Media Sentiment Analyzer
Conduct rapid sentiment analysis of public relations coverage
Overview
The Media Sentiment Analyzer conducts rapid sentiment analysis of public relations coverage, press mentions, and media articles to assess brand perception and identify reputation risks or opportunities. PR and communications teams need to quickly understand how their brand is portrayed in media coverage, but manually reviewing and categorizing articles across publications is time-consuming and subjective. This agent analyzes media coverage to determine sentiment (positive, negative, neutral), identify key themes and narratives, assess share of voice versus competitors, and flag reputation risks requiring response. It accelerates media monitoring, provides objective sentiment assessment, and helps PR teams respond proactively to coverage trends.
Capabilities
- Analyze sentiment of media coverage and press mentions at scale
- Identify key themes, narratives, and messaging in media coverage
- Compare sentiment and share of voice versus competitors
- Flag negative coverage or reputation risks requiring immediate response
- Track sentiment trends over time and across different publications or topics
Agent Workflow
- Input: User provides media coverage articles, press mentions, or monitoring feed
- Sentiment Analysis: Agent evaluates tone and sentiment of each article or mention
- Theme Extraction: Identifies key topics, narratives, and messaging in coverage
- Comparative Analysis: Assesses sentiment and volume versus competitors if specified
- Risk Identification: Flags negative coverage or emerging reputation concerns
- Output: Delivers sentiment report with findings, trends, and recommended actions
Example prompt
"Analyze the 75 media articles and press mentions we received in Q1 2026 following our Series B funding announcement and new product launch (uploading article collection). Provide: overall sentiment breakdown (% positive, neutral, negative) with comparison to our Q4 2025 baseline; identification of the top 5 themes or narratives appearing in coverage (e.g., 'innovation leader,' 'competitive threat,' 'funding momentum'); specific examples of the most positive and most negative coverage with quotes and publication names; analysis of how our key messages (AI innovation, customer success, market leadership) were reflected in coverage; comparison of our sentiment and share of voice versus our top 3 competitors mentioned in articles; any reputation risks or negative narratives that require PR response or correction; and recommendations for amplifying positive coverage and addressing negative themes. Include data visualizations showing sentiment distribution and theme frequency."
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