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.
Join Us For Our Next Webinar!
AI Cites Your Brand. Now What? Turn AI Visibility Data Into Actions
Join Constance Tan of Ahrefs to learn which AI visibility metrics matter, how to prioritize your next steps, and which tactics win more citations in AI answers.
