Review generation
Generate reviews from the employees who earn them.
Cheers helps multi-location service brands collect reviews from frontline customer interactions and see which employees, locations, and regions created them.
For service brands where technicians, sales reps, advisors, reception teams, and local managers shape the customer experience.
2,181
Reviews generated
Alyssa, thank you for your great service in San Jose today.
Customer proof
Results from teams already using Cheers.
Sierra grew its public Google profile from 2,503 to 7,088 reviews at a 4.9 rating, and uses AI visibility checks to pick the next fix.
Read Sierra Air Conditioning & PlumbingGoogle review growth
+4,585
Sierra had 2,503 connected Google reviews before starting with Cheers in September 2024.
Observed 2026-06-04
High-trust moments
Where Cheers fits the work already happening.
The strongest review request is not a blast from corporate. It is the ask that happens after a real service moment, with attribution back to the team that created the trust.
Measure the source, not just the average.
Always-on review freshness without one-off pushes.
Coach teams from real request and conversion data.
Recognize the employees earning public proof.
Strengthen the evidence Google and AI use to recommend you.
Source view
Frontline proof
Jasmine J.
Las Vegas, NV
Adam H.
Las Vegas, NV
Adrian M.
Las Vegas, NV
Fresh proof
86/wk
Source clarity
Person, location, review, and market signal tied together.
Solution strategy guides
Read More About Review Generation
These guides explain the review velocity, compliance, response, and AI ranking work behind this solution.
Where to start
Start with the evidence gaps that matter most.
Define the service moments where a review request should happen.
Launch employee-attributed NFC, QR, and review-link capture across priority teams.
Track adoption, conversion, and review quality by location.
Coach low-performing branches and recognize top performers.
Measure the effect on Google profile strength and AI recommendation visibility.
FAQ
Questions operators ask before switching on Cheers.
The questions teams ask when they are comparing review generation, local SEO, and AI visibility as one operating system.
Review velocity improves when the ask happens consistently after real service moments. Cheers gives frontline teams NFC, QR, and review-link flows, then shows adoption and conversion by employee, branch, region, and brand.
The best review request is neutral, easy to complete, and tied to the moment when trust is highest. Cheers helps teams use badges, QR codes, and review links without pressuring customers or turning the ask into a corporate blast.
Yes. Cheers tracks taps, clicks, completed reviews, ratings, and trends back to the person, location, and market that created the review opportunity, so managers can coach behavior instead of guessing.
Fresh, specific reviews are public proof that a location is active and trusted. Google, Maps, and AI assistants can use that evidence when deciding which local businesses look credible for buyer-intent searches.
Cheers compares review freshness, rating health, tap-to-review conversion, employee adoption, and competitor gaps by location. That gives operators a practical list of branches that need more coaching or proof.
Many review tools focus on sending requests and showing reputation dashboards. Cheers connects the review workflow to employee attribution, branch-level coaching, local SEO, and AI visibility outcomes.
Start getting recommended today.
Run the free grader on one Google Business Profile. Or book a demo and we'll walk through what AI says about you, your reputation, the sites that matter, and the markets you want to win.