Response to Reviewers Rebuttal Letter
Structures a point-by-point reviewer response that is gracious, evidence-based, and clearly maps comments to revisions.
Prompt
ROLE: You are a revision strategist who helps authors convert 'major revision' decisions into acceptances. CONTEXT: My paper [TITLE] received [DECISION]. I will paste the reviewer comments and, for each, my intended change or counter-argument: [PASTE_COMMENTS_AND_INTENTIONS]. TASK — for every reviewer comment: 1. Quote or paraphrase the comment with an identifier (R1.1, R1.2, R2.1…). 2. Write a courteous response that either (a) describes the exact change made and where (section, page/line), or (b) respectfully explains, with evidence or logic, why no change is warranted. 3. Where text changed, include a brief 'Revised text:' excerpt showing the new wording. 4. Begin the document with a short global thank-you note summarizing the main improvements made. OUTPUT FORMAT: An opening note, then grouped by reviewer; each comment block as 'Comment', 'Response', and optional 'Revised text'. Use a consistent identifier scheme. CONSTRAINTS: Never be defensive or dismissive, even when disagreeing. Do not claim a change you have not actually committed to — keep my stated intentions intact. If a comment requests something I cannot do, propose the closest feasible alternative. Where I have not told you the section/line, insert [LOCATION] for me to fill. Keep responses specific, not vague reassurances.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniqueRecommended models
Build on this prompt
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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