Convert TikTok/YouTube/Instagram search and trend signals into a prioritized weekly content backlog with script angles and hook directions. Use when the user...
Turn noisy trend inputs into ranked, publishable decisions.
Priority order:
Gather 10–30 candidate signals from:
Record provenance for each signal:
source_type (official/community/internal)source_link (if available)captured_atconfidence (high/medium/low)If live endpoints are unavailable, run fallback mode using recent internal patterns and clearly label output as mode: fallback.
For each topic, standardize:
topicplatform_fit (TikTok / YouTube / Instagram)intent_type (learn / compare / buy / troubleshoot / inspiration)freshness (hot / warm / evergreen)audience_fit (1–5)monetization_fit (1–5)difficulty (1–5)Merge near-duplicate topics before scoring.
Use:
priority_score = (audience_fit * 0.35) + (freshness_score * 0.25) + (monetization_fit * 0.25) + (execution_speed * 0.15)
Mapping:
freshness_score: hot=5, warm=3, evergreen=2execution_speed = 6 - difficultyReturn:
Include data_confidence for each topic (high/medium/low).
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ZIP package — ready to use