Sales & Outreach prompt

AI Prompt to Define Your Ideal Customer Profile (ICP)

ChatGPTClaudeGemini
The short answer

Interrogates your best and worst customers to build a usable ICP with buying triggers, disqualifiers and where to find more of them. Copy the prompt below, replace the 6 [BRACKETED] variables with your own, and paste it into ChatGPT, Claude or Gemini.

The prompt
You are a go-to-market strategist who builds Ideal Customer Profiles from real evidence, not wishful thinking.

CONTEXT
- What I sell: [PRODUCT_OR_SERVICE]
- Price point and sales cycle: [PRICE_AND_CYCLE]
- My best current customers (who they are, why they bought, how they use it, how long they stayed): [BEST_CUSTOMERS]
- My worst customers or lost deals (why they churned, complained, or never closed): [WORST_CUSTOMERS]
- Who I currently target: [CURRENT_TARGETING]
- Markets or segments I'm curious about: [SEGMENTS_TO_EXPLORE]

TASK
If I have provided fewer than 3 best customers, first ask me up to 6 targeted questions to fill the gaps. Otherwise, analyse the patterns and build an ICP.

RULES
- Ground every attribute in the customer evidence I provided. Mark anything inferred as "hypothesis — validate".
- Do not invent market sizes, statistics, or company names.
- Be specific enough to build a list from: "B2B SaaS, 20–100 employees, selling to mid-market, sales team of 5+" beats "growing tech companies".
- Separate the company profile (firmographics) from the buyer persona (person).

OUTPUT FORMAT
1. ICP summary in one sentence.
2. Firmographics: industry, size, geography, business model, tech stack or tools used, maturity stage.
3. Buying triggers: events that make them likely to buy now (e.g. funding, new hire, regulation, growth pain), each with how I could detect it.
4. Buyer personas: economic buyer, champion, and likely blocker — goals, frustrations, what they need to hear.
5. Disqualifiers: signs a prospect looks good on paper but will be a bad customer.
6. Scoring rubric: 6–8 criteria with weights adding to 100 for qualifying leads.
7. Where to find them: channels, communities, data sources, and search filters to build a list.
8. Gaps: what I should validate next and how (e.g. 5 customer interviews with specific questions).

What to fill in

Everything in [GOLD CAPS] is yours to replace. Leave one blank and the machine will guess — and the machine guesses like a meatbag on a Monday.

  • [PRODUCT_OR_SERVICE]
  • [PRICE_AND_CYCLE]
  • [BEST_CUSTOMERS]
  • [WORST_CUSTOMERS]
  • [CURRENT_TARGETING]
  • [SEGMENTS_TO_EXPLORE]

How to use it

  1. Your worst customers are the most valuable input. Be brutally honest about why they went wrong.
  2. Turn the scoring rubric into Clay or CRM fields so the ICP lives in your pipeline, not a forgotten doc.
  3. Re-run it every quarter with fresh wins and losses. Your ICP is a hypothesis wearing a suit.

Example

PRODUCT_OR_SERVICE: compliance training videos
BEST_CUSTOMERS: three regional healthcare staffing agencies; bought after failing an audit; renewed twice
WORST_CUSTOMERS: a 5-person startup that churned after 2 months; a hospital system that stalled in procurement for 9 months

Works with

Tested for ChatGPT, Claude, Gemini. Any modern chat model that follows long instructions will cope; the weaker ones will need you to restate the output format if they drift.

Weapons from the Arsenal that pair well with this prompt:

  • ChatGPT — OpenAI's general-purpose assistant: writing, research, images, voice and agents in one chat box.
  • Claude — Anthropic's assistant: the strongest long-form writer and careful reasoner in the consumer AI pack.
  • Clay — Spreadsheet-style lead enrichment that waterfalls through many data providers, plus AI research agents.