geoSurge
geoSurge is a generative engine optimization platform that helps brands shape how AI systems like ChatGPT, Claude, and Gemini represent them in generated answers. The company pioneered Corpus Engineering, which focuses on influencing the parametric memory of AI models rather than chasing volatile search rankings. Its platform tracks brand mentions across AI models and provides tools to shape model probabilities at the logit level.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Marketing Technology
- Software Only
Funding
Founders
Product
Problem
Generative AI systems are becoming a primary layer of discovery, but unlike traditional search engines that rank links, they generate answers from what they have learned. This means brands can be misrepresented or omitted entirely from AI-generated responses, as models rely on their internal knowledge rather than surfacing ranked results. Companies have limited visibility into how they are described, recalled, or positioned inside these AI systems.
Solution
geoSurge provides a generative engine optimization platform that helps brands understand and shape how they are represented inside AI models. The company pioneered the concept of Parametric vs Dynamic Visibility, distinguishing between durable model memory that brands can influence and volatile live retrieval that shifts with every model update. Through Corpus Engineering, geoSurge helps organizations feed models the right information so their brand representation stays accurate over time. The platform tracks brand mentions across ChatGPT, Claude, and Gemini, providing analytics on visibility and competitive positioning. Enterprise customers can work at the level of model logits to read and move the probabilities a model assigns to their brand, not just surface rankings.
Target Audience
Primary customers are enterprise brands and marketing teams that need to manage their visibility and representation inside generative AI systems, particularly those in competitive categories where AI recommendations significantly influence purchasing decisions.
Features
- Cross-model tracking dashboard monitoring brand mentions and context across ChatGPT, Claude, and Gemini with 90-day trend analysis
- Competitive visibility benchmarking showing brand share compared to competitors across AI models
- Logit-level probability analysis revealing the underlying signal a model assigns to a brand, beyond surface rankings
- AI crawler monitoring showing which bots (GPTBot, Gemini, Anthropic) reach a site and how often they ingest content
- Rephraser tool for shaping how models describe and recall brand information
- Tokenizer for understanding how models process brand-related content
- Real-time AI traffic classification distinguishing between traditional search and generative AI-driven visits