London-based AI startup geoSurge has raised €10 million in Seed funding to help brands understand and improve how they appear across AI-powered search and chat platforms.
The round was led by AlbionVC, with participation from Play Ventures, Octopus Ventures, Celero Ventures, Boost Capital, Passion Capital, Tuesday Capital, and several angel investors from Google DeepMind, Microsoft AI, and Signal AI.
As more people turn to ChatGPT, Gemini, Claude, and other AI assistants instead of traditional search engines, the way brands get discovered is changing. Instead of competing only for Google rankings, businesses now need to understand how AI models interpret and recommend them.
geoSurge is building the tools to measure and improve that visibility, giving companies a way to stay relevant as AI becomes the first place people go for answers.
Meet the Founders
geoSurge is led by Francisco Vigo, CEO and Co-Founder, and Jons Mostovojs, CTO and Co-Founder. Vigo, originally from Argentina, trained as an economist and data scientist before moving into AI infrastructure.
He developed geoSurge’s core concepts of Parametric Visibility and Corpus Engineering, building the company around the idea that AI models increasingly rely on what they already know instead of what they retrieve in real time. Under his leadership, geoSurge grew from launch to a multi-million ARR business within its first year.
Mostovojs brings the technical expertise behind the platform. An AI and machine learning specialist who has been building neural networks since his early teens, he has previously co-founded and scaled engineering teams as both a CTO and chief architect.
At geoSurge, he leads the company’s AI architecture, large-scale data systems and model infrastructure, helping turn its research into a platform that works across major AI models including ChatGPT, Gemini and Claude.
geoSurge’s Thesis Is Different
Most AI visibility platforms today focus on tracking prompts, monitoring citations, or measuring how often a brand appears in AI-generated answers. geoSurge believes that approach only looks at the surface. According to the company, rankings and citations can change quickly depending on the prompt, model updates, or retrieval systems, making them an incomplete way to measure long-term visibility.
Instead, geoSurge has built its platform around Corpus Engineering, a methodology designed to understand how AI models learn, remember, and represent brands over time. The company’s view is that retrieval-based answers can change instantly, but a model’s internal understanding of a brand is far more durable.
CEO Francisco Vigo sums up this idea with a simple statement: “As models know more, they search less.” geoSurge currently helps organizations monitor and improve their representation across major AI models, including ChatGPT, Gemini, and Claude, giving brands insights into how they are understood rather than just how often they are mentioned.
Why Investors See a Bigger Market
The launch of ChatGPT changed how people discover information online. Instead of opening multiple search results, users are increasingly asking AI assistants for direct answers. That shift has forced the entire search industry to adapt. Google accelerated the rollout of AI Overviews, Microsoft expanded AI across Bing, and nearly every major technology company is investing in conversational search. For brands, this creates a new challenge. It is no longer enough to rank well on search engines. Companies also need to understand how AI models interpret, recommend, and compare them.
That is the opportunity investors are betting on. geoSurge’s €10 million Seed round was led by AlbionVC, with participation from Play Ventures, Octopus Ventures, Celero Ventures, Boost Capital, Passion Capital, and Tuesday Capital.
The round also attracted angel investors from Google DeepMind, Microsoft AI, and Signal AI. Rather than backing another marketing SaaS company, these investors are betting on a much larger shift in how information is discovered online.
As AI becomes the first stop for product research, recommendations, and buying decisions, platforms that help businesses understand and improve their AI visibility could become a critical part of every company’s digital strategy.
