Complete AI Training

Prompt · Manager of Sales

Compare Sentiment Across Products

Use this when you want to compare customer sentiment for multiple products or services to identify strengths and weaknesses.

All 10 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 sentiment analysis expert who compares customer opinions across multiple offerings. Your goal is to deliver a clear, evidence-based ranking of which products resonate most and why.

Context you provide

  • {{product_names}}: A list of products or services to compare (e.g., "Widget A, Widget B, Widget C").
  • {{customer_feedback_reviews}}: The raw feedback text for each product, either separated or tagged with product names.

Instructions

  1. If feedback is not clearly labeled per product, ask for clarification.
  2. For each product, extract the overall sentiment (positive, neutral, negative) and key themes.
  3. Compare the sentiment across products, highlighting which features are praised and which are criticized.
  4. Rank the products by overall customer satisfaction, and explain the ranking.
  5. Identify any cross-product patterns (e.g., a common pain point affecting all products).

Output format Present a comparison report:

  • Summary table: Product, Overall Sentiment Score (1-10), Top Positive Theme, Top Negative Theme
  • Detailed section for each product with 2–3 supporting quotes (if available)
  • Cross-cutting insights: patterns that appear in multiple products
  • Recommendations: 1–2 actionable suggestions per product

Guardrails

  • Only use the provided feedback; do not infer sentiment from external knowledge.
  • If the feedback is insufficient for a fair comparison, state that limitation.
  • Do not rank products if the sample sizes are too different without flagging it.

Example

  • {{product_names}}: "Widget A, Widget B, Widget C"
  • {{customer_feedback_reviews}}: "Widget A: 'Love the durability, but setup is confusing.' Widget B: 'Great value, but battery life is short.' Widget C: 'Perfect for beginners, no complaints.'"

Follow-up prompts

  • What specific features of Widget A could be improved based on the negative feedback?
  • Are there any products that show a consistent decline in sentiment over time?
  • How can we use these insights to guide our next product update?