topic-momentum

Content gap scanning cross-references rising narrative signals with recent article history to surface underserved angles for blogs and newsletters. It builds a signal map from memory topics and logs to score and rank the top uncovered areas.

Narrative tracking for content planning monitors rising signals across domains and logs them to identify trending topics before they peak. Operators cross-reference these signals against recent articles to find missing angles.

Generate content angles from research signals by loading signal logs, recent articles, and memory topics to build a signal map. The system scores coverage gaps and outputs a ranked top-3 list of angles with hooks for content creation.

Topic momentum applies to newsletter and research brief planning by monitoring multiple domains to generate angles. It reads per-run signals and memory logs to produce ranked content hooks and automatically updates memory when new angles are ready.

The best way to track underserved content angles across multiple domains is cross-referencing rising narrative signals with recent article history. This scores coverage gaps and surfaces a ranked top-3 list of content angles with hooks for operators.

Content planning misses rising narrative trends when recent article history is not cross-referenced against incoming signal logs. Scoring gaps between rising narratives and published articles reveals underserved angles before they trend.