Local Marketing Beat #28 | GEO Evolved: Location Performance Optimization for Winning in AI Search

The world of search is changing. As AI becomes the librarian of the internet, brands must evolve from traditional SEO to Generative Engine Optimization (GEO). In this episode of Local Marketing Beat, Christian Hustle speaks with Luma Ghazaleh, Technical Product Manager at Uberall, about what this shift means for multi-location businesses.

Luma shares how AI-driven search behaviors are reshaping digital strategy, the role of local pages and schema markup, and why Location Performance Optimization (LPO) is now essential for visibility in an AI-first world. She also walks through a successful GEO case study that shows how clear, structured, and authoritative content can deliver measurable results in weeks.

🔑 Key Takeaways:

• GEO is the new frontier for AI-driven visibility
• SEO remains foundational but must evolve
• Local pages and schema markup are essential for multi-location brands
• High-quality, descriptive content trains AI to recommend your brand
• The future of search will prioritize authority and helpfulness

⏱ Timestamps

00:00 Introduction to AI Search and GEO

01:29 Transition from SEO to GEO

05:58 Understanding GEO vs SEO

09:05 Common Misconceptions in AI and GEO

11:00 The Importance of Content in AI Search

13:33 Key Platforms for Local Business Optimization

15:32 Role of Locator and Local Pages

17:24 Technical Aspects of Multi-Location Brands

20:22 Case Study: GEO Optimization Success

24:00 Tracking AI Impact on Business

26:03 Recommendations for Multi-Location Brands

28:12 Future of AI Search and Marketing Strategies