Review & Reputation Engine
More reviews, a rising rating, and every review answered fast.
A review and reputation engine automatically asks every customer for a review after service and drafts AI responses to the ones you get — auto-posting positives and flagging negatives for a human.
What Review & Reputation Engine changes
- →83% of people who are asked for a review leave one (BrightLocal, 2026)
- →A rising average rating over time
- →Every review answered fast
- →Context: 76% of consumers regularly read reviews for a local business — 98% at least occasionally (BrightLocal, 2023); a 2011 Harvard study found +1 star ≈ 5–9% more revenue for independent restaurants
Independent, industry-standard benchmarks — each cited to its primary source, not Makavele's own results. Your numbers depend on your business.
How Review & Reputation Engine works
- 01
Connect your platforms
We link Google and your other review platforms and set the ask timing.
- 02
Automate the ask
Every completed job triggers a review request at the right moment.
- 03
Draft + route
AI drafts replies; positives auto-post, negatives route to you first.
Who Review & Reputation Engine is for
- Trust-gated local businesses — clinics, med-spa, home services, salons, auto
Scope
Starter
Single location
- →Google primary
- →Automated review requests
- →AI-drafted responses
Growth
Multi-location
- →Multiple locations
- →Second review platform
- →Reputation reporting
FAQ
How many more reviews will I get?+
Asking is the whole thing: 83% of consumers who were asked to leave a review went on to leave one (BrightLocal, 2026). The system asks every customer at the right moment, so reviews arrive steadily instead of trickling in from the occasional volunteer.
Does a higher rating actually drive revenue?+
76% of consumers regularly read reviews for local businesses, and 98% read them at least occasionally (BrightLocal, 2023). A 2011 Harvard Business School study of independent restaurants found each extra star correlated with 5–9% more revenue. We frame both as benchmarks, not guarantees.
What about bad reviews?+
Negatives are flagged for you before anything posts, so a human always handles the sensitive ones while positives publish automatically.
Let's talk.
Tell us what's bleeding hours. We'll tell you honestly if AI fixes it.