I’ve spent the past year fielding the same panicked question from clients repeatedly:

 “Why is traffic down, and what can we do about it?”

While AI features cannibalize clicks, there are other reasons for declining traffic. Technical issues, poor content targeting, and outdated strategies are often part of the problem.

At MozCon New York, I’ll show you how to use segmentation and machine learning to detect SEO issues, fix them, and build predictive recovery models to future-proof your organic traffic.

SEO teams are under pressure to fix declining clicks, but you often work with incomplete data, vague KPIs, and no clear visibility into what’s working.

Many assume it’s AI stealing clicks, but often, that’s just one part of the story. Issues like tech debt, thin content, and poor targeting are major contributors. However, those problems stay hidden without proper diagnostics.

• How to use machine learning to diagnose traffic loss

I’ll share a proven framework for traffic diagnostics using advanced segmentation and machine learning to find where it hurts and why.

• Fixing what’s broken with targeted SEO strategies

Once you’ve identified the issues, I’ll walk you through how to address them, whether it’s tech debt, content issues, or strategy gaps.

• Building predictive recovery models to get buy-in

I’ll show you how to use  AI to forecast potential gains from your fixes and make the business case to get buy-in for SEO.

This session is for senior SEOs, program leads, and digital heads who are expected to drive results but lack clear insight into what's affecting traffic decline. If you’re under pressure to prove ROI or figure out what’s going wrong, this talk is for you.

🎟 Don’t miss it

Join me at MozCon New York to learn how to use AI to fix SEO issues and forecast the impact of your work.