GeoSurge Exits Stealth To Boost Brand Visibility In AI Search

As AI increasingly influences everyday decisions, visibility within generative AI systems is becoming more commercially significant. Recent reports show that ChatGPT prompt volume rose by nearly 70% in the first half of 2025, while shopping-related queries doubled over the same period.

In this context, appearing in LLM-generated responses can influence consumer consideration, while brands that are not surfaced may be less likely to be evaluated.

geoSurge's data indicates that even well-known brands can lose visibility between GPT releases. The company's platform helps organizations assess how their brands appear in LLM-generated responses, identify weaknesses in their representation, anticipate the impact of upcoming releases and take proactive steps to improve and maintain visibility as models evolve.

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geoSurge’s approach, called "corpus engineering," is designed to strengthen how large language models learn, store, and surface brand information, aiming to make generative visibility more stable across model updates.

Francisco Vigo, co-founder and CEO of geoSurge, explained: LLMs don’t pull from a live index. They generate answers from compressed memory that shifts with every update. That means a brand can go from ‘high visibility’ to ‘completely gone’ overnight - and most organisations won’t even know it’s happened.

Founded in London, geoSurge works with companies across retail, travel, fintech, and consumer services, helping them maintain visibility in AI-driven discovery as large language models (LLMs) continue to evolve.

About geoSurge

geoSurge helps brands shape AI to reflect their identity in a changing discovery landscape. By optimizing presence within large language models it turns AI memory into visibility ensuring brands are recalled not just clicked.