topic-researcher

To find trending video topics that haven't been saturated, this Skill conducts multi-angle online research to identify outlier ideas, deduplicates them against your existing content libraries, and ranks their viral potential based on engagement metrics and novelty.

Outlier scoring for content research is a ranking mechanism that evaluates identified video topics based on engagement levels, content freshness, and competition gaps to highlight unique ideas with high viral potential that stand out from existing niche trends.

You can generate script angles from trending video ideas by using the deep research feature, which automatically creates distinct scripted perspectives for each validated topic to help you craft compelling video scripts.

Yes, you can check new video ideas against your existing content library to avoid overlap. The tool performs deduplication by filtering out known topics during the content research and scoring process to ensure topic novelty.

Yes, topic research for video content requires integration with online sources and content libraries. This connectivity fetches recent content for multi-angle analysis, enabling accurate trend analysis and deduplication for your specified niche.