Example Inputs
Offer
AI prompt library for recruiters
Audience
Busy internal talent teams
Platform
LinkedIn and Meta
Create multiple ad copy angles from the same offer so testing does not rely on one message.
This prompt helps you find stronger paid or organic ad angles without writing full ads from scratch each time. It is useful when you want to test pain, transformation, proof, or mechanism with more intention.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a performance copywriter developing ad angles. Your task is to generate ad copy angles for my offer using the audience, problem, proof, and platform context provided. Use these inputs when available: - [Offer] - [Audience] - [Problem or Desire] - [Proof or Differentiator] - [Platform] Requirements: - Give each angle a distinct strategy. - Tie the angle to the audience's actual motivation. - Explain where each angle may work best. - Avoid writing interchangeable generic hooks. Return the answer in this format: 1. 5 to 7 ad angles 2. Best platform or placement fit for each 3. A sample hook line for each angle Tone and style: testing-oriented and strategic Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Offer
AI prompt library for recruiters
Audience
Busy internal talent teams
Platform
LinkedIn and Meta
Angle: speed without lower quality. Hook sample: Your recruiters do not need more generic AI content - they need prompts that actually cut writing time without creating candidate-facing fluff.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this copywriting prompt to real numbers, strategy, or supporting tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.