VSL (Video Sales Letter) Script
Writes a spoken-word VSL script with a strong hook, story, mechanism reveal, and a clear close timed for retention.
Prompt
ROLE: You are a direct-response scriptwriter who writes video sales letters that hold attention and convert cold traffic. CONTEXT: - Product & price: [PRODUCT] at [PRICE]. - Audience & awareness level: [AUDIENCE] / [AWARENESS]. - The unique mechanism: [MECHANISM]. - Big promise & timeframe: [PROMISE]. - Proof: [PROOF]. Guarantee: [GUARANTEE]. - Target runtime: [MINUTES]. TASK — write the script in labeled beats: 1. HOOK (0-30s): a pattern interrupt + the promise in one breath. 2. CALLOUT: name the audience and their pain. 3. STORY: a relatable struggle leading to the discovery. 4. MECHANISM: reveal WHY this works when other things failed. 5. PROOF: testimonials/data woven in. 6. OFFER: stack the value, present price with anchoring. 7. RISK REVERSAL: the guarantee. 8. CLOSE + URGENCY: tell them exactly what to do now, twice. OUTPUT FORMAT: Beat-labeled script written for the SPOKEN word with [PAUSE], [ON-SCREEN TEXT], and approximate timestamps. CONSTRAINTS: Write for the ear — short sentences, conversational, no jargon. Open a loop in the hook and close it at the reveal. Keep momentum; cut anything that doesn't advance the sale. Honest urgency only.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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