Local GEO & AI Search: A 90-Day Plan to Make Every Location AI-Ready
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?
👈 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.
Join us 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.
Register now to join this live session and learn how to make every location competitive in AI-driven discovery.
Can’t attend live? Register anyway, and we’ll send you the on-demand recording after the webinar.
Speakers
Ana Martinez
Chief Technology Officer, Uberall
Andrew Yan
Co-Founder & CEO, AthenaHQHost
