AI is rapidly rewriting how consumers discover, evaluate, and choose local brands, and multi-location businesses are already feeling the impact.
How do AI agents decide which local brands get surfaced, recommended, or excluded?
Which location-level signals influence AI-driven discovery and selection?
And how can enterprise teams operationalize GEO across hundreds or thousands of locations?
Watch on-demand and learn how to make every location AI-ready in the next 90 days.
A Practical GEO Playbook for Multi-Location Brands
Discovery is no longer “search → compare → decide.”
It’s rapidly transforming into “intent → AI agent → action.”
AI systems now aggregate signals across maps, reviews, content, location data, engagement, and brand trust before your potential shopper ever clicks.
Watch on-demand as Ana Martinez, Chief Technology Officer of Uberall, shares a clear, phased 90-day framework designed for immediate execution across large location footprints.
You’ll Learn
- A phased GEO roadmap covering foundational readiness, optimization, and orchestration across multi-location networks
- Which signals AI agents actually trust and what to fix first to protect visibility, reputation, and conversion
- How to operationalize AI search at scale, including roles, workflows, and tooling required to support GEO long-term
Without a clear plan, brands risk silent exclusion: lost visibility, reduced foot traffic, and declining demand across entire location networks.
Learn how to make every location competitive in AI-driven discovery.
View the slides below and check out the full webinar for all the details.
