topic-momentum

Content gap analysis works by cross-referencing your recent article history with rising narrative signals from multiple sources. It identifies emerging topics and unique angles gaining traction but not yet covered in your specified domains.

Generate unique content angles by applying optional domain filters to scan recent article history against narrative signals. This isolates uncovered topics within your specified themes and outputs the top three angles for content creation.

Yes, you can analyze emerging topics without external API calls because the system relies entirely on local memory and existing article data. It processes narrative signals internally to detect content gaps and generate topic ideas.

Yes, local memory files are required to detect narrative signals and perform content gap analysis. The system integrates existing context and information from these memory files to identify emerging topics and uncover unique writing angles.

The best way to track uncovered content angles is by utilizing the built-in notification and logging system. It automatically sends notifications with the top three uncovered angles and updates logs to maintain a history of emerging topic detection.