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Competitive Moat And Defensibility Analyser

GPTClaudeGemini··1,287 copies·updated 2026-07-14
competitive-moat-and-defensibility-analyser.prompt
# Competitive Moat and Defensibility Analyser

**Domain:** Business Model and Strategy
**Level:** 🔵 Practitioner

> Identify and evaluate competitive moat strength across network effects, switching costs, brand, proprietary data, and technology. Produces an honest assessment of how defensible this business will be at scale.

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## Variables

Fill in every `[BRACKETED_VARIABLE]` before running. Do not leave any bracket unfilled.

| Variable | What to Enter | Example |
|----------|---------------|---------|
| `[BUSINESS_DESCRIPTION]` | What the business does | e.g. AI compliance monitoring SaaS for UK financial services, trained on FCA handbook data |
| `[CURRENT_MOAT_CLAIMS]` | What you believe makes the business hard to copy | e.g. Proprietary FCA training dataset, 18-month head start on UK-specific regulatory data, CCO community relationships |
| `[STAGE]` | Where the business is today | e.g. Pre-revenue, 3 design partners, first product launch in 60 days |
| `[WELL_FUNDED_COMPETITOR_SCENARIO]` | Describe the most dangerous competitive entry you can imagine | e.g. ComplyAdvantage raises £50m and launches a UK-specific compliance module within 12 months |

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## The Prompt

Copy everything in the code block below. Replace all `[VARIABLES]`. Paste into Claude, GPT-4o, Gemini, or any capable LLM.

when to use it

Community prompt sourced from the open-source GitHub repo KunalCyber/ultimate-prompt-library-for-founders (MIT). A "Competitive Moat And Defensibility Analyser" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

marketingcommunitygeneral

source

KunalCyber/ultimate-prompt-library-for-founders · MIT