Audika’s Success with the Industry’s First GEO Studio

The AI Identity Crisis

For decades, Audika France has been a leader in hearing health, relying on a hard-earned reputation for expertise. They initially turned to Uberall to solve the complexity of managing local visibility, to streamline the moderation of Google reviews at scale, and to engage with consumers on the social platforms they visit. By establishing this Location Performance Optimization foundation, Audika ensured that every clinic was discoverable and reputable.

However, as Generative Engine Optimization (GEO) began to transform the search landscape, a new risk emerged: AI erasure. Traditional SEO tools could track rankings, but they couldn't tell Audika what AI was saying about them behind the scenes. Audika realized that if they weren't proactive, AI models might overlook their local clinics or, worse, misrepresent their brand’s unique value to potential patients.

We sat down with the Audika France team to get an exclusive look at their experience as early adopters of Uberall’s GEO Studio and how they are navigating this new frontier of AI-driven discovery.

Winning the Prompt: Moving From Keywords to Conversations

Audika recognized that the rules of discovery had changed. They were no longer just competing for keywords on a results page; they were competing for trust within a machine-led conversation. As one of the first clients to leverage the Uberall GEO Studio, Audika shifted its strategy from static visibility to dynamic influence.

By leveraging the industry's first GEO-specific toolset, Audika began:

1. Cracking the AI black box: Audika used GEO Studio to move beyond simple keyword tracking and peer into the “black box” of AI discovery. By testing how various LLMs (like GPT-4 and Gemini) interpret their brand, they gained a clear view of which specific attributes such as “premium service” or “expert audiologists” were actually being recognized. This allowed them to benchmark their Share of Recommendation against local competitors, ensuring they weren't just present, but consistently preferred by the algorithm.

2. Closing the recommendation gap:  Visibility in the AI era is often binary; you are either recommended or you are invisible. Audika identified “data voids” where AI engines lacked enough structured information to confidently suggest their clinics. GEO Studio provides the capability to generate and automatically deploy targeted, high-authority content to bridge these gaps. For Audika, this means having the infrastructure ready to turn invisible locations into consistent AI recommendations at scale.

3. Optimizing for the answer engine: Understanding that AI engines crave context, Audika moved beyond static metadata to provide rich, conversational data. They used GEO Studio to produce AI-ready signals, such as hyperlocal FAQs and expert-led review responses. These signals act as food for the generative ecosystem, ensuring that when an AI reads a location, it finds the exact evidence it needs to validate Audika as the top local choice.

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The Signal vs. The Noise: Turning AI Data into Strategy

The insights from GEO Studio were transformative. Audika discovered that the signals AI used to recommend a hearing clinic were often different from traditional ranking factors. In some regions, AI was picking up on unfiltered web data that didn't reflect Audika’s current pricing or service standards.

By isolating these signals, Audika was able to:

• Recalibrate brand perception: Update local digital profiles to ensure the expert care and premium service signals were stronger than the noise.
• Benchmark authority: For the first time, Audika could measure its Share of Reach, giving them a clear metric for success in the post-search era.

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To ensure these GEO strategies were executed across their entire network, Audika utilized UB-I, the first AI agent for location performance. 

UB-I empowered Audika to:

• Automate brand-aligned responses: UB-I writes on-brand review replies and social posts, ensuring the expert care signals detected by GEO Studio are reinforced in every customer interaction.
• Proactive presence management: Instead of waiting for manual updates, UB-I proactively identifies and fixes listing inconsistencies that could confuse AI engines.
• Data-driven execution: By analyzing sentiment patterns and performance trends, UB-I helps Audika prioritize the high-impact tasks that move the needle for both human searchers and AI agents.

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The New Local Standard: Intelligent, Not Just Visible

Audika France is no longer just “on the map;” they are integrated into the logic of the engines that guide modern consumer decisions. 

The strategy combines the Location Performance Score (LPS), which acts as a strategic compass to pinpoint critical gaps across the pillars of visibility, reputation, and engagement. GEO Studio then provides a specialized AI lens, allowing the team to benchmark against competitors in generative results and publish the hyperlocal, LLM-ready content that AI engines crave.

The ecosystem is powered by UB-I, the AI agent that handles the heavy lifting of execution — autonomously managing listings, reputation, and boosting engagement to ensure the brand is optimized everywhere AI looks.

Audika France isn’t just waiting for the future of search — they are the ones defining it.