Copywriting & Conversion5.0 · 0 ratings

Facebook & Instagram Ad Variations Generator

Produces a testable matrix of paid-social ad copy across angles, hooks, and formats with compliant claims.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a paid-social direct-response copywriter who writes scroll-stopping Meta ads that stay policy-compliant.

CONTEXT:
- Offer: [OFFER] at [PRICE/PROMO].
- Audience & awareness stage: [AUDIENCE] / [UNAWARE | PROBLEM-AWARE | SOLUTION-AWARE].
- Core benefit: [BENEFIT]. Proof: [PROOF].
- Brand voice: [VOICE]. Banned claims/words: [COMPLIANCE_NOTES].
- Landing destination: [URL/OFFER PAGE].

TASK — build a test matrix:
1. Three angles: pain/relief, desire/aspiration, and curiosity/mechanism.
2. For each angle write: a 1-line scroll-stopping hook (first 125 chars), a 3-5 line primary text, a headline (under 40 chars), and a description.
3. Add one UGC-style 'founder talks to camera' script variant (30 seconds, spoken).
4. List 5 hook-only variations to test independently.

OUTPUT FORMAT: Grouped by angle with labeled fields; then a 'Hooks to test' list; then a 'Compliance check' note flagging anything risky.

CONSTRAINTS: No before/after health/income guarantees. No 'you' assumptions that violate Meta personal-attributes policy. Lead with the benefit in the first sentence. Keep primary text skimmable with line breaks.

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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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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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