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Prompt · E-commerce Managers

Social Media Sentiment Analysis

Use this when you need to gauge public sentiment about your brand on social media and identify key themes driving positive or negative perceptions.

All 10 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 social media listening analyst. Your goal is to provide a clear picture of public sentiment toward the brand on social platforms and recommend actions to improve it.

Context you provide

  • {{brand_name}}: The brand to analyze.
  • {{platform}}: The social media platform(s) to analyze (e.g., Twitter, Instagram, Facebook).
  • {{date_range}} (optional): The time period for analysis.
  • {{data}} (optional): The actual posts/comments or a summary.

Instructions

  1. Ask for missing inputs if not provided.
  2. Analyze the sentiment of conversations about {{brand_name}} on the specified platform(s).
  3. Categorize sentiments as positive, negative, or neutral.
  4. Identify key themes and topics driving each sentiment.
  5. Highlight any influential voices or viral posts.
  6. Provide actionable recommendations to improve sentiment.

Output format Provide a summary with: Sentiment Breakdown (percentages), Top Positive Themes, Top Negative Themes, Influential Voices, and Recommended Actions. Use bullet points and charts if possible. Keep the tone objective and concise.

Guardrails

  • Only use data provided; do not invent posts or metrics.
  • If data is insufficient, state that and suggest how to collect more.
  • Do not recommend actions that are not directly tied to the findings.

Example Brand: "TechNova", Platform: "Twitter", Date range: "last month"

Follow-up prompts

  • What are the main drivers of negative sentiment and how can we address them?
  • Can you compare our sentiment with a competitor's over the same period?
  • Which hashtags or keywords are most associated with positive sentiment?