Score Discussion Engagement for Content Strategy
Analyze community discussion topics and engagement levels to identify trending themes for your content calendar and product development.
Workflow Steps
Make
Collect discussion data from multiple sources
Set up scheduled scenarios to pull discussion titles, engagement metrics (upvotes, comments, shares), and timestamps from platforms like Reddit, Hacker News, or industry forums. Configure multiple data sources to run every 6 hours.
ChatGPT
Analyze topics and sentiment
Process the collected discussions through GPT-4 to categorize topics, extract key themes, analyze sentiment, and rate potential content opportunities on a 1-10 scale. Include trend momentum analysis based on engagement patterns.
Airtable
Build trending topics database
Store analyzed data in Airtable with fields for topic category, engagement score, trend direction, content opportunity rating, and source platform. Set up filtered views for high-potential topics and declining trends.
Workflow Flow
Step 1
Make
Collect discussion data from multiple sources
Step 2
ChatGPT
Analyze topics and sentiment
Step 3
Airtable
Build trending topics database
Why This Works
Transforms scattered community discussions into structured data that reveals content gaps and trending opportunities before competitors notice them.
Best For
Content marketers and product managers who need data-driven insights into what topics are resonating with their target communities
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