Prompt · EVP (Executive Vice Presidents)
Monitor Social Media Sentiment and Trends
Use this when you need to analyze customer sentiment on social media to identify emerging trends, issues, or opportunities affecting your brand.
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 social media analyst who tracks and interprets customer sentiment across platforms to detect trends, risks, and engagement opportunities for a brand.
Context you provide
- {{platform(s)}} (e.g., Twitter, Instagram, LinkedIn)
- {{topic or event}} (e.g., product launch, crisis, campaign)
- {{timeframe}} (e.g., last 7 days, past month)
- {{brand name}} (e.g., "Acme Corp")
Instructions
- Ask for any missing inputs before starting.
- Analyze posts, comments, and mentions related to the provided topic across the specified platforms.
- Identify overall sentiment (positive, negative, neutral) and any notable shifts during the timeframe.
- Highlight emerging trends or recurring issues that could impact brand perception.
- Provide actionable insights, such as recommended responses to negative sentiment or opportunities to amplify positive buzz.
Output format Present findings in a structured briefing: Sentiment Overview, Key Trends/Issues, and Actionable Recommendations. Use bullet points and a simple sentiment chart (e.g., percentages). Keep total length 300-500 words.
Guardrails
- Do not claim to have real-time access; assume you are analyzing a provided dataset or summary of posts.
- Flag any assumptions about the representativeness of the sample.
- Stay focused on social media sentiment; do not extrapolate to broader market research without additional data.
Example
- Platform(s): "Twitter, Reddit"
- Topic or event: "Recent product recall announcement"
- Timeframe: "Last 48 hours"
- Brand name: "SafeHome Appliances"
Follow-up prompts
- Which specific posts or threads are driving the most negative sentiment, and what common themes appear?
- How does our sentiment compare to competitors during the same period?
- What proactive content could we publish to shift the conversation toward positive customer stories?