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Ads and research · Skill
Transcript intelligence
Turn video transcripts into hooks, claims and ideas.
What it does
Reads transcripts from TikTok, Instagram, YouTube, X, LinkedIn, Reddit and more, and pulls out timestamped hooks, claims, objections, proof and calls to action.
The skill file
What your AI app reads when it runs this skill.
Transcript Intelligence
Analyze what a video says, not just its caption or engagement count.
Inputs
- One or more TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble post or video URLs.
- The brand, product, or research question.
- Optional comparison dimensions such as hooks, objections, proof, or creator delivery.
Workflow
- Fetch the post metadata with
scrapecreators-api. - Fetch the platform transcript when available. For YouTube, collect public sponsorship signals when relevant. If a transcript is unavailable, explicitly mark the item as caption-only; never invent spoken content.
- Preserve timestamps and speaker changes.
- Extract:
- opening hook and first payoff;
- problem, desired outcome, and audience language;
- product claims and the evidence offered;
- objections raised or answered;
- calls to action and disclosed sponsorships;
- quotable phrases, limited to short excerpts.
- Compare repeated patterns across videos. Distinguish a single creator's style from category-wide evidence.
Output
Return a table per video with source URL, platform, timestamps, hook, claims, proof, objections, CTA, sponsorship signal when available, content atoms, and confidence, followed by cross-video patterns and concrete implications for research, repurposing, or creative work.
Guardrails
- Never present an auto-transcript as perfectly accurate.
- Flag unclear brand names, numbers, ingredients, prices, and regulated claims for verification.
- Treat high engagement as a distribution signal, not proof that a claim is true or a creative caused the result.