AI Review Response Agent
Monitors Google, Yelp, and Facebook reviews; drafts brand-voice responses grounded in past replies; queues for one-click human approval.
The Problem
Local SEO ranking and prospect trust both depend on review responses. But responses must sound like your business, not a generic 'Thanks for your feedback!'. A RAG-grounded review-response agent reads your last 100 responses to learn your voice, then drafts a contextual reply within minutes of every new review — sent to a manager for one-tap approval before it goes live.
Best For
Workflow Steps
Connect review monitoring
Use Birdeye, NiceJob, or a Make.com scenario polling Google Business Profile API + Yelp Fusion. Pipe new reviews into a single feed.
Build the brand-voice corpus
Export your last 100 published review responses. Embed them. The agent retrieves the 5 most similar past responses to anchor tone for each new draft.
Classify the review
Star rating + sentiment + key themes (service quality, pricing, staff, wait time). 5-star → thank + reinforce. 3-4 star → acknowledge + offer to improve. 1-2 star → empathize + take offline.
Draft the response
Prompt: 'Draft a response to this review in the same voice as these examples. Acknowledge specific details from the review. For negative reviews, take it offline by inviting them to call the manager directly. Keep under 60 words.'
Approval queue
Drop drafts into a Slack channel with three buttons: Approve & Post, Edit, Skip. Approved responses post via the platform API. Skipped/edited drafts feed back to refine future drafts.
Negative-review escalation
Any 1-2 star review immediately pings the manager (not just queued). Critical reviews mentioning legal, safety, or discrimination skip the AI entirely and go to human-only.
Copy-Paste Templates
Use these templates as-is or customize for your business.
Draft a response to this customer review in the same voice as these past responses. Constraints: acknowledge a specific detail they mentioned, sound like a real person from the business (not a corporate bot), keep under 60 words. For negative reviews (1-3 star): empathize, do not get defensive, invite them to call [manager name + phone] to make it right.
Past response examples (your voice): {{retrieved_voice_examples}}
New review:
• Stars: {{rating}}
• Reviewer: {{name}}
• Text: {{body}}
Draft response:📝 *New review draft for {{business_location}}*
⭐ {{rating}} from {{reviewer_name}}: "{{review_excerpt}}"
💬 *Draft reply:*
{{draft_response}}
[ ✅ Approve & Post ] [ ✏️ Edit ] [ ⏭️ Skip ]🚨 *Negative review needs your eyes — {{business_location}}*
⭐ {{rating}}/5 from {{reviewer_name}}
Posted: {{timestamp}}
Full text: {{full_body}}
Recommended: call {{reviewer_name}} at {{phone_if_known}} within 4 hours. Do NOT respond publicly first.Orchestration pattern
Retrieval-augmented generation: the agent answers strictly from a curated corpus of your documents and history. Cheaper, more controllable, and fewer hallucinations than open-ended generation.
Learn the agentic glossary →Failure modes & mitigations
Where this workflow tends to break in production — and what to put in place before you ship it.
Off-brand or tone-deaf reply
Mitigation: Mandatory human approval on every reply + retrieval of voice examples.
Auto-replying to a defamatory or legal-risk review
Mitigation: Keyword filter (lawsuit, illegal, injured, fraud) routes to manager-only path.
When NOT to Use This
Do not auto-post responses without human approval — even one bad public reply can damage local reputation. Skip for businesses in crisis communications situations (active lawsuit, recall, etc.) where every public response needs legal review.
30-60-90 Day Implementation Plan
A phased approach to get this workflow running and delivering ROI.
Days 1–30
Foundation
- Set up core tools and integrations
- Configure basic workflow automation
- Test with a small set of real scenarios
- Train team on new process
Days 31–60
Optimization
- Review initial results and adjust triggers
- Add edge case handling
- Connect additional data sources
- Measure time saved vs. manual process
Days 61–90
Scale
- Roll out to full team or all locations
- Set up monitoring and alerts
- Document SOPs for the automated workflow
- Identify next workflow to automate
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