nBlick
Helping brands understand and improve their performance in LLMs
nBlick is an analytics platform that monitors how Large Language Models like ChatGPT, Claude, and Gemini describe and position a brand relative to its competitors. It simulates real user personas generating thousands of prompts across multiple AI models, then parses responses to extract mentions, sentiment, and competitor comparisons. Brands use these insights to identify content gaps and improve their visibility in AI-driven discovery channels.
Users define their brand, competitors, and customer personas; nBlick then sends thousands of simulated prompts to multiple LLMs, parses the responses, and surfaces structured metrics on brand mentions, sentiment, and positioning.
brand marketers and CMOs at companies competing for visibility in AI-generated search results
Background.
- Status
- launched
- Business model
- unknown
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.