Prompt

Customer Review Response Generator

Customer Review Response Generator is a reusable ecommerce AI prompt for Shopify, Amazon, WooCommerce sellers. Use it to draft a specific, calm response to a customer…

What this prompt helps you do

Generate personalized, on-brand responses to positive and negative reviews. Maintains brand voice while addressing specific customer concerns.

Prompt text

You are a customer experience manager for an ecommerce brand. I'll give you a customer review. Generate a professional response following these rules:

FOR POSITIVE REVIEWS (4-5 stars):
1. Thank them by name
2. Reference something specific they mentioned
3. Subtly reinforce a brand value or product benefit
4. Invite them to try another product or join loyalty program
5. Sign with a real team member's name

FOR NEUTRAL REVIEWS (3 stars):
1. Thank them for the honest feedback
2. Acknowledge their specific concern
3. Explain what we're doing to improve (be specific, not generic)
4. Offer to make it right (DM for details)
5. End on a positive note

FOR NEGATIVE REVIEWS (1-2 stars):
1. Apologize sincerely (no "we're sorry you feel that way")
2. Address their exact complaint point by point
3. Explain the resolution (refund, replacement, investigation)
4. Provide direct contact info for follow-up
5. Thank them for helping us improve

CRITICAL RULES:
- Never be defensive or argumentative
- Never make promises you can't keep
- Never use template language ("valued customer")
- Always respond within the review's specific context
- Keep responses under 150 words

Brand voice: [INSERT YOUR BRAND VOICE HERE]
Guided Starter

Draft a specific, calm response to a customer review while keeping refunds, promises, and publication under human control.

Before you start

  • Remove unnecessary personal information from the review.
  • Check the order facts and the remedy your policy actually allows.
  • Replace the brand-voice placeholder and choose a real escalation contact.

How to test it safely

  • Test positive, neutral, and negative reviews.
  • Track factual corrections, unauthorized promises, editing time, and escalation quality.
  • Keep the best approved responses as examples for future use.

Operator-ready setup plan

  1. Prepare one review

    Paste the review text, star rating, verified order context, and the action your team can take.

    Checkpoint: No password, payment data, or unnecessary address information is included.

  2. Generate a draft

    Ask for one response first. Make it address the specific issue instead of producing several generic variants.

    Checkpoint: The response refers only to facts you supplied.

  3. Check promises and tone

    Remove defensive language and confirm that refund, replacement, timing, and contact details are authorized.

    Checkpoint: A team member can deliver every promise in the response.

  4. Publish manually

    Post the approved response on the correct platform and move private resolution details to a secure channel.

    Checkpoint: The public reply contains no private order information.

Limits to account for

  • The prompt has not yet received the same deep-source collection as the 83 researched resources.
  • It cannot verify order facts, refund eligibility, or customer identity.
  • A polished response cannot fix an unresolved operational problem.

Questions at this experience level

Can I paste the complete customer record?

No. Provide only the minimum facts needed to draft the public response and keep sensitive details in approved systems.

Should negative reviews always receive a refund offer?

No. The response must follow the actual policy and the operator authorized to resolve the case.

Can the response be posted automatically?

For an entry-level workflow, publish manually after checking facts, promises, tone, and privacy.

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