comment-to-content-recycler

To turn audience comments into prioritized content ideas, ingest comments, DMs, and FAQ threads to cluster topics by intent. The system normalizes inputs to remove duplicates and scores clusters using frequency, urgency, and monetization relevance to generate a ranked content backlog.

The best way to generate script-ready topics from FAQ threads is to cluster questions by intent, such as troubleshooting or comparison. The output provides three hook options, a short script angle, and a CTA aligned with audience language for each prioritized topic.

Comment clustering by intent works by grouping audience questions into categories like how-to, buying concerns, and myths. This process preserves representative audience language and applies a scoring framework to prioritize the most relevant short-form content topics.

Yes, you can use audience DMs to build a content backlog. The system ingests and normalizes direct messages alongside comments and FAQ items, converting them into ranked, script-ready topics with clear prioritization and actionable engagement steps.

To prioritize which audience questions to address first, the system applies a scoring framework based on frequency, urgency, monetization relevance, and ease of production. It outputs a ranked content backlog and provides implementation guidance on which comments to reply to first.