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geoSurge

Category: AI in Marketing

AI visibility platform helping brands measure, understand, and improve how they are represented inside generative AI systems like ChatGPT, Gemini, and Claude. geoSurge was founded in 2025. The company is led by Francisco Vigo. Based in London, United Kingdom. Team size: 11-50. Total funding raised: $12M. Latest round: Seed. Key investors include AlbionVC, Play Ventures, Octopus Ventures, Celero Ventures, Boost Capital, Passion Capital, Tuesday Capital.

Founded
2025
Headquarters
London, United Kingdom
Team size
11-50
Total funding
$12M

Value proposition

Pioneers "Corpus Engineering" — a proprietary methodology to improve how AI models learn, store, and surface brand information. Focuses on parametric visibility (model memory) rather than dynamic visibility (live retrieval/RAG), making brand representation durable across model updates.

Products and solutions

geoSurge platform: MEASURE (track brand visibility across ChatGPT, Claude, Gemini), EXPLORE (identify improvement areas), BOOST (Corpus Engineering to shape model memory). Enterprise features: Probabilities (logit-level analysis), Tokenizer (inspect model tokenization), Crawls (AI crawler traffic classification), Rephraser (corpus optimization). Free self-serve tier available.

Unique value

Only AI visibility platform focused on the underlying representation layer inside AI models (parametric visibility via Corpus Engineering), not just surface-level citation tracking or SEO-like ranking. Differentiates between what models retrieve in real-time vs. what they already know from training.

Target customer

Brands, agencies, and enterprises across financial services, education, hospitality, retail, travel, fintech, and consumer services — ranging from venture-backed startups to global enterprises.

Industries served

Financial Services, Education, Hospitality, Retail, Travel, Fintech, Consumer Services

Technology advantage

Proprietary Corpus Engineering methodology; Parametric vs Dynamic Visibility framework; logit-level probability analysis; AI crawler classification across GPTBot, Gemini, Anthropic, PerplexityBot, and others; multi-model tracking across ChatGPT, Claude, Gemini simultaneously.

How they differentiate

Unlike competitors focused on citation tracking and retrieval optimization (SEO for AI), geoSurge targets the model's internal memory/representation layer. Their "Corpus Engineering" approach aims to make brand visibility durable across model updates rather than chasing volatile RAG-based rankings. 80% of employees are AI/data science specialists.

Main competitors

Searchable (London, raised €11.9M at €72.1M valuation for AI-led search visibility), Lemrock (Paris, agentic commerce infrastructure), DOJO AI (Lisbon, AI marketing platform)

Key partnerships

Keenfolks X_ network (founding technology partner)

Major milestones

Founded April 2025, Emerged from stealth December 2025 with research on "disappearing brands" across GPT model versions, Doubled headcount since stealth launch, Multi-million ARR within first year, Raised $12M Seed round July 2026, Customers across 4 continents

Growth metrics

Multi-million ARR within first year; doubled headcount since stealth launch; 80% of employees in AI/data science roles; customers across 4 continents

Market positioning

Pioneer in the emerging Generative Engine Optimization (GEO) category. Positions itself as the infrastructure layer for AI visibility, analogous to what SEO was for web search. Claims multi-million ARR within first year of founding.

Geographic focus

Global — customers across four continents. HQ in London, UK.

About Francisco Vigo

Ex-Chief Data Scientist at Zilch (fintech unicorn); Senior Data Scientist at Sensor Tower (Mobile Insights Gaming Analyst); Miniclip. Trained as economist and data scientist (MSc Business Analytics & Big Data).

Official website: