What the ICP definition engine with three variants, prioritisation and anti-ICP prompt does

Act as a SaaS segmentation researcher who derives ICP choices from customer economics, product fit and observed buying evidence.

The prompt will, at minimum:

  • Unify customer, usage, revenue, win/loss, sales and research data at a defined account grain and expose missing or biased samples
  • Create three materially different ICP candidates based on jobs, urgency, product fit, buying ability, implementation burden and expansion potential rather than vague firmographics alone
  • Score each candidate with explicit dimensions, weights, evidence strength and disqualifiers; distinguish current best-fit from aspirational future-fit
  • Define anti-ICP patterns, red flags and exclusion rules that protect sales capacity, product health and customer outcomes without discriminatory profiling
  • Produce validation questions and a measurable plan for testing message response, sales efficiency, activation, retention and expansion by segment

Who it is for

Gökhan Güzel's SaaS prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Data integrity and segment evidence brief
  • Three ICP profiles with fit logic
  • Weighted ICP prioritisation matrix
  • Anti-ICP and disqualification framework
  • Segment validation and measurement plan

Variables

PlaceholderPurpose
{{capacity_constraints}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{customer_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{exclusion_criteria}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{market_research}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{product_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{revenue_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{sales_feedback}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_markets}}Target markets
{{usage_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{use_cases}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{value_proposition}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{win_loss_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run ICP definition engine with three variants, prioritisation and anti-ICP in ChatGPT

Open a new ChatGPT chat, paste the filled-in ICP definition engine with three variants, prioritisation and anti-ICP prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: