PreIntent

Every sales team wants to reach buyers early. But today’s B2B intent tools mostly watch the same obvious signals: website visits, content clicks, review activity, and ad engagement. By the time these signals appear, the buyer is already comparing vendors, talking to competitors, or entering an RFP. PreIntent starts from a different belief: the best buying intent does not begin on your website. It begins in the market, before the buyer raises their hand. PreIntent is a convergent GTM intelligence assistant that detects early demand by monitoring three invisible signal layers: 1. Void Scanner Using Bright Data, PreIntent tracks what competitors remove from pricing pages, feature tables, and partner directories. A removed feature, hidden price, or dropped partner can reveal abandoned customers who may soon need a new solution. 2. Compliance Radar PreIntent parses new regulations through AI/ML APIs, maps them to target accounts, and scores deadline pressure. This helps sales teams identify companies that may need to act before they even start searching. 3. Pain Listener Using Featherless AI and Speechmatics, PreIntent analyzes Reddit discussions, community posts, and podcast transcripts to detect practitioner frustration, evaluation language, and active buying pain. The core innovation is the Convergence Engine. Instead of treating each signal separately, PreIntent combines competitor voids, regulatory pressure, and public pain into a single account-level score from 0 to 100. When the score crosses 85, the system automatically creates a Slack alert, CRM task, and AI-generated Intel Brief with evidence, reasoning, and a ready-to-send opening line. PreIntent is not another lead list. It is an early-warning system for GTM teams, helping them act 30 to 90 days before an account becomes visible in traditional intent platforms.