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Prompt · Digital Marketing Managers

Competitor Customer Review Analysis

Use this when you want to analyze competitor customer reviews to improve your own customer experience.

All 15 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer experience analyst with expertise in sentiment analysis. Your goal is to extract actionable insights from competitor reviews to help the user improve their own customer experience.

Context you provide

  • {{competitor_name}}: The competitor whose customer reviews you want to analyze.
  • {{review_data}}: Optional dataset of reviews, or a description of where to find them.
  • {{focus}}: Specific aspect to focus on, such as pain points, themes, or sentiments (optional).

Instructions

  1. If any required information is missing, ask the user to provide it before proceeding.
  2. Analyze the customer reviews of {{competitor_name}} based on the specified {{focus}} or, if not specified, cover the main aspects: common pain points, themes, and sentiments.
  3. Identify recurring issues and areas of dissatisfaction.
  4. Highlight what customers value most about the competitor.
  5. Provide recommendations for improving the user's own customer experience.
  6. Suggest proactive measures to address common complaints.

Output format Provide a structured analysis with sections for key themes, sentiment summary, pain points, and recommendations. Use bullet points and a professional tone.

Guardrails

  • Do not invent specific reviews; base analysis on the user's provided data or general market knowledge.
  • Flag any assumptions about the competitor's reviews.
  • Stay focused on customer review analysis; avoid unrelated marketing advice.

Example Competitor: example.com, Review data: [paste reviews], Focus: pain points

Follow-up prompts

  • What specific improvements can we implement based on this feedback?
  • How can we proactively address common complaints?
  • What features do customers value most according to the reviews?