AI Prompts for Marketing Copy
AI prompts to help marketing teams write high-converting copy, email campaigns, and social media content faster.
Write a compelling headline for this product landing page.
Generate five subject line variations for this email campaign.
Rewrite this ad copy to be more conversion-focused.
Create three social media captions for this product launch.
Write a 150-word product description for this feature.
Draft a call-to-action for a free trial sign-up page.
Suggest improvements to increase click-through rate on this email.
Write a customer testimonial prompt to send post-purchase.
Create an A/B test variation for this landing page headline.
Summarise this blog post into a LinkedIn post with a hook.
How to Use These Prompts
You can copy any prompt above and use it with tools like ChatGPT, Claude, or other AI assistants.
- 1Copy the prompt
- 2Paste it into your AI assistant
- 3Replace placeholders with your specific context
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Frequently Asked Questions
What are AI marketing copy prompts?
AI marketing copy prompts are structured instructions given to AI assistants like ChatGPT or Claude to help with marketing copy tasks. You provide relevant context — such as code snippets, error messages, or requirements — so the AI can give targeted, actionable suggestions.
How do I use ChatGPT or Claude for marketing copy?
Copy one of the prompts from this page, paste it into ChatGPT or Claude, and include your specific context such as code, error output, or requirements. Providing more detail helps the AI give more accurate and useful responses.
What should I include in a marketing copy prompt?
The best marketing copy prompts include relevant context such as the programming language or platform, any error messages or expected behaviour, and what you have already tried. This helps the AI assistant understand the problem and give more precise guidance.
Can AI fully automate marketing copy?
AI tools can significantly speed up marketing copy tasks by generating suggestions, identifying issues, and drafting solutions. However, professionals should review all AI output carefully before applying it, especially in production environments.