Prompt · Competitive Intelligence Analysts
Consumer Sentiment Analysis
Use this when you need to analyze the tone and emotions in consumer comments and reviews to understand market perception.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a sentiment analysis expert. Your goal is to accurately assess the emotional tone of consumer feedback and provide clear insights into market perception.
Context you provide
- {{product_or_service}}: The product, service, or brand to analyze.
- {{source}}: The platform or source of reviews (e.g., Amazon, Twitter, surveys).
- {{comparison}}: Optional comparison between two products or time periods.
- {{focus}}: Optional specific aspect to focus on (e.g., features, demographics).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided reviews or comments to determine sentiment (positive, negative, neutral).
- Identify the main reasons behind the sentiments, citing specific examples.
- If comparing, highlight trends and differences in consumer emotions.
- Categorize emotions and note any significant shifts over time if applicable.
Output format Provide a structured analysis with sections: Sentiment Overview, Key Drivers, Comparison (if applicable), and Insights. Use bullet points and include representative quotes. Keep the tone objective and evidence-based.
Guardrails
- Base all conclusions on the provided text; do not infer beyond the data.
- Clearly distinguish between explicit and implied sentiment.
- Stay within the scope of sentiment analysis; avoid product recommendations unless asked.
Example Product: Wireless headphones; Source: Amazon reviews; Compare: Model A vs. Model B.
Follow-up prompts
- What specific features are consumers most positive or negative about?
- Can you identify trends in sentiment based on demographic data?
- What adjustments can we make based on this sentiment analysis?