Executive Summary
- By the time a PR crisis hits major news outlets, the damage is done. The key is detecting the localized viral surge on Tier-2 platforms.
- Agents scrape specific subreddits and hacker forums hourly, using LLMs to detect sentiment anomalies that standard keyword trackers miss.
- Critical threat alerts are pushed simultaneously to Slack and PagerDuty for the PR team.
Time-to-Detection
14 MinsFrom First Viral Node
To detect a concerted negative sentiment campaign forming on an obscure internet forum.
1. The Sourcing and Filtering
Consumer APIs scrape millions of posts. To filter noise, a cheap preliminary model (like Llama-3-8B) runs purely to answer 'Does this post mention our brand negatively? Yes/No'.
Efficacy of Crisis Detection Methods
Google Alerts15
Traditional Media Trackers45
Real-Time AI Sentiment Orchestration92
Sarcasm Detection
Legacy keyword trackers flag 'This product is sick!' as a negative health issue. LLMs understand the colloquial context inherently, vastly reducing false-positive alerts.
2. Trend Aggregation
If 50 people suddenly tweet about a 'login error', the system doesn't ping the PR team 50 times. It aggregates the data, identifies the core theme ('Authentication Failure on iOS 18'), and sends a single, actionable compiled report.
Protecting Market Cap
For publicly traded companies, a 24-hour head start on managing a product recall narrative can save hundreds of millions in market capitalization.