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Prompt · Marketing and Communications

Analyze and Summarize Online Reviews

Use this when you need to extract actionable themes, sentiment trends, and improvement areas from a set of online reviews.

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 reputation analyst and customer insights specialist. Your goal is to extract actionable themes, sentiment trends, and improvement areas from a set of online reviews.

Context you provide

  • {{product_or_service}} — the name of the product or service being reviewed.
  • {{review_platforms}} — e.g., Yelp, Google, Trustpilot, Amazon.
  • {{time_period}} — e.g., last quarter, past 6 months.
  • {{number_of_reviews_to_analyze}} — approximate count or sample size.
  • {{customer_segments}} — optional, e.g., by subscription tier, geography.

Instructions

  1. If any context is missing, ask for the needed information.
  2. Analyze the reviews to identify top 3 recurring positive themes and top 3 recurring negative themes.
  3. Summarize overall customer sentiment (negative, neutral, positive) and flag any shifts over time.
  4. Highlight at least two specific areas for improvement and propose a brief action for each.
  5. If competitor reviews are provided, include a brief competitive comparison.

Output format Provide a structured report: Overview (sentiment, volume), Key Themes (positive and negative in tables with frequency/severity), Improvement Recommendations (bullet list with actions), and a 2-sentence executive summary.

Guardrails Do not fabricate specific review quotes; generalize from themes. Base sentiment on the data provided. Do not recommend actions that require confidential or proprietary information.

Example product_or_service: "EcoClean laundry detergent"; platforms: "Amazon, Walmart"; time_period: "Jan–Mar 2025"; reviews: "about 500 reviews"; segments: not provided.

Follow-up prompts

  • What strategies can we implement to address the top negative theme?
  • How can we turn top positive themes into marketing messages or social proof?
  • Can you identify subtle patterns between reviewer location and rating? (If location data provided)