London-based AI visibility startup geoSurge has raised $12m (£9.4m) in an oversubscribed seed funding round.
Founded in 2025, geoSurge provides tools to help businesses track and manage how their brands are represented within generative AI systems like ChatGPT, Gemini, and Claude.
According to the firm, instead of focusing on real-time search citation tracking—a practice often dubbed “LLM optimisation”—geoSurge targets the underlying data models. Its core platform aims to influence how AI systems internally understand and retain brand information over time.
“A lot of the market is still thinking about AI visibility like SEO and citation tracking,” said Francisco Vigo, CEO and co-founder of geoSurge.
“As a data scientist, I look at these systems differently; the real battleground is how models learn, understand, remember and represent brands over time.”
Vigo added that surface-level prompt tracking will likely become commoditised as AI infrastructure matures.
“Most of the current market is focused on the visible surface of AI systems… The deeper opportunity is helping companies impact the underlying representation layer.”
The capital injection will be used to scale the company’s engineering teams, invest in compute infrastructure, and develop its proprietary “Corpus Engineering” framework.
The round was led by AlbionVC and also saw participation from Play Ventures, Octopus Ventures, Celero Ventures, Boost Capital, and existing backers Passion Capital and Tuesday Capital. Angel investors from Google DeepMind, Microsoft AI, and Signal AI also backed the round.
The startup claims its headcount has doubled since emerging from stealth last year, with technical staff in AI and data science roles making up 80% of its workforce. It currently serves enterprise clients across financial services, education, and hospitality.
“The geoSurge team combines technical capability with a genuinely original market thesis,” said Valérie Aelbrecht, investment manager at AlbionVC.
“They are building foundational technology for a category we believe will become increasingly important as AI systems shape more commercial decisions.”
