AI is changing how people discover brands and that means the way we measure visibility has to change too. In this lesson, you’ll learn how to track and analyze AI-driven traffic from tools like ChatGPT, Google’s AI Overviews, and other large language models using Webflow Analyze. We’ll walk through how to interpret sessions and conversions from AI referrals and how to use those insights to refine your AEO (Answer Engine Optimization) strategy.
AI-generated content is increasingly driving traffic to websites, and understanding how to track that traffic is becoming more important. In this video, we'll look at how you can identify and analyze AI-driven traffic to your Webflow site.
AI traffic typically comes from tools like ChatGPT, Claude, Perplexity, and other AI assistants that browse the web or cite sources. When someone asks an AI tool a question and it links to or references your site, that can drive referral traffic.
To track this, you'll want to look at your site analytics. In Google Analytics 4 or similar tools, you can look at referral traffic sources to see if any of the referring domains are AI platforms. Some AI tools pass their domain as a referral source, making it identifiable in your analytics data.
Webflow Analyze, Webflow's built-in analytics tool, can also help you understand where your traffic is coming from. You can use it to spot trends in referral sources and see whether AI platforms are showing up as significant traffic drivers over time.
You can also look at your server logs or use UTM parameters on links that appear in AI-generated content, if you have any control over how your content is referenced. This gives you a more precise way to measure AI-driven traffic.
As AI tools continue to evolve, the way they drive traffic is also changing. Staying on top of your analytics and keeping an eye on new referral sources is the best way to understand and adapt to these shifts.