poorly with humans (and vice versa)
  3. Identify patterns in content format, structure, or topics that appeal to different audiences