AI Search Picks Winners. Here’s the GEO Strategy Behind It.

Search is moving from organic results toward generated answers and selected sources. Visibility now depends on whether your content is discovered, evaluated, and chosen as a source inside AI search responses.

That shift requires a different strategy than classic SEO.

In this webinar, iPullRank's Zach Chahalis, Patrick Schofield, and Garrett Sussman present a Relevance Engineering( r19g) framework for planning, executing, and measuring Generative Engine Optimization (GEO) through an omnichannel content strategy.

The session walks through the GEO selection funnel and explains how AI Search discovers and selects sources through query fan-outs. The team will show how marketers should structure content so it can be retrieved and surfaced in generated answers, and why omnichannel and omnimedia distribution across web, media, and community platforms influences whether a brand becomes a cited source.

The webinar will also address a key reality of AI Search: best practices do not universally apply. What works varies by industry, audience behavior, and keyword universe. Organizations must run experiments, study their visibility patterns, and build bespoke strategies grounded in real performance data.

To support that work, the session introduces a three-tier AI search measurement model, helping teams track discovery, selection, and citation impact across generated responses.

During the session, you will learn:

• How AI Search finds and evaluates sources before generating answers
  
• How to structure content so it can be discovered and cited
  
• Why visibility now depends on an omnichannel content presence
  
• How query fan-outs influence what sources are considered
  
• How to measure discovery, selection, and citation impact across AI search results
  

Attendees will leave with a clear framework for building an AI Search strategy and measuring performance in an environment where selection matters more than ranking.