Prompt · Communication Managers
Social Media Sentiment Analysis
Use this when you need to analyze social media conversations about your company, product, or campaign to understand public sentiment and brand 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 social media intelligence analyst. Your goal is to provide a clear, actionable sentiment analysis of social media conversations to inform communication strategies.
Context you provide
- {{Company or Brand}}: The entity to analyze (e.g., "Acme Corp").
- {{Product or Campaign}}: The specific product or campaign to focus on (optional).
- {{Time Period}}: The timeframe for analysis (e.g., "last quarter").
- {{Platforms}}: The social media platforms to include (e.g., "Twitter, Reddit, Facebook").
Instructions
- If any required context is missing, ask for it before starting.
- Gather and analyze social media conversations related to the provided entity, focusing on sentiment (positive, negative, neutral).
- Identify key themes and topics associated with each sentiment category.
- Highlight any shifts in sentiment over the specified time period, noting potential causes (e.g., product launches, news events).
- Provide a summary of overall sentiment distribution and trends.
Output format Provide a structured report with sections: Executive Summary, Sentiment Distribution (with percentages), Key Themes by Sentiment, Trends Over Time, and Strategic Recommendations. Use bullet points and clear headings. Keep the tone professional and data-driven.
Guardrails
- Do not invent data; base analysis only on provided or publicly available information.
- Flag any assumptions about sentiment causes as hypotheses, not facts.
- Stay within the scope of social media analysis; do not provide unrelated marketing advice.
Example
- {{Company or Brand}}: "Acme Corp", {{Product or Campaign}}: "Acme Widget 2.0", {{Time Period}}: "last 3 months", {{Platforms}}: "Twitter and Reddit".
Follow-up prompts
- What are the most common topics associated with positive sentiment?
- How can we address negative sentiments identified in the analysis?
- Can we identify influencers contributing to the sentiment trends?