Copywriting & Conversion5.0 · 0 ratings

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.

Role-BasedStep-by-StepStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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