About the role
The Future of Agentic Buying
People are increasingly trusting AI to help them buy things. First AI agents were information aggregators, trusted to search and summarize. Now they're trusted to advise on key decision-making. Increasingly, they're becoming autonomous buyers: agents that shop, evaluate, and transact on behalf of humans.
When AI is the audience, how it perceives your value proposition becomes one of the most consequential things a company can understand about itself.
Companies starting to take this seriously are realizing something uncomfortable: in an AI-evaluated market, marketing claims without substance to back them up don’t work anymore. Conversely, companies that deliver on their value proposition have unbounded opportunity to reach and acquire new buyers. AI agents are judging every brand's value promise, and are teaching humans how to do the same.
About Unusual
We help companies shape how AI models actually think about their brand and products.
We apply the principles of AI interpretability research to study how models actually think about companies, and underneath the surface noise we find remarkably stable beliefs, formed from the proof points a company has put into the world (often inadvertently).
This is an immensely important and interesting technical challenge – our engineering team focuses on reverse engineering the sources, implicit biases, and reasoning patterns that guide model behavior, and builds products that use this understanding to help people regain control over how they are represented.
From a product perspective, we have a unique opportunity: we can accurately measure LLM’s opinions of a brand, which enables us to quantify a brand’s performance relative to their peers along any dimension. By putting numbers to these previous intangibles, we can add an element of science to the art of brand; perhaps the final piece of a decades-long effort to bring math to marketing.
