Alert System

Start with conservative thresholds: 20%+ visibility drops, new competitors appearing in 3+ queries, or sentiment shifts of 15+ points. The platform's alert system lets you refine these based on your baseline volatility: if your metrics naturally fluctuate 10% daily, set thresholds at 25% to filter noise. Monitor alert frequency for 2 weeks, then adjust: too many false positives means thresholds are too sensitive, while missed critical changes means they're too loose. Focus alerts on your top 20% of strategic queries rather than monitoring everything equally.

Respond within 4 hours for visibility drops or negative sentiment spikes: AI platforms update frequently, so delays compound the impact. First, use the dashboard to verify the alert across multiple queries and providers to distinguish isolated incidents from systemic issues. If confirmed systemic, investigate root causes: new competitor content, algorithm changes, or citation source updates. Then activate your response playbook: publish fresh authoritative content, update existing pages with new data, or engage with citation sources. Teams that respond same-day consistently recover faster than those waiting 48+ hours.

Yes: modern platforms support role-based alert configurations for maximum efficiency. Marketing leaders need weekly digest alerts for strategic trends (share of voice, competitive positioning). Product teams should receive immediate alerts for negative sentiment or feature-specific visibility drops. PR teams need instant notifications for crisis indicators (sentiment crashes, negative citations). Sales teams benefit from competitor appearance alerts on high-intent queries. This targeted approach ensures each team member receives actionable alerts relevant to their responsibilities, driving faster coordinated responses while avoiding overwhelming any single person with irrelevant notifications.