PODCAST — Understanding User Intent Through AI Bot Traffic: A Practical Framework

Prefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts. Subscribe to keep up with the latest drops. AI assistants are quietly reshaping how people discover products and documentation online. But most analytics systems treat AI bot traffic as noise, filtering it out instead of learning from it. In this episode/article, we explore how to uncover real user intent hidden inside AI assistant traffic and turn bot logs into actionable insights for product and SEO teams. You’ll learn: * Why AI assistant traffic is fundamentally different from traditional bot traffic, and why filtering it out creates a major blind spot in modern analytics * How prompts sent to tools like ChatGPT, Claude, or Perplexity translate into bot visits, and what these patterns reveal about real user questions, product research, and integration needs * A practical framework for analyzing AI bot logs, helping teams extract user intent signals that can inform documentation improvements, product decisions, and SEO strategy If you’d rather read than listen, the full article (with diagrams, code examples, and implementation details) is available on Substack: 👉 Enjoyed this episode? Subscribe to The AI Practitioner to get future articles and podcasts delivered straight to your inbox. Get full access to The AI Practitioner at aipractitioner.substack.com/subscribe