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How should you measure GEO success in AI search? By focusing less on raw traffic and more on visibility, citations, sentiment, and bottom-of-funnel influence across AI-generated answers.

In this episode of Found in AI, Cassie sits down with Kristina Frunze of WebView SEO to break down the metrics that actually matter for Generative Engine Optimization (GEO)—and why many teams are measuring the wrong things.

The conversation explains why AI-driven traffic still represents a small percentage of overall visits, why that doesn’t mean GEO “isn’t working,” and how AI share of voice and brand mentions provide far more meaningful competitive insight.

In this episode, you’ll learn:

• Why AI traffic is still a small percentage of total traffic, and why it converts similarly to organic
• The difference between AI traffic and AI share of voice
• Why AI citations function more like modern backlinks
• Which bottom-of-funnel content types drive AI-sourced leads
• How brand mentions and sentiment influence how LLMs describe your brand
• What metrics actually belong in GEO reporting for 2026

If you’re trying to measure success in AI search—and want reporting that reflects how visibility really works—this episode provides a clear framework for what to track and why.

Find the free AI visibility tracker here.

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: GEO Metrics, AI Search, Generative Engine Optimization, WebView SEO, AI Traffic, AI Citations, Share of Voice, AI Leads, AI Sentiment, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here.