London-based deeptech AI company
geoSurge has launched out of stealth, focusing on helping brands understand and
improve how they are represented within large language models.
As AI increasingly serves as a
starting point for everyday decisions, visibility within generative AI systems
is becoming more commercially significant. Recent reports find that ChatGPT
prompt volume rose by nearly 70 per cent in the first half of 2025, while
shopping-related queries doubled over the same period. In this context,
appearing in LLM-generated answers can influence consideration, while brands
that are not surfaced may be less likely to be evaluated.
geoSurge says its data indicates that
even well-known brands can lose visibility between GPT releases. Its platform
helps organisations assess how their brands appear in LLM-generated responses,
identify weaknesses in representation, anticipate how upcoming releases may
affect them, and take steps intended to improve and maintain visibility as
models change.
geoSurge’s approach, which it
describes as “corpus engineering,” is designed to strengthen how large language
models learn, store, and surface brand information, with the aim of making
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, supporting visibility in
AI-driven discovery as LLMs evolve.