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.
Operating view
What Cheers shows the team.
Cheers brings field activity, reviews, website gaps, and AI answers into one view, so marketing and operations can decide what to fix by location.
NFC + QR
Use badges, QR codes, review links, and configured destinations to make the ask easy.
Frontline
Connect each review to the employee, card, link, location, and organization that earned it.
Search evidence
Tie review freshness and quality to local visibility, competitors, citations, and AI answers.
Product path
From the tap to the recommendation.
NFC badges and QR flows capture the customer moment. The rest of Cheers shows whether it produced a review, strengthened the location, and changed how the market sees the business.
NFC + QR capture
Badges, QR flows, and review links give field and front-desk teams a simple way to ask after a good customer moment.
Employee attribution
Taps, link clicks, reviews, ratings, and conversion rates roll up by employee, location, region, and brand.
Location intelligence
Google profiles, review velocity, citations, competitors, and location pages are monitored by market.
AI visibility
Tracked prompts show when ChatGPT, Gemini, Perplexity, and Google recommend you, cite you, or skip you.
The gap
Most review programs measure the average, not the source.
A corporate review campaign can raise volume for a moment. A frontline review system shows who asked, who converted, what customers said, and whether those reviews changed local visibility.
Increase review volume and freshness without one-off campaigns.
Coach frontline teams from actual review request and conversion data.
Reward employees who earn useful, public reviews for the brand.
Strengthen the review and profile evidence Google and AI assistants use to recommend businesses.
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.
Badge tap
A customer taps or scans an employee profile and lands in the right review path.
Review conversion
Cheers tracks whether the interaction becomes a completed review or stalls.
Employee scorecard
Managers see reviews, clicks, taps, ratings, and trends by person.
Location lift
Review velocity is tracked alongside market-level local and AI visibility.
Workflow
Review requests that fit real service moments.
Cheers helps teams ask when trust is highest, then gives managers visibility into adoption, conversion, and the customer language showing up in reviews.
NFC, QR, and review-link capture flows for frontline teams.
Employee and location attribution.
Reporting for adoption, conversion, ratings, and review text.
Management
Coach the behavior behind the metric.
Leadership can finally see which teams consistently create reviews and which branches need operational help before reputation becomes a local growth problem.
Branch, region, and employee-level reporting.
Recognition inputs for top performers.
Early warnings for locations losing review momentum.
Search impact
Use fresh reviews to improve local visibility.
Fresh, specific reviews make a location more credible to buyers and easier for search systems to evaluate. Cheers tracks review generation alongside profiles, citations, local SEO, and AI recommendations.
Google profile performance context by location.
Competitive review benchmarks by market.
AI visibility monitoring as reputation changes.
Where to start
Start with the locations where the evidence is weakest.
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
Does Cheers send review requests for every location?
Cheers supports multi-location review workflows and reporting so brands can activate consistent review capture while still understanding performance by location and employee.
Why does review velocity matter for AI visibility?
AI assistants need current public evidence to choose one local provider over another. Fresh reviews, specific customer language, and consistent ratings help make a business more recommendable.