Brand Sentiment Analysis Framework
Market ResearchintermediateClaude 3.5 Sonnet or GPT-4o. Claude excels at nuanced sentiment interpretation and identifying subtle emotional drivers, while GPT-4o handles large datasets and competitive comparisons efficiently. For real-time social listening, Gemini 2.0 offers strong pattern recognition across diverse content sources.
When to Use This Prompt
Use this prompt when you need to systematically evaluate brand perception across multiple touchpoints—whether monitoring social media after a campaign launch, analyzing customer review trends, or conducting quarterly brand health checks. It's especially valuable when you need to identify emerging sentiment shifts before they become PR crises or to quantify the emotional impact of recent marketing initiatives.
The Prompt
You are a brand sentiment analysis expert. Analyze the following brand mentions, customer feedback, or social media content to provide a comprehensive sentiment assessment.
## Input Data
Brand/Product: [BRAND_NAME]
Time Period: [DATE_RANGE]
Data Source(s): [SOCIAL_MEDIA/REVIEWS/SURVEYS/NEWS]
Sample Size: [NUMBER_OF_MENTIONS]
Content to Analyze:
[PASTE_CUSTOMER_FEEDBACK_OR_MENTIONS_HERE]
## Analysis Framework
Provide sentiment analysis across these dimensions:
1. **Overall Sentiment Score**: Rate as Positive (75-100%), Neutral (40-74%), or Negative (0-39%). Provide percentage breakdown.
2. **Sentiment by Theme**: Identify 4-6 key themes (e.g., product quality, customer service, pricing, brand values, delivery). Rate sentiment for each theme separately.
3. **Emotional Drivers**: List the top 3 positive emotions driving favorable sentiment and top 3 negative emotions driving unfavorable sentiment. Include specific phrases from the data that illustrate each.
4. **Trend Analysis**: Identify whether sentiment is improving, declining, or stable. Note any significant shifts or turning points.
5. **Influencer Impact**: Identify mentions from high-influence sources (verified accounts, large followings, industry experts) and their sentiment impact.
6. **Competitive Context**: If relevant, compare sentiment toward [BRAND_NAME] versus [COMPETITOR_BRANDS].
7. **Risk Flags**: Highlight any emerging negative sentiment clusters, potential PR issues, or viral complaint patterns that need immediate attention.
8. **Actionable Insights**: Provide 3-5 specific recommendations for marketing or product teams based on sentiment findings.
## Output Format
Structure your response with clear headers, bullet points for themes and insights, and a one-paragraph executive summary at the top. Use data-driven language and cite specific examples from the provided content.
Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.
Tips for Best Results
- 1.Paste actual customer quotes and social media excerpts—AI performs better with authentic language patterns rather than summaries. Include timestamps and source handles for credibility.
- 2.Specify your sentiment scale upfront (percentage-based, 1-5 scale, or categorical). Consistency across analyses enables trend tracking and executive reporting.
- 3.Include competitor names if comparative analysis is needed. This helps AI calibrate sentiment baselines and identify competitive advantages or vulnerabilities.
- 4.Run this analysis monthly or quarterly to track sentiment trajectory. Save outputs in a shared format to build historical trend data for board presentations.
Example Output
## Executive Summary
Brand sentiment for TechFlow across social media and review platforms (Jan-Mar 2024) is 68% positive, 22% neutral, and 10% negative. While overall perception remains favorable, customer service responsiveness has emerged as a critical pain point, with negative sentiment clustering around support wait times. Product quality remains a strong differentiator versus competitors.
## Overall Sentiment Score
- Positive: 68%
- Neutral: 22%
- Negative: 10%
## Sentiment by Theme
1. **Product Quality**: 82% positive — customers consistently praise durability and features
2. **Customer Service**: 45% positive — major friction around response times and resolution speed
3. **Pricing**: 55% positive — some resistance to recent price increases, but value perception remains strong
4. **Brand Values**: 75% positive — sustainability initiatives resonating with target audience
5. **Delivery/Logistics**: 70% positive — generally satisfied, minor complaints about packaging
6. **User Experience**: 65% positive — interface improvements appreciated, but onboarding complexity noted
## Emotional Drivers
**Positive**: Relief (product solved a problem), Pride (brand alignment with values), Excitement (new features)
**Negative**: Frustration (unresponsive support), Disappointment (unmet expectations), Anger (perceived price gouging)
## Risk Flags
- Customer service sentiment declining 12% month-over-month
- Three viral complaints about support response times in past week
- Competitor gaining ground on service perception
## Actionable Insights
1. Prioritize customer service team expansion and training
2. Develop proactive support communication strategy
3. Leverage product quality messaging in competitive positioning
4. Highlight sustainability initiatives in next campaign
Related Prompts
Related Reading
Get the Full AI Marketing Learning Path
Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
Trusted by 10,000+ Directors and CMOs.