NextLM AI Prospecting Agent

This agent identifies the roughly 3% of a market that is actively researching solutions in any quarter, by name, from behavior observed across the open web as it happens. That lets sales reps stop spending outbound hours on the 97% who are not in-market.

Reps work with an agent named Stuart. Asked who is in-market, Stuart returns prospects with the evidence behind each one: the research the person did across the open web on pages that align to the customer’s ICP and product, not just on the customer’s own site. Each prospect comes with an Intel report and a confidence score explaining the behavior that flagged them. Stuart also maps the buying committee around each prospect so outreach can be multi-threaded. Behind it is a private model trained on the customer’s closed deals that learns from won, lost, and reply outcomes and is never shared with other customers. In Gemini, Stuart can be invoked directly or chained into Agent Designer workflows.