Social Listening Analysis for Brand Health & Competitive Intelligence
Social MediaadvancedClaude 3.5 Sonnet or GPT-4o. Claude excels at nuanced sentiment analysis and identifying subtle narrative patterns in large text datasets. GPT-4o provides faster processing for high-volume data and stronger competitive benchmarking. For real-time analysis, use Claude; for speed with large datasets, use GPT-4o.
When to Use This Prompt
Use this prompt when you need to synthesize large volumes of social media data into strategic insights for board presentations, quarterly business reviews, or competitive strategy sessions. It's particularly valuable when you have raw social listening data from tools like Brandwatch, Sprout Social, or Hootsuite and need to translate mentions into actionable marketing strategy.
The Prompt
You are a social listening analyst specializing in brand health monitoring and competitive intelligence. Analyze the following social media conversation data and provide actionable insights for marketing strategy.
## Input Data
Brand: [YOUR_BRAND_NAME]
Analysis Period: [DATE_RANGE]
Platforms: [PLATFORMS - Twitter, Instagram, TikTok, Reddit, LinkedIn, etc.]
Conversation Volume: [NUMBER_OF_MENTIONS]
Sample Conversations: [PASTE_SAMPLE_POSTS_AND_COMMENTS]
## Analysis Framework
### 1. Sentiment Analysis
- Break down sentiment distribution (positive, neutral, negative) with percentages
- Identify sentiment trends over the analysis period
- Highlight the top 3 sentiment drivers (what's making people talk positively or negatively)
### 2. Key Themes & Topics
- Extract the 5-7 dominant conversation themes
- For each theme, note: volume, sentiment, and audience segment discussing it
- Identify emerging topics gaining momentum
### 3. Audience Insights
- Describe the primary audience segments engaging with your brand
- Note demographic indicators (age, profession, interests) where visible
- Identify influencers or high-engagement accounts driving conversation
### 4. Competitive Positioning
- Compare sentiment and conversation volume vs. [COMPETITOR_NAMES]
- Identify where your brand is winning vs. losing in perception
- Note competitive advantages mentioned by your audience
### 5. Crisis & Risk Assessment
- Flag any emerging negative narratives or potential PR risks
- Rate severity (low, medium, high) and recommended response timeline
- Suggest response messaging framework if needed
### 6. Opportunity Identification
- Highlight 3-4 content or campaign opportunities based on audience interests
- Note underserved audience segments or topics
- Suggest partnership or influencer collaboration angles
## Output Requirements
- Present findings in executive summary format (200-250 words)
- Include specific quotes or examples from conversations
- Provide 3-5 prioritized recommendations with implementation timeline
- Format as a brief that a CMO can present to leadership
- Use data-driven language with percentages and specific metrics
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Tips for Best Results
- 1.Paste actual conversation samples (10-20 representative posts) rather than summaries—AI performs better with raw data and can identify sentiment nuances humans miss.
- 2.Include competitor names and specific time periods so the AI can provide comparative context and trend analysis rather than generic observations.
- 3.Request specific metrics (percentages, growth rates, engagement numbers) in your output so findings are quantifiable for stakeholder presentations.
- 4.Ask the AI to flag quotes and examples from actual conversations—this makes recommendations credible and gives you ready-to-use content for leadership briefs.
Example Output
## Executive Summary
Over the past 30 days, [Brand] generated 12,400 mentions across Twitter, Instagram, and TikTok with a 64% positive sentiment—up 8 points from the previous period. Conversation is dominated by product quality discussions (34% of mentions) and customer service experiences (28%), with emerging interest in sustainability practices (12%, growing 15% week-over-week).
## Key Findings
**Sentiment Drivers:**
- Positive: New product launch reception ("Finally a solution that actually works" - 2.3K engagements), customer testimonials about durability
- Negative: Shipping delays and pricing concerns relative to competitors ("$40 more than [Competitor]")
**Audience Insights:**
Primary audience is professionals aged 28-42 in tech and finance sectors. Secondary audience: Gen Z sustainability-focused consumers (growing 22% month-over-month). Micro-influencers in eco-conscious space showing 8.5% engagement rates.
**Competitive Gap:**
While [Competitor A] leads on price perception (71% positive on cost), your brand owns quality and reliability (78% positive). [Competitor B] is gaining ground on sustainability messaging (19% vs. your 12%).
**Recommendations:**
1. Launch sustainability content series within 2 weeks to capture growing audience segment
2. Address shipping concerns with transparency campaign highlighting logistics improvements
3. Partner with 3-5 identified micro-influencers for authentic product testimonials
4. Create comparison content addressing price-value proposition for premium positioning
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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.