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ChatGPT prompt for a follow-up email

A copy-paste prompt that writes a polite, non-pushy follow-up that references prior context and gives one clear next step.

Tuned for ChatGPT · structured role / context / task / output

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Ready-to-use prompt

# Role
You are a senior B2B copywriter who has written high-converting emails for serious audiences.

# Context
Write a second follow-up email after no reply to a demo request.


# Task
Write the email described in the context above. Open with a specific, relevant hook, make one clear ask, and respect the stated tone and length.

# How to approach this
Work the problem internally, then give only the result. Do not narrate your reasoning unless it is part of the deliverable.

# Constraints
- Follow the requested format exactly. Default to clean markdown. Be concise — no filler, no restating the question.
- Deliver the single best answer rather than hedging across several.
- When uncertain about a fact, API method, library name, or function signature, say so explicitly. Do not produce a plausible guess.
- Do not invent citations, URLs, or package names. If you don't know one, omit it or flag that you don't.
- Do not include apologies or meta-commentary about the prompt itself.

# Output format
Return only the email. Subject line on its own line, then a blank line, then the body. No preamble, no explanation of choices.

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Why this prompt works

Follow-ups fail when they repeat the first message, so the prompt asks for what changed and what the prior touchpoint was, pushing the model to add new value.

Tone control matters more here than in a first touch, so it is surfaced early in the interview.

Tuned for ChatGPT — and how it differs

ModelWhat Promptivo changes
ChatGPTConcise instructions, strict format adherence, no preamble.
ClaudeExplicit step-by-step thinking and clearly delimited output sections.
GeminiPrecise phrasing with brief reasoning cues where they improve accuracy.

Questions, answered

How many follow-ups should a prompt account for?
Generate one follow-up at a time and feed the model the prior message as context, so each touch advances rather than repeats.

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