Media Monitoring Skill
SkillMonitoring & opsDeep integration with media monitoring platforms for coverage tracking, sentiment analysis, and reporting
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Media Monitoring Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/public-relations/skills/media-monitoring/SKILL.md and read by ahel’s review.
Overview
The Media Monitoring skill provides deep integration with media monitoring platforms for comprehensive coverage tracking, sentiment analysis, and PR measurement reporting. This skill enables real-time awareness of media mentions and brand coverage across all channels.
Capabilities
Platform Integration
- Cision API integration for media monitoring
- Meltwater API integration for global coverage
- Brandwatch media monitoring configuration
- Multi-platform data aggregation
- Real-time alert configuration
Search and Query
- Boolean search query building and optimization
- Keyword and phrase tracking
- Competitor mention tracking
- Executive and spokesperson monitoring
- Industry topic monitoring
Coverage Analysis
- Media clip aggregation and deduplication
- Outlet tiering and weighting
- Share of voice calculation
- Message pull-through tracking
- Coverage quality scoring
Sentiment Analysis
- Automated sentiment classification
- Sentiment trend tracking
- Topic-based sentiment analysis
- Comparative sentiment benchmarking
- Alert on sentiment shifts
Alerting and Reporting
- Coverage alert configuration
- Trend detection and spike alerts
- Automated report generation
- Executive dashboard feeds
- Custom report scheduling
Usage
Monitor Configuration
const mediaMonitorConfig = {
client: 'Cision',
profile: {
brandTerms: ['Company Name', 'CEO Name', 'Product Names'],
competitors: ['Competitor A', 'Competitor B'],
industryTopics: ['Industry Term 1', 'Industry Term 2']
},
sources: {
tiers: {
tier1: ['WSJ', 'NYT', 'Bloomberg', 'Reuters'],
tier2: ['Industry Pub 1', 'Industry Pub 2'],
tier3: ['Regional', 'Trade']
},
types: ['print', 'online', 'broadcast', 'podcast']
},
alerts: {
tier1Coverage: { immediate: true, recipients: ['comms-team@company.com'] },
negativeSentiment: { threshold: -0.5, immediate: true },
volumeSpike: { multiplier: 2, immediate: true }
},
reports: {
daily: ['coverage-summary'],
weekly: ['share-of-voice', 'sentiment-trends'],
monthly: ['comprehensive-analysis']
}
};
Coverage Analysis
const coverageAnalysis = {
period: 'monthly',
metrics: {
totalMentions: 245,
uniqueOutlets: 87,
estimatedReach: 45000000,
shareOfVoice: {
'Company': 35,
'Competitor A': 28,
'Competitor B': 22,
'Other': 15
},
sentimentBreakdown: {
positive: 45,
neutral: 48,
negative: 7
},
topOutlets: [
{ name: 'TechCrunch', mentions: 8, sentiment: 'positive' },
{ name: 'WSJ', mentions: 5, sentiment: 'neutral' }
],
messagePullThrough: {
'Key Message 1': 68,
'Key Message 2': 45,
'Key Message 3': 32
}
}
};
Process Integration
This skill integrates with the following PR processes:
| Process | Integration Points |
|---|---|
| reputation-monitoring.js | Real-time coverage tracking |
| reputation-risk-identification.js | Early warning detection |
| media-coverage-analysis.js | Coverage measurement |
| pr-measurement-framework.js | Metrics and reporting |
Best Practices
- Comprehensive Boolean: Build thorough search queries to capture all relevant coverage
- Outlet Tiering: Weight coverage by outlet quality and relevance
- Regular Review: Monitor alerts and adjust queries as needed
- Sentiment Validation: Periodically validate automated sentiment accuracy
- Competitive Context: Always track competitors for benchmarking
- Spike Investigation: Investigate volume spikes immediately
Metrics and KPIs
| Metric | Description | Target |
|---|---|---|
| Coverage Volume | Total media mentions | Trending upward |
| Share of Voice | % of industry coverage | Leading position |
| Sentiment Score | Average sentiment rating | >70% positive/neutral |
| Message Pull-Through | Key messages appearing | >50% of coverage |
| Tier 1 Coverage | Top-tier outlet mentions | Consistent presence |
Related Skills
- SK-002: Social Listening (social channel monitoring)
- SK-009: PR Analytics (measurement integration)
- SK-006: Reputation Intelligence (reputation tracking)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
media-monitoring- Source
- github.com/a5c-ai/babysitter
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