No executive announces M&A intent in a press release until the ink is dry. But put the same executive in hour two of a comfortable podcast and the discipline slips beautifully: "that's a space we think about a lot," "we've looked at a few things there," "build versus buy is a live conversation for us." Each phrase is nothing; the pattern is a pipeline.

Corp-dev teams pay bankers largely for this — a human network that hears who's acquisitive and who's for sale. The public layer of that same intelligence sits in hundreds of hours of long-form audio: executives at targets signaling openness, executives at rivals signaling appetite, board members musing about consolidation. Nobody listens to all of it. The team that does, hears deals forming a quarter early.

deep_search monitors the chatter at scale: sweep your target list and your rivals' leadership against podcast and interview content, recency-filtered, and evidence timestamps land you on the exact minute the strategic musing happens — no scrubbing hour-two-of-three for one sentence.

deep_query reads the pattern: ask what a company's leadership has signaled about acquisitions, divestitures or consolidation across their recent appearances, and get a synthesized read cited to each moment. Run it target-by-target for the pipeline review, or space-by-space ("who's signaling appetite in <segment>?") for the landscape view. The banker network stays valuable — but you stop being the last to hear what was said out loud.