What happens when a GEO experiment doubles your brand’s AI mentions and citations—but still cannot tell you whether customers can find your individual locations?

Over 90 days, we tested how structured, answer-focused content influenced visibility across ChatGPT, Gemini, and Perplexity.

The playbook worked: distributing consistent, corroborated content across multiple formats helped AI understand, trust, and recommend the brand.

But for multi-location businesses, that is only half the story.

Most GEO strategies—and most AI visibility metrics—treat a brand as one national entity. Real consumer queries such as “best hearing clinic near me” or “best tacos in San Diego” do not.

AI rebuilds the competitive landscape for every location, using different competitors, sources, reviews, and local signals to produce each answer.

This talk reveals what our experiment taught us about influencing AI visibility—and why strong aggregate share of voice can still hide hundreds of local losses.

Attendees will learn how to move from brand-level GEO measurement to location-level visibility, identify where individual locations disappear from AI answers, and apply the principles of consistency, repetition, and corroboration at local scale.

Stop optimizing the average. Start winning the map.