geoSurge raises $12M behind a new thesis for AI visibility
geoSurge, the AI company helping brands shape how they are represented inside generative AI systems, has announced an oversubscribed $12 million Seed round led by AlbionVC, with participation from Play Ventures, Octopus Ventures, Celero Ventures, Boost Capital, existing investors Passion Capital and Tuesday Capital, alongside angel investors from Google DeepMind, Microsoft AI, and Signal AI.
Founded just over a year ago, geoSurge has seen rapid adoption from brands looking to understand how they appear inside AI systems such as ChatGPT, Gemini, and Claude – platforms rapidly becoming a new layer for search, discovery and decision-making.
Unlike many AI visibility providers focused on citation tracking and retrieval, geoSurge is built around the belief that the greater opportunity lies in understanding and impacting how AI models learn, understand and represent brands over time.
The company combines visibility monitoring with a proprietary methodology called Corpus Engineering, an approach designed to improve how organisations are accurately represented across leading AI systems. geoSurge’s framework spans both what AI systems retrieve in real time and what they already understand internally, reflecting the company’s belief that AI visibility increasingly depends on both retrieval and learned understanding.
geoSurge supports organisations ranging from venture-backed startups to global enterprises, helping them understand and improve how they are represented within AI-generated responses. Today, the company works with customers across four continents and multiple industries, including Financial Services, Education and Hospitality. Since emerging from stealth in 2025, the company’s headcount has doubled. Reflecting geoSurge’s fundamentally technical approach to AI visibility, 80% of employees specialise in AI and data science.
Francisco Vigo, CEO and Co-Founder of geoSurge said: “A lot of the market is still thinking about AI visibility like SEO and citation tracking. We believe that’s fundamentally wrong. As a data scientist I look at these systems differently; the real battleground is how models learn, understand, remember and represent brands over time.
“As models know more, they search less. Most companies in our space are still optimising for retrieval but we know the bigger opportunity is understanding and impacting the representations that increasingly drive AI-generated outputs.
“Prompt-level tracking and surface analytics will increasingly commoditise as AI infrastructure matures. Most of the current market is focused on the visible surface of AI systems, we believe that is a race to the bottom. The deeper opportunity is helping companies impact the underlying representation layer that drives those outputs. That’s what geoSurge is building.”
AlbionVC Investment Manager, Valérie Aelbrecht said geoSurge stood out because of its technical depth and long-term positioning. “The geoSurge team combines exceptional technical capability with a genuinely original market thesis,” she said. “They are building foundational technology for a category we believe will become increasingly important as AI systems shape more commercial decisions.”
As enterprises adapt to a world where AI-generated answers increasingly impact discovery and purchasing behaviour, geoSurge believes AI visibility will become a core strategic function for modern brands.
“Every major platform shift creates a new visibility economy,” said Vigo. “Search yielded SEO. Social yielded creator economies. AI is creating an entirely new representation layer between companies and customers.
“The entire internet monetisation model will need to be rethought. What does an impression mean when an AI agent is making decisions on behalf of a user? What happens now customers no longer browse ten websites before making a purchase?
“We believe this is only the beginning. We’re at the start of the fourth industrial revolution.”
The company plans to use the funding to expand its global research and engineering teams, invest in AI infrastructure and compute capacity, and accelerate development of its Corpus Engineering discipline and broader AI visibility capabilities as demand from enterprise organisations continues to grow.
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