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Set up Reviews AI to automatically respond to every Google review your business receives — positive reviews get a warm thank-you, negative reviews get an empathetic response and trigger follow-up actions, and you never miss a review again.
Overview

Reviews AI overview with response modes and agent management table

Reviews AI settings showing Off, Suggestive, and Auto Responses modes with the agents list below

Architecture overview

The review automation flow works as follows:
  1. Review received — A customer leaves a review on your Google Business Profile.
  2. Review synced — HoopAI detects the new review and syncs it to the reviews dashboard.
  3. AI analysis — Reviews AI analyzes the review’s sentiment, star rating, and content.
  4. Response generation — The AI drafts a response matching the appropriate tone for the review type.
  5. Response handling — Depending on your mode (auto-pilot or suggestive), the response is either posted automatically or queued for your approval.
  6. Follow-up actions — Workflows trigger based on the review rating: thank-you sequences for positive reviews, recovery sequences for negative reviews.

Step-by-step build

1

Connect your Google Business Profile

Navigate to Settings > Integrations and connect your Google Business Profile (GBP).Requirements:
  • You must have owner or manager access to the GBP listing
  • The listing must be verified with Google
  • If you have multiple locations, connect each one
Once connected, HoopAI will sync existing reviews and begin monitoring for new ones. See Google My Business chat for integration details.
2

Navigate to Reviews AI settings

Go to AI Agents > Reviews AI (or Reputation > Reviews depending on your navigation). This is where you configure how the AI handles review responses.
Create new Reviews AI agent button and interface

Creating a new Reviews AI agent from the agents dashboard

Reviews AI create agent interface showing available agent templates

Creating a new Reviews AI agent with template selection

3

Choose your response mode

Reviews AI offers two modes:Auto-pilot mode (recommended after testing):
  • The AI automatically posts responses to reviews without human approval
  • Best for businesses that receive many reviews and want instant responses
  • You can still edit or delete responses after they are posted
Suggestive mode (recommended for initial setup):
  • The AI drafts a response and queues it for your approval
  • You review, edit if needed, and then approve to post
  • Best for businesses that want to maintain tight control over public responses
Start with suggestive mode for the first two weeks. Review every AI-generated response to make sure the tone and content match your expectations. Once you are confident, switch to auto-pilot.
Reviews AI agent name configuration panel

Configuring the Reviews AI agent name and basic settings

Agent name and tone configuration panel

Setting the agent name and response tone for your Reviews AI agent

4

Configure response tone and style

In the Reviews AI settings, customize the response parameters:Business information:
  • Business name (as it should appear in responses)
  • Business type and industry
  • Key services or products to mention
Tone settings:
  • Positive reviews (4-5 stars): Warm, grateful, enthusiastic. Thank the reviewer by name, reference specific details from their review, and invite them back.
  • Neutral reviews (3 stars): Professional, appreciative, improvement-focused. Thank them for the feedback, acknowledge what went well, and address any concerns.
  • Negative reviews (1-2 stars): Empathetic, professional, solution-oriented. Apologize for their experience, do not get defensive, and offer to resolve the issue offline.
Style guidelines:
  • Keep responses to 2-4 sentences
  • Always use the reviewer’s name if available
  • Reference specific details from their review to show you read it
  • Include a call to action (come back soon, call us to resolve, etc.)
  • Never argue, make excuses, or blame the customer
Response behavior configuration with tone and style options

Reviews AI response behavior settings for positive and negative review handling

Response behavior configuration with auto-response toggles

Reviews AI response behavior settings showing how responses are handled by rating

Auto-responses configuration for Reviews AI

Auto-responses mode showing fully automated review reply settings

5

Set up rating-based response rules

Configure different behavior based on the star rating:
Always have a human review responses to 1 and 2-star reviews before posting, even if you use auto-pilot for positive reviews. A poorly worded response to a negative review can go viral and cause significant brand damage.
Save button for Reviews AI settings

Saving the Reviews AI agent configuration

6

Build the positive review workflow

Create a workflow triggered by Tag Added — “review-5-star” or “review-4-star”:
  1. Send thank-you SMS (if you have the reviewer’s phone number): “Hi {{contact.first_name}}, thank you so much for the wonderful review! It means a lot to our team. We look forward to seeing you again.”
  2. Add to referral campaign: Positive reviewers are your best source of referrals. Add them to a referral request sequence 7 days later.
  3. Add to loyalty segment: Tag them for exclusive offers or loyalty programs.
  4. Internal celebration: Send an internal notification to the team so they know they are doing great work.
7

Build the negative review recovery workflow

Create a workflow triggered by Tag Added — “review-negative”:
  1. Alert the manager immediately: Internal SMS and email with the review text, reviewer name, and star rating
  2. Create urgent task: Assigned to the manager with a 2-hour due time — “Contact {{contact.name}} to resolve their review complaint”
  3. Wait 1 hour (give the manager time to respond publicly first)
  4. Send private outreach (if you have their contact info): “Hi {{contact.first_name}}, I saw your recent feedback and I want to make this right. Can we chat about your experience? I am available at [PHONE] or you can reply to this message.”
  5. If resolved (manager marks task complete): Send a gentle follow-up in 7 days asking if they would consider updating their review
  6. Track resolution: Update a “Review Resolution” custom field
Never ask a customer to delete or change a negative review directly. Instead, resolve their issue and then gently mention: “If your experience has improved, we would be grateful if you updated your review to reflect that.” This approach is both ethical and more effective.
8

Build the review request workflow (proactive)

Do not just respond to reviews — proactively ask happy customers to leave them:Trigger: Appointment completed, invoice paid, or custom event indicating a positive interaction
  1. Wait 2 hours after the positive interaction
  2. Send SMS: “Hi {{contact.first_name}}, we hope you had a great experience with us today! If you have a moment, we would really appreciate a Google review. It helps other people find us: [REVIEW LINK]”
  3. Wait 3 days: If no review detected, send one follow-up: “Just a friendly reminder — if you enjoyed your experience, a quick Google review would mean the world to us: [REVIEW LINK]”
  4. Do not send more than 2 requests per interaction
Timing matters. The best time to ask for a review is immediately after a positive experience, while the good feelings are fresh. Two hours is the sweet spot — long enough to not feel pushy, short enough to be top-of-mind.
9

Configure review monitoring alerts

Set up alerts so you never miss an important review:
  1. All negative reviews (1-2 stars): Instant SMS + email to the business owner or manager
  2. All reviews: Daily summary email with new reviews, average rating, and response status
  3. Weekly report: Week-over-week review volume, average rating trend, response rate, and resolution rate
Go to Automation > Workflows and create notification workflows for each alert type.

Full prompt

Reviews AI uses a configuration-based approach rather than a traditional prompt. However, you can customize the response style by providing guidelines. Here is a configuration template:

Testing your review automation

1

5-star review test

Leave a test 5-star review (or simulate one). Verify the AI generates an enthusiastic, personalized response and the positive review workflow fires.
2

3-star review test

Simulate a 3-star review with mixed feedback. Verify the AI acknowledges both positives and concerns and invites further conversation.
3

1-star review test

Simulate a 1-star review with a specific complaint. Verify the response is empathetic, does not get defensive, and offers to resolve the issue offline. Verify the negative review workflow fires and the manager is alerted.
4

Suggestive mode test

If using suggestive mode, verify that responses are queued for approval and not posted automatically.
5

Auto-pilot mode test

If using auto-pilot, verify that positive review responses are posted automatically and negative reviews are still queued for approval (per your rating-based rules).
6

Review request workflow test

Complete a test appointment and verify the review request SMS fires 2 hours later with the correct Google review link.
7

Notification test

Verify that the daily summary email and instant negative review alerts arrive correctly.

Optimization tips

  1. Respond to every review within 24 hours. Google’s algorithm favors businesses that respond quickly and consistently. Auto-pilot mode ensures you never miss a response.
  2. Personalize every response. The AI should reference specific details from the review (the service they used, the team member they mentioned, the outcome they experienced). Generic “Thank you for your review” responses feel robotic and can actually hurt your reputation.
  3. Track your response rate. Aim for 100% of reviews responded to. Even a simple thank-you on a 5-star review signals to potential customers that you care.
  4. Monitor sentiment trends. If your average rating drops, investigate immediately. Look at the negative reviews from the past 30 days and identify common themes (wait times, specific services, certain team members).
  5. Use negative reviews as improvement data. Every negative review is free market research. Track complaint categories and share them with your team weekly. Businesses that act on review feedback see measurable improvement within 90 days.
  6. Increase review volume with proactive requests. Most happy customers do not leave reviews unless asked. A well-timed review request can double your monthly review volume. More reviews also dilute the impact of occasional negative ones.

KPIs to measure success


Next steps

Multi-location bot

Manage review automation across multiple Google Business Profile locations.

After-hours support

Handle negative review follow-ups even outside business hours.

Reputation management

Full guide to reputation management in HoopAI.

Workflow automation

Build more sophisticated review response and recovery workflows.
Last modified on March 7, 2026