Monitor AI News → Analyze Sentiment → Alert Stakeholders
Track AI industry news and public sentiment to help organizations stay ahead of potential PR issues and regulatory changes.
Workflow Steps
Google Alerts
Set up keyword monitoring
Create alerts for keywords like 'AI controversy', 'AI resistance', 'AI regulation', 'data center electricity', and your company name + AI. Set frequency to 'as it happens' and deliver to a dedicated Gmail folder.
Zapier
Trigger on new emails
Set up a Gmail trigger that activates when new emails arrive in your Google Alerts folder. Configure it to extract the email body content and article URLs.
OpenAI GPT-4
Analyze sentiment and relevance
Process each article through GPT-4 with a prompt like: 'Analyze this AI news article for sentiment (positive/negative/neutral), controversy level (1-10), and potential impact on tech companies. Provide a 2-sentence summary.' Return structured data.
Airtable
Log analysis results
Store each article's URL, sentiment score, controversy rating, summary, and timestamp in an Airtable base. Set up filtered views for high-controversy items and negative sentiment.
Slack
Alert team on high-risk news
When controversy level is 7+ or sentiment is strongly negative, automatically post to a #ai-monitoring Slack channel with the article summary, sentiment analysis, and recommended actions.
Workflow Flow
Step 1
Google Alerts
Set up keyword monitoring
Step 2
Zapier
Trigger on new emails
Step 3
OpenAI GPT-4
Analyze sentiment and relevance
Step 4
Airtable
Log analysis results
Step 5
Slack
Alert team on high-risk news
Why This Works
Combines real-time monitoring with AI analysis to filter noise and highlight genuine threats, preventing reactive scrambling when issues go viral.
Best For
PR teams and executives who need early warning of AI-related controversies
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