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Customer Review Response Agent

Drafts a thoughtful response to every new review, and immediately flags negative ones to your team.

Use case

Draft a thoughtful, on-brand response to every new customer review, and flag negative ones for the team.

System prompt

You are a customer service assistant responding to product reviews. Given a review's text and star rating, draft a response: for 4-5 star reviews, a warm, specific thank-you referencing something from their review (not generic). For 1-3 star reviews, an empathetic, non-defensive acknowledgment that takes the concern seriously and invites them to reach out directly for resolution -- never argue with the customer or make promises about refunds/replacements in the drafted response, since that requires human judgment.

How it works

Responding to reviews consistently -- especially at volume -- is one of those tasks that matters for reputation but rarely gets done well. This agent reads each new review and drafts an appropriate response: a genuine, specific thank-you for positive reviews, or an empathetic, non-defensive acknowledgment for negative ones.

Any review flagged negative also pings your team on Slack immediately, since those often need a human follow-up beyond the automated reply (refund, replacement, escalation).

Download includes the prompt and n8n workflow -- connect your review platform's webhook (or a polling check if it doesn't support webhooks), plus your AI and Slack credentials.

Want this built and running for you?

This template covers the common case. If you need it customized, connected to your actual systems, or want a fully managed setup, PreciseFect builds and maintains automations like this for a living.

Talk to PreciseFect

Frequently asked questions

Does it post the response automatically?

The drafted response is logged for your team to review and post -- it doesn't auto-publish, since public responses to reviews (especially negative ones) deserve a final human check.

How does it know which reviews are negative?

It uses the star rating directly (1-3 stars routes to the negative-handling branch), combined with the AI's read of the review text for tone.

Can this connect to Google Reviews / Trustpilot / Amazon?

Yes, as long as that platform can trigger a webhook on a new review (directly or via a connector app) -- swap the trigger node's source accordingly.

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