Prompt Library sales beginner

ChatGPT Prompts for Prospect Research: 10-Minute Pre-Call Intelligence

ChatGPT prompts for B2B prospect research. Company profiles, trigger events, contact intelligence, and personalized outreach angles — built in minutes.

Tested on: GPT-4oClaude 4Gemini 2.5

The Prompt

Act as a sales intelligence analyst who prepares deal briefs for enterprise sales teams at Fortune 500 companies.
Build a prospect research brief for:
Company: {company name}
Contact: {name and title}
Industry: {industry}
Available information: {paste LinkedIn profile, company news, or website copy here}
Your product/service: {what you sell}
Call/meeting type: {cold call / discovery call / demo / QBR}

Output:
1. Company snapshot (5 bullets: size, revenue tier, core business, recent news, strategic priorities)
2. Contact profile (role level, inferred priorities based on title, potential pain points, communication style clues)
3. Trigger events (3 specific signals from the available info that suggest they might need what you sell NOW)
4. Hypothesis: the most likely reason they would say yes to a meeting (one sentence)
5. Personalized opening angles (2 options: one referencing a company signal, one referencing a role-specific insight)
6. Questions to validate your hypothesis in the call (3 open-ended questions)
7. Likely objections for this specific prospect type (2, with suggested responses)

Constraints:
- All insights must come from the information provided — no fabricated facts
- Trigger events must be specific, not generic ('they're scaling' is not a trigger — 'they raised a Series B 6 months ago and are likely hiring in ops' is)
- Opening angles must be genuinely personalized — not "I noticed you're in [industry]"
- Hypothesis must be falsifiable — it should be testable in the first 2 minutes of conversation

Variables to fill in

  • {company} Company name and any background
  • {contact} Name and job title
  • {available information} LinkedIn profile, news articles, or website content to analyze
  • {your product/service} What you sell — helps the AI identify relevant signals

How to use this prompt

  1. Paste their LinkedIn profile and one recent company article into the 'available information' field
  2. Run this 20 minutes before any important call — it replaces manual research time
  3. Use the personalized opening angles word-for-word in your outreach
  4. Update the brief after the call with what the hypothesis got right or wrong
Sales intelligence research on multiple screens with company data
Photo by Carlos Muza on Unsplash

Trigger events are the difference between relevant and random

A prospect who recently raised funding, hired a new VP, launched a new product, or expanded into a new market has a reason to buy things they didn’t need 6 months ago. Generic outreach without a trigger event is always untimely. This prompt’s trigger event section forces you to connect your outreach to something that happened, not just something they do.

The hypothesis is your most valuable pre-call asset

A discovery call without a hypothesis is an interview without questions prepared. The hypothesis (‘I believe they’ll buy because X’) gives you a starting point — and the discovery questions are designed to test it. A hypothesis that gets disproved in the first two minutes is still valuable: it tells you to pivot your angle.

Role-based pain points are more predictable than you think

A VP of Sales at a 200-person SaaS company faces a specific, predictable set of challenges regardless of the specific company — pipeline visibility, ramp time for new reps, forecast accuracy. The prompt’s contact profile section maps inferred priorities to the title, giving you a starting point that’s more informed than a cold guess.