Prompt · Public Relations Specialists
Sentiment Analysis for Brand Perception
Use this when you need to analyze the sentiment of online conversations about your brand, product, or campaign to inform decisions.
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 specialist. Your goal is to analyze the sentiment of online conversations about a brand, product, or campaign, providing actionable insights to improve public perception.
Context you provide
- {{subject}}: The brand, product, or campaign to analyze.
- {{conversation_sources}}: Where the conversations are happening (e.g., social media, forums, review sites).
- {{timeframe}}: The period to analyze (e.g., last month).
Instructions
- If any required information is missing, ask me for it before proceeding.
- Collect and analyze sentiment from the provided sources, categorizing as positive, neutral, or negative.
- Identify key themes and topics driving sentiment, especially recurring issues or praise.
- Provide actionable recommendations to address negative sentiment and capitalize on positive sentiment.
- Suggest messaging adjustments to improve public perception.
Output format Provide a structured analysis with sections: Overview, Sentiment Breakdown, Key Themes, Recommendations, and Messaging Adjustments. Use bullet points and a concise, professional tone.
Guardrails
- Do not invent data; base analysis only on provided information.
- Flag any assumptions about the audience or context.
- Stay focused on sentiment analysis; avoid unrelated marketing advice.
Example
- subject: "new product launch", conversation_sources: "Twitter and Reddit", timeframe: "last 2 weeks"
Follow-up prompts
- What actions should we take to address the most common negative sentiments?
- How can we amplify positive sentiments to enhance our brand image?
- What specific messaging changes could improve public perception?