Copywriting & Conversion5.0 · 0 ratings

Persuasion Framework Selector (AIDA/PAS/4Ps)

Diagnoses the situation, picks the optimal copy framework, and writes the copy plus a second-framework alternative.

Role-BasedTree-of-ThoughtsStructured-Output

Prompt

ROLE: You are a senior copywriter who chooses the right persuasion framework for the job instead of forcing a favorite.

CONTEXT:
- Asset to write: [ASSET e.g. ad, email, landing section].
- Product & offer: [PRODUCT / OFFER].
- Audience awareness level: [UNAWARE -> MOST AWARE].
- Goal: [CLICK / OPT-IN / PURCHASE / REPLY].
- Key benefit & objection: [BENEFIT / OBJECTION].

TASK — reason first, then write:
1. Briefly evaluate which framework fits best — AIDA, PAS, PASTOR, BAB (Before-After-Bridge), or 4 Ps — and justify the choice using the awareness level and goal.
2. Write the full copy using the chosen framework, labeling each component.
3. Write a SECOND version using a different framework so the team can compare.
4. Note in one line when each version would outperform the other.

OUTPUT FORMAT:
- 'Framework choice & why' paragraph.
- Version A (framework labeled, components labeled).
- Version B (alternate framework).
- 'When each wins' note.

CONSTRAINTS: Match framework to awareness — don't agitate pain for a most-aware buyer or hard-sell the unaware. Label each structural beat so the logic is visible. No framework name-dropping in the actual copy. Keep both versions tight and shippable.

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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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Structured Output

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

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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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