Alert System Overview - How alerts work
Written By Ashish Mishra
Last updated 7 months ago
Alert System Overview
ThirdEye AI's intelligent alert system keeps you informed of important changes in your brand's AI presence, ensuring you never miss critical developments in how AI platforms discuss your brand.
How Alerts Work
Real-Time Monitoring
The alert system continuously monitors your brand mentions across all configured AI platforms and triggers notifications when specific conditions are met.
Alert Types
Volume Alerts: Changes in mention frequency
Sentiment Alerts: Shifts in brand sentiment
Competitor Alerts: Competitive activity changes
Custom Rule Alerts: User-defined conditions
System Alerts: Platform updates and issues
Notification Channels
Email: Detailed alert emails with context
Slack: Real-time team notifications
Webhook: Integration with external systems
Dashboard: In-app notification center
Mobile Push: Instant mobile alerts (premium)
Alert Categories
1. Mention Volume Alerts
What they monitor: Changes in how often your brand is mentioned
High Volume Alerts
Triggered when mentions exceed normal patterns:
Alert: "Mention Spike Detected"
Condition: Daily mentions > 150% of 7-day average
Possible causes:
- Viral content or news coverage
- Product launch publicity
- Crisis or controversy
- Competitor mention (redirected attention)
Low Volume Alerts
Triggered when mentions drop significantly:
Alert: "Mention Drop Detected"
Condition: Daily mentions < 50% of 7-day average
Possible causes:
- Algorithm changes on AI platforms
- Seasonal market shifts
- Competitor gaining share of voice
- Technical monitoring issues
Zero Mention Alerts
When your brand stops being mentioned entirely:
Alert: "No Mentions Detected"
Condition: Zero mentions for 24+ hours
Immediate actions needed:
- Check monitoring configuration
- Verify AI platform accessibility
- Review recent market changes
- Consider prompt strategy adjustment
2. Sentiment Alerts
What they monitor: Changes in how positively or negatively your brand is discussed
Sentiment Drop Alerts
Alert: "Negative Sentiment Spike"
Trigger: Sentiment score drops below threshold
Thresholds:
- Warning: <70% positive
- Critical: <50% positive
- Emergency: <30% positive
Immediate actions:
- Review recent negative mentions
- Identify common complaint themes
- Prepare response strategy
- Monitor for crisis escalation
Sentiment Improvement Alerts
Alert: "Positive Sentiment Improvement"
Trigger: Significant positive sentiment increase
Use cases:
- Validate successful campaigns
- Identify viral positive content
- Capitalize on momentum
- Document best practices
3. Competitive Alerts
What they monitor: Changes in competitor mention patterns
Competitor Surge Alerts
Alert: "Competitor Activity Spike"
Trigger: Competitor mentions increase significantly
Analysis provided:
- Which competitor is gaining traction
- What topics/use cases drive their mentions
- Sentiment of competitive mentions
- Recommended response actions
Share of Voice Changes
Alert: "Share of Voice Decline"
Trigger: Your brand's share drops below threshold
Includes:
- Percentage point change
- Competitor gaining share
- Time period of decline
- Trend analysis and forecasting
4. Custom Rule Alerts
What they monitor: User-defined conditions and scenarios
Business Rule Examples
Product Launch Alert:
Condition: New product name mentioned + positive sentiment
Action: Notify product team
Crisis Management Alert:
Condition: Brand + "lawsuit" OR "controversy" keywords
Action: Immediate executive team notification
Opportunity Alert:
Condition: "looking for alternative to [competitor]"
Action: Sales team notification
Setting Up Alerts
Quick Alert Setup
Essential Alerts for New Users
1. Daily Mention Summary
- Frequency: Daily at 9 AM
- Content: Yesterday's mention count and sentiment
- Channel: Email
2. Sentiment Warning
- Trigger: Sentiment drops below 65%
- Frequency: Immediate
- Channel: Email + Slack
3. Mention Spike
- Trigger: Daily mentions > 200% of average
- Frequency: Immediate
- Channel: Email + Dashboard
4. Zero Mentions
- Trigger: No mentions for 24 hours
- Frequency: Once per occurrence
- Channel: Email notification
Advanced Alert Configuration
Multi-Condition Alerts
Complex Alert Example:
Name: "Competitive Threat Alert"
Conditions:
- Competitor mentions increase >50%
- AND your brand mentions decrease >20%
- AND time period = same week
- AND sentiment of competitor mentions >70%
Action: Executive team notification with analysis
Threshold Management
Dynamic Thresholds:
- Automatic adjustment based on historical patterns
- Seasonal baseline adjustments
- Industry benchmark comparisons
- Machine learning-optimized triggers
Static Thresholds:
- Fixed percentage or absolute numbers
- Business-critical metric levels
- Compliance or contractual requirements
- Crisis management triggers
Notification Channels
Email Alerts
Email Alert Types
Instant Alerts:
- Critical issues requiring immediate attention
- High-priority sentiment changes
- Significant competitive threats
- System emergencies
Daily Digests:
- Yesterday's performance summary
- Trend analysis and insights
- Mention highlights and lowlights
- Recommended actions
Weekly Reports:
- Comprehensive performance analysis
- Competitive intelligence summary
- Strategic insights and recommendations
- Historical trend analysis
Email Customization
Recipient Lists: Different alerts to different team members
Content Depth: Summary vs. detailed analysis
Frequency Caps: Prevent alert fatigue
Personalization: Role-based alert content
Slack Integration
Slack Alert Features
Real-Time Notifications:
- Instant mention alerts
- Sentiment change notifications
- Competitive activity updates
- System status alerts
Channel Configuration:
- #brand-monitoring: All brand-related alerts
- #crisis-management: Critical issues only
- #competitive-intel: Competitor activity
- #executives: High-level summaries
Slack Alert Format
π¨ ALERT: Sentiment Drop Detected
Brand: Acme Software
Sentiment: 72% β 58% (β14%)
Time: Last 4 hours
Platform: ChatGPT
Mentions: 23 mentions analyzed
π Details: [View Dashboard] [View Mentions]
β‘ Quick Actions: [Create Response] [Notify Team]
Webhook Integration
Webhook Alert Data
{
"alert_id": "alert_123456",
"timestamp": "2024-01-15T14:30:00Z",
"alert_type": "sentiment_drop",
"brand_id": "brand_789",
"brand_name": "Acme Software",
"trigger_condition": {
"metric": "sentiment_score",
"threshold": 70,
"current_value": 58,
"change": -14
},
"context": {
"time_period": "4_hours",
"mention_count": 23,
"platforms": ["chatgpt", "claude"],
"severity": "medium"
},
"recommended_actions": [
"review_negative_mentions",
"prepare_response_strategy",
"monitor_trend_continuation"
]
}
Integration Examples
CRM Integration:
- Create leads from opportunity alerts
- Update account records with brand sentiment
- Trigger sales team notifications
Marketing Automation:
- Launch response campaigns for negative sentiment
- Amplify positive mention campaigns
- Adjust ad spending based on share of voice
Customer Support:
- Create tickets for product-related complaints
- Route feedback to product teams
- Escalate crisis situations
Alert Management
Alert Dashboard
Alert Activity Feed
Chronological List: All alerts in time order
Filter Options: By type, severity, brand, time period
Status Tracking: Acknowledged, in progress, resolved
Action History: What actions were taken for each alert
Alert Analytics
Alert Performance Metrics:
- Alert accuracy rate (true vs false positives)
- Response time to critical alerts
- Resolution time by alert type
- Alert volume trends over time
Optimization Insights:
- Most actionable alert types
- Alert fatigue indicators
- Threshold optimization recommendations
- Channel effectiveness analysis
Alert Tuning
Reducing False Positives
Common Causes of False Alerts:
- Thresholds set too sensitively
- Seasonal patterns not accounted for
- Competitor activity mistaken for your brand issues
- Natural mention volume fluctuations
Solutions:
- Use dynamic thresholds based on historical data
- Account for day-of-week and seasonal patterns
- Implement confirmation periods before triggering
- Regular manual review of alert accuracy
Preventing Alert Fatigue
Best Practices:
- Start with fewer, high-confidence alerts
- Use escalation rules (warning β critical β emergency)
- Implement quiet hours for non-critical alerts
- Provide easy "snooze" and "not relevant" options
- Regular alert performance reviews
Alert Response Workflows
Escalation Procedures
Level 1: Standard Alert
- Automatic email to brand manager
- Dashboard notification
- 4-hour response time expectation
Level 2: Priority Alert
- Email + Slack notification
- Include contextual analysis
- 1-hour response time expectation
Level 3: Critical Alert
- Multi-channel notification (email, Slack, SMS)
- Executive team notification
- Immediate response required
- Auto-escalation if no acknowledgment in 30 minutes
Response Documentation
Alert Response Template:
1. Alert acknowledgment and initial assessment
2. Root cause analysis and impact evaluation
3. Response actions taken
4. Monitoring plan for resolution
5. Prevention measures for future occurrences
6. Stakeholder communication plan
Advanced Alert Features
AI-Powered Alert Intelligence
Smart Alert Filtering
Context Analysis: Understand why mentions increased/decreased
Trend Prediction: Forecast if current trend will continue
Impact Assessment: Evaluate business significance of alerts
Recommendation Engine: Suggest specific actions based on alert type
Pattern Recognition
Advanced Pattern Detection:
- Cyclical mention patterns
- Correlation with external events
- Predictive alert modeling
- Anomaly detection improvements
Automation Features
Auto-Response Capabilities
Automated Actions:
- Create support tickets for product issues
- Generate draft responses for negative sentiment
- Schedule follow-up monitoring for trends
- Trigger marketing campaigns for opportunities
Smart Routing:
- Route alerts to appropriate team members
- Escalate based on business hours and severity
- Integrate with existing workflow tools
- Provide context-specific action recommendations
Alert Best Practices
Setup Strategy
Phase 1: Essential Alerts (Week 1)
Critical Alerts Only:
- Sentiment drops below 60%
- Zero mentions for 24+ hours
- Mention volume changes >100%
- Major competitor activity spikes
Goal: Catch serious issues without overwhelming team
Phase 2: Expanded Monitoring (Month 1)
Add Strategic Alerts:
- Share of voice changes >10%
- New competitor emergence
- Positive sentiment opportunities
- Platform-specific performance issues
Goal: Comprehensive coverage with manageable volume
Phase 3: Advanced Intelligence (Month 2+)
Add Sophisticated Alerts:
- Predictive trend alerts
- Custom business rule alerts
- Cross-brand correlation alerts
- Market opportunity identification
Goal: Proactive strategic intelligence
Team Coordination
Role-Based Alert Distribution
Brand Manager:
- All brand performance alerts
- Competitive intelligence
- Daily/weekly summaries
Marketing Team:
- Sentiment changes
- Share of voice shifts
- Campaign performance impacts
- Opportunity alerts
Executive Team:
- Critical issues only
- Weekly strategic summaries
- Crisis escalations
- Significant competitive threats
Customer Success:
- Product-related negative sentiment
- Customer satisfaction indicators
- Support-related mention themes
Next Steps:
Alert response time: Real-time to 15 minutes | False positive rate: <5% | Coverage: 24/7