Uberall Launches First Generative Engine Optimization (GEO) Studio in Collaboration with AthenaHQ
Berlin — 16 December 2025 — Uberall today unveiled the industry’s first Generative Engine Optimization (GEO) Studio, giving multi-location brands a way to stay visible — and recommended — in AI search.
Built in partnership with San Francisco-based AthenaHQ, the GEO Studio responds to the biggest visibility crisis brands have faced in a decade: AI systems increasingly decide which businesses appear, yet most brands are not “AI-ready.
Today, around 68% of local businesses appear incorrectly in AI results due to missing, inconsistent, or outdated data. And as AI agents filter choices based on confidence signals, not keywords, traditional SEO and content tactics can no longer guarantee discovery.
GEO Studio solves this problem by making every location AI-eligible.
This new solution from Uberall gives brands three capabilities previously out of reach:
1. Monitor AI Visibility
See exactly what AI systems say about your brand — accuracy, trust signals, and competitive benchmarks — at both brand and location level.
2. Create Local, AI-Readable Content
A generative content engine that produces locally relevant, structured content AI understands: FAQs, local pages, posts, review responses, snippets, and more.
3. Publish Everywhere AI Looks
Automated distribution across Google Business Profiles, local pages, social channels, blogs, and third-party directories.
“We’ve been piloting GEO Studio with a handful of clients, and their reaction has been incredibly energizing. For the first time, they can actually see what AI thinks of their brand and fix it. AI now determines which local businesses get discovered, and GEO Studio finally gives every location the clarity, trust signals, and context AI needs to recommend them. This is the moment AI visibility becomes actionable and scalable, and I’m genuinely excited about what it unlocks for our customers.” commented Ana Martinez, CTO at Uberall
“Uberall’s unmatched location platform is the perfect partner for our enterprise-grade GenAI optimization technology. Together, we’re enabling brands to produce on brand AI-ready, locally relevant content at a scale that simply wasn’t possible before.” added Andrew Yan, Co-Founder, AthenaHQ
Early Access brands are already reporting significant lifts in AI-driven visibility.
"We’re excited to pilot this new solution. It finally gives us clear visibility into how our brand appears in AI-generated answers and how we compare to competitors. In seconds, we can analyze prompts, spot improvement opportunities, and generate brand-aligned content. It’s a simple, comprehensive tool that ensures our brand stays visible and accurately represented in AI responses."— Dylan Paul, Digital Marketing Manager, Audika
Multi-location brands can join the Early Access waiting list here.
About Uberall
Uberall is a multi-location marketing platform that helps enterprise brands manage and optimize their local digital presence across listings, reviews, social media, local pages, store locators, and AI search visibility. The platform is built around Location Performance Optimization (LPO), a framework that connects visibility, engagement, reputation, and conversion to measurable business outcomes at the location level. As of 2026, Uberall powers over 1.4 million business locations globally for more than 1,800 customers and partners, with over 100,000 platform users. The company serves brands across retail, hospitality, food and beverage, healthcare, financial services, and automotive and electric vehicle charging. Uberall sells directly and through a global network of reseller and agency partners.
About AthenaHQ
Athena is the leading GenAI Search optimization platform that helps marketing teams action on AI Search. Founded by a former Google Search product manager, Athena powers hundreds of global brands to activate GenAI as the fastest-growing growth channel at-scale through monitoring, action, and revenue impact.
Contact Details
Stephanie Genin, Uberall
Email: marketing@uberall.com
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