ChatGPT Prompt to Write High-Converting Email Subject Lines
This ChatGPT prompt for email subject lines is for marketers, founders, and anyone sending newsletters or campaign emails who wants more opens without resorting to clickbait that tanks trust or triggers spam filters. A subject line has one job: get the email opened, and that means it has to earn attention in a crowded inbox in under 60 characters while still being honest about what's inside.
The prompt below asks ChatGPT, Claude, or Gemini to generate a batch of subject line variations for a single email, each built around a different angle β curiosity, urgency, benefit-driven, personalization, or a direct/plain statement β so you can see several real options side by side instead of one guess. It also asks the model to flag any line that risks landing in spam (too many exclamation points, all caps, words like "free" or "guarantee" stacked together) so you're not shipping something that never reaches the inbox at all.
Subject lines are short, so small wording choices matter more than in almost any other piece of copy, and it's easy to end up with five variations that all sound the same. Once you've got a batch you like, running the strongest two or three through Compare & Diff can help you see exactly how they differ side by side before you commit to an A/B test.
Prompt template
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Example input
When to use it
- You're sending a newsletter or campaign email and want several real subject line options instead of settling for the first one you think of
- Your open rates have been flat or declining and you suspect subject line fatigue is part of the problem
- You're A/B testing subject lines and need genuinely distinct variations, not five versions of the same phrase
- You need to write a subject line fast under deadline and want a structured way to generate options rather than staring at a blank line
Best practices
- Give the model the actual email body or a summary of it, not just a topic, so the subject line reflects what's really inside
- Ask for subject lines built around different angles (curiosity, benefit, urgency, plain statement) rather than five variations on the same idea
- Set a hard character limit (most inboxes truncate around 40-60 characters on mobile) so you're not writing lines that get cut off
- Explicitly ask the model to flag anything that reads as spammy or clickbait-y, since those patterns can hurt both open rates and deliverability
Common mistakes
- Asking for "catchy" subject lines with no other direction, which tends to produce generic clickbait that doesn't match the actual content
- Not giving a character limit, so half the options get cut off on mobile before the key word appears
- Overusing urgency or scarcity language in every line, which trains recipients to tune out your emails over time
- Testing subject lines that are only cosmetically different (swap one adjective) instead of testing genuinely different angles
FAQs
How many subject lines should I test at once?
Two at a time is usually enough to get a clean read on which angle performs better; testing more than two or three simultaneously dilutes your sample size and makes results harder to trust unless your list is very large.
Why do my AI-generated subject lines all sound the same even when I ask for variety?
This usually happens when the prompt doesn't specify distinct angles. Explicitly asking for curiosity, benefit, urgency, and plain-statement versions, as separate categories, forces the model to actually vary its approach instead of rephrasing the same idea five times.
What words should I avoid in subject lines to stay out of spam folders?
Words like "free," "guaranteed," "act now," and "winner," especially stacked together or paired with excessive punctuation or all caps, are commonly flagged by spam filters. A single instance of one word rarely causes issues, but the combination and frequency matter.
What tool can help me compare which subject line option is actually stronger?
Compare & Diff β it lets you line up two prompt or copy variations side by side, which is useful for deciding between your top subject line candidates before running a live test.