Question 1

Is it ethical to screen customers before asking for reviews?

Accepted Answer

Yes, and Google explicitly allows it. What Google prohibits is "review gating" — selectively publishing or suppressing reviews after they're written. Our system asks about satisfaction BEFORE directing to a review platform. All customers can still leave public reviews; we simply route unhappy customers to private feedback first so you can resolve their issue. This is good customer service, not manipulation.

Question 2

Won't customers find automated review requests annoying?

Accepted Answer

The AI sends ONE personalised request at the right moment — not a bombardment. Requests are warm, brief, and include a direct link that takes 30 seconds to complete. We track response rates and adjust timing if engagement drops. In practice, customers appreciate being asked — 70% of consumers will leave a review when requested, but only 30% do so unprompted.

Question 3

How does the AI handle fake or competitor-posted negative reviews?

Accepted Answer

The system flags suspicious reviews based on patterns: no prior reviews from the account, reviewing multiple competitors in your area, IP mismatches, or content that doesn't match any customer interaction. It drafts a professional public response, generates a Google review removal request with supporting evidence, and escalates the case to you with all documentation prepared.

Question 4

What review platforms do you support?

Accepted Answer

We support Google Business Profile, Facebook, TripAdvisor, Healthengine, RateMDs, HotDoc, ProductReview.com.au, Yelp, Trustpilot, and industry-specific platforms. For each platform, we follow their terms of service for review solicitation. You choose which platforms matter most for your business, and the AI distributes requests to maintain a healthy, balanced review profile.

Question 5

Can I customise the review request messages?

Accepted Answer

Absolutely. You control the tone, timing, and content of every request. Most clients start with our proven templates (which average 34% response rates) and then customise. The AI personalises each message with the customer's name, the specific service they received, and the staff member who helped them. You can also A/B test different request styles to find what works best for your audience.

Question 6

What kind of results can I expect and how quickly?

Accepted Answer

Most businesses see a 50-100% increase in review volume within the first month, simply because they're consistently asking. The 312% average increase takes about 3-4 months as the system optimises timing and messaging. Rating improvements depend on your starting point — if you're at 3.5 stars, expect to reach 4.2-4.5 within 90 days as the sentiment pre-screening prevents negative public reviews while you fix underlying issues.

Feature	AI Review Automation	Review Platforms	Manual Requests
Intelligent Request Timing
Sentiment Pre-Screening
Multi-Platform Distribution
AI Response Generation
Negative Review Alerts
Competitor Monitoring
Trend Analysis & Insights
Website Review Widget

AI Review Automation — Turn Happy Customers into 5-Star Reviews on Autopilot

Why Reviews Are Your Biggest Revenue Driver

increase in review volume

avg star rating (was 3.9)

estimated revenue from ratings

How AI Review Automation Works

Connect Your Review Platforms

AI Requests Reviews Intelligently

Responses Generated Automatically

Reputation Grows Continuously

Complete Reputation Intelligence

Smart Review Request Timing

Multi-Platform Distribution

Sentiment Pre-Screening

Negative Review Alerting

Response Generation AI

Review Analytics & Trends

Competitor Review Monitoring

Review Widget for Website

Voice Agent + Review Requests

AI Review Automation vs Other Approaches

AI Review Automation for Your Industry

Healthcare

Hospitality

Dental

Trades

Related Integrations

AI Social Media Automation

AI Smart Reminders

AI Support Automation

Frequently Asked Questions