As search rapidly shifts toward AI-driven discovery, log files offer one of the clearest ways to understand how modern crawlers and LLM-based agents actually interact with your site.

This session focuses on how to review and analyze server logs to uncover meaningful AI search behavior—and turn those insights into actionable SEO recommendations.

This talk is ideal for technical SEOs, enterprise SEOs, SEO leads, and developers who want to move beyond assumptions and optimize based on real crawl data.

Zach will walk through how to identify AI-related bots, distinguish valuable crawl activity from noise, and understand how AI systems crawl, render, and consume content differently than traditional search engines.

By the end of the session, attendees will walk away with a practical framework for analyzing log files, spotting inefficiencies and opportunities, and translating raw log data into clear technical and architectural recommendations that support visibility in AI-powered search experiences.