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Draft personalized outbound, recaps and forecasts for sales

Cursor's internal ChatGTM drafts signal-based outbound messages with personalized landing pages, call recap emails and follow-ups, and assembles the deal forecast.

Time saved
Not reported
Setup time
Not reported
Running cost
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Cost range
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Use case overview

Cursor's internal ChatGTM drafts signal-based outbound messages with personalized landing pages, call recap emails and follow-ups, and assembles the deal forecast.

Reported experience

  1. What they did

    ChatGTM sits on top of Salesforce, Gong, the data warehouse, LinkedIn and other sources, and pulls context live rather than from a stored repo. Each morning it drafts about 25 signal-based outbound messages, each with a landing page matched to the contact's stack and role. It also drafts call recaps and follow-ups, and before Thursday forecasts it scans every deal to assemble the forecast. Reps review and send through Gmail or Outreach.

  2. How it went

    A pilot group of 8 SDRs booked triple the qualified meetings, with the top two at 4x. Sales leaders also report AE ramp time down by more than 50%. These are the author's reported figures, from about 1.5 months of use.

  3. Worth knowing

    The core build took about two months with three people, on top of earlier failed attempts. George Hou says most GTM teams shouldn't build this, and he warns that long-running agent research gets slow and costly.

Example prompts

Try with Cursor
Using my notes on [prospect or account list] and these recent signals [news, hiring, product usage], draft a short personalized outbound email for each contact and a simple landing page outline tailored to each. Also write a call recap email for [call notes path] with follow-up steps. Give me all drafts in one file and do not send anything.