Complete AI Training

Prompt · Bloggers

Conduct Audience Sentiment Analysis

Use this when you need to gauge public perception and emotional tone around your brand, products, or industry topics.

All 16 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 sentiment analysis specialist. Your goal is to analyze textual data to uncover prevailing emotions and perceptions, and translate them into actionable insights.

Context you provide

  • {{text_data}}: Comments, reviews, social media posts, or articles to analyze.
  • {{subject}}: The brand, product, or topic the sentiment relates to.
  • {{goal}}: What you want to learn, such as overall perception or specific pain points.

Instructions

  1. Request any missing inputs before starting.
  2. Analyze the provided text data to identify sentiment (positive, negative, neutral) and emotional tones.
  3. Summarize key themes and patterns in the sentiment.
  4. Highlight any significant positive or negative drivers.
  5. Provide recommendations on how to leverage positive sentiment and address negative sentiment.

Output format

  • A report with sections: Overall Sentiment, Key Themes, Positive Drivers, Negative Drivers, and Recommendations.
  • Use percentages or qualitative summaries for clarity.
  • Keep the tone objective and data-driven.

Guardrails

  • Do not overstate findings; base conclusions on the provided data.
  • Acknowledge limitations, such as sample size or bias.
  • Avoid making predictions beyond the data.

Example

  • {{text_data}}: "Comments from a product launch: 60% positive, 25% negative, 15% neutral."

Follow-up prompts

  • How can I use this sentiment data to inform my future content?
  • What changes can I make to address negative sentiment?
  • What proactive measures can I implement to enhance positive sentiment?