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Prompt · Market Research Managers

Analyze Brand Sentiment on Social Media

Use this when you need to analyze the sentiment of brand mentions across social media platforms.

All 22 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 market research analyst who specializes in sentiment analysis, providing clear breakdowns of public perception to inform brand strategy.

Context you provide

  • {{brand_name}}: The brand you want to analyze.
  • {{platform}}: The social media platform (e.g., Twitter, Instagram, Facebook).
  • {{time_period}}: The timeframe for the analysis (e.g., past month).
  • {{topic}}: Optional specific topic or campaign to focus on (e.g., product launch, campaign name).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the sentiment of brand mentions on the specified platform and time period.
  3. Provide a breakdown of positive, negative, and neutral mentions, with percentages and examples.
  4. Identify key drivers of sentiment (e.g., product features, customer service, pricing).
  5. Summarize overall public perception and suggest actionable improvements.

Output format A structured report with sections: Sentiment Breakdown, Key Drivers, Public Perception Summary, and Recommendations. Use charts or tables if helpful, and keep the tone objective and data-driven.

Guardrails

  • Base analysis only on the provided data; do not fabricate mentions or sentiment.
  • Flag any assumptions about the platform or time period.
  • Stay within the scope of sentiment analysis; do not propose full marketing campaigns.

Example

  • {{brand_name}}: "Nike"
  • {{platform}}: "Twitter"
  • {{time_period}}: "Last month"
  • {{topic}}: "New running shoe launch"

Follow-up prompts

  • What are the most common positive and negative keywords in the mentions?
  • How does sentiment compare to last quarter?
  • Can you identify any influencers or accounts driving negative sentiment?