I spent ten years finding out what makes companies buy. Now I work on a narrower question: whether an AI assistant names your brand when someone asks it who to use.
Ten years in revenue and client partnerships, across Amazon, ValueLabs and Eastern Enterprise. The common thread was sitting with people while they decided whether to buy something, and watching where that decision actually got made.
For most of that time it got made on a search results page. That has changed, and it changed faster than most companies noticed.
Buyers now ask an assistant before they ask a vendor. The assistant answers with two or three names. If yours is not among them, you are not in a worse position than your competitor — you are not in the conversation at all.
Almost nobody was measuring this properly. People would ask ChatGPT about their category once, see what came back, and draw a conclusion. That is a sample of one, against a system that visibly gives different answers to the same question.
So the first thing I built was a measurement method, not a service: five buyer questions, run twice each, across ChatGPT, Perplexity and Google's AI Overview. Thirty runs, every transcript saved. The whole method is published — you can run it yourself without paying anyone.
Email rohit.kumar@rudraintelligence.com, or connect on LinkedIn. If you would rather just see the data, book the free audit — 48 hours, no obligation.
30 runs across ChatGPT, Perplexity and Google AI Overviews. Every transcript saved.
Book a free audit