gos-cliente-radar

Prospect briefing research can be automated by running four parallel subagents that search public data to map the company, decision-maker, three direct competitors, and three top players. This generates a concise, ready-to-use briefing document for your sales meeting.

The best way to prepare a sales briefing from public data is to use a parallel research process that investigates the prospect company, its decision-maker, and its competitors. This delivers a structured profile document with gaps, hooks, and SPIN questions for the meeting.

Yes, you can generate a prospect briefing by entering the company name, sector, and an optional URL. The system uses these inputs to search public data and produces a structured briefing file written to the client's profile directory.

You can map direct competitors and top players by running parallel research subagents that search public data. The process identifies three direct competitors and three top players, integrating the findings into a concise briefing document.

Yes, automated prospect research updates memory ledgers and client indexes automatically. Along with generating the briefing file, the system applies index updates to the client directory and maintains records in related memory paths for future sales steps.

When researching prospects with public data, you are limited to publicly available information. The system cannot access private company records or internal databases, so the briefing relies solely on external sources for mapping the company, decision-maker, and competitors.