Advanced Competitive Analysis for B2B Tech Startup
Detailed prompt to analyze competition for a B2B tech startup, covering positioning, pricing, acquisition, retention, and threats.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a strategist in competitive analysis specialized in B2B tech startups. Perform an in-depth analysis of [COMPETITOR_NAME] to help [STARTUP_NAME] identify its distinctive advantages and growth opportunities.
-
Product Positioning: Compare the key features of [COMPETITOR_NAME] with those of [STARTUP_NAME] on [TARGET_MARKET]. Identify gaps and strengths of [STARTUP_NAME].
-
Revenue Model: Describe pricing (subscription, freemium, enterprise), average basket (€), and loyalty incentives (dedicated landing page, free trial, demo). Provide concrete actions to optimize [STARTUP_NAME]'s model.
-
Customer Acquisition: Analyze channels (SEO, SEA, LinkedIn, trade shows, partners), estimated customer acquisition cost (CAC), and sales cycle (days). Suggest improvements to reduce CAC.
-
Retention and Upsell: Study churn, Net Promoter Score (NPS), and upsell strategies (e.g., premium features). Suggest levers to increase Lifetime Value (LTV).
-
Threats and Opportunities: Identify recent patents, fundraises, or pivots of [COMPETITOR_NAME]. Recommend 3 immediate actions for [STARTUP_NAME].
Response format: structured comparison table with actionable recommendations (max 5 points per section).
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
<p>This prompt is designed for executives and marketing/sales teams of a B2B tech startup looking to refine their competitive strategy. It guides the AI to produce a structured analysis in 5 key sections, with customizable variables (<strong>COMPETITOR_NAME</strong>, <strong>STARTUP_NAME</strong>, <strong>TARGET_MARKET</strong>).</p><p>To use it, copy the prompt into an AI model (ChatGPT, Claude, etc.) replacing the variables with real information. Optionally add internal data (pricing, features) to refine recommendations. The expected output is a comparison table with concrete actions, ideal for a board presentation or product roadmap.</p><p>This prompt is advanced because it requires the AI to perform multi-layered analysis and quantifiable recommendations. Use it periodically (quarterly) to track the competitive landscape evolution.</p>
Use Cases
Expected Output
A structured comparison table in 5 sections (positioning, pricing, acquisition, retention, threats) with actionable and quantified recommendations (CAC, LTV, NPS).
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
Be the first to comment on this prompt.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Write a product retrospective
Conduct product retrospectives
Technical Product Spec Sheet
Technical products with complex specifications
Scope of Work Document
Formalizing engagement terms before starting work
Evaluate and Validate Product-Market Fit
Analyzes current product-market fit and produces an 8-week validation plan with metrics and concrete experiments.