creator-search-intent-radar

A weekly content backlog normalizes noisy trend inputs by deduplicating and standardizing metadata like platform_fit, intent_type, and freshness before ranking them into a top-10 topic list with hooks and a 7-day schedule.

Ranking TikTok and YouTube content ideas requires scoring standardized signals across audience_fit, monetization_fit, and difficulty to produce a prioritized top-10 list with per-topic angles and CTAs for your weekly schedule.

You need 10 to 30 candidate signals from social trend surfaces, comments, or FAQs to generate a ranked top-10 topic list with corresponding hooks, angles, and CTAs for content planning.

Yes, weekly content backlog generation works for TikTok, YouTube, and Instagram by evaluating platform-specific topics, standardizing platform_fit, and generating tailored angles and CTAs for each platform.

For social media topic ideation, you must record structured inputs including source_type, source_link, captured_at, and confidence to properly track provenance and score the trend signals.

Assigning hooks and CTAs to ranked topics happens automatically during backlog generation, where standardized signals like intent_type and freshness are scored to output per-topic angles and specific calls to action.