Home service roll-ups
Manage reviews and local visibility by branch.
Cheers is built for PE-backed and multi-location home service operators that need every branch, truck, and employee to contribute to reputation. Capture reviews at the point of service, connect them to the team that earned them, and track whether Google and AI assistants have enough evidence to recommend each location.
For HVAC, plumbing, electrical, pest, garage door, restoration, and franchise service brands with 20 to 500 locations.
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
Give frontline teams branded badges, QR flows, and review links that fit real service moments.
Employee-level
Know which technicians, advisors, reps, and branches generate the reviews that move revenue.
AI answers
Measure whether ChatGPT, Gemini, Perplexity, and Google recommend the right locations.
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
Portfolio averages hide the markets where local demand is leaking.
Home service growth depends on local trust. The problem is that review requests happen inconsistently, profiles drift by market, citations fragment after acquisitions, and leadership sees averages instead of the teams creating reputation. Cheers makes the frontline reputation system measurable across every location.
Raise review velocity without putting more manual work on branch managers.
Show leadership which locations, regions, and frontline teams are creating reputation lift.
Expose weak citations, stale Google profile fields, and market-level visibility gaps after acquisitions.
Give AI systems clearer review, profile, citation, and page evidence when customers ask who to hire locally.
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.
Post-service handoff
Make the review request part of the closeout, not a manager reminder.
Acquisition integration
Normalize local identity, profile data, review capture, and reporting after a new brand joins.
Regional scorecard
Give operators a weekly view of locations, teams, and markets needing attention.
Board reporting
Show review growth, employee engagement, competitor gaps, and AI visibility in one board-ready view.
Frontline activation
Make reputation creation part of the operating cadence.
Cheers gives field teams simple review links and badges, plus branch-level reporting for managers.
Technician, advisor, rep, and employee attribution for captured reviews.
Market, branch, and team reporting for coaching and incentives.
Review request workflows built around completed jobs and customer trust.
Local entity clarity
Clean up the location data that gets messy as brands scale.
Multi-location operators inherit inconsistent names, addresses, service areas, categories, and citations. Cheers surfaces the gaps that confuse Google and AI systems.
Google profile and connected-platform checks across brands and branches.
Competitive benchmarks by category and market.
Prioritized fixes for the locations most likely to lose demand.
AI visibility
See whether AI recommends you before the lead goes elsewhere.
Customers now ask AI assistants who to call. Cheers tracks the answers, the cited sources, and the reputation patterns that make a brand recommendable.
Prompt-level AI recommendation tracking for priority markets.
Citation source analysis across review sites, directories, and local pages.
Action plans tied to reviews, profiles, citations, and page fixes.
Where to start
Start with the locations where the evidence is weakest.
Audit Google profile, review, citation, competitor, and AI visibility gaps by location.
Launch NFC, QR, and review-link capture with employee attribution.
Benchmark local competitors and identify the markets where reviews, citations, or page coverage are weakest.
Coach teams from real review outcomes, not branch averages.
Track AI recommendations and cited sources as reputation velocity improves.
FAQ
Is Cheers built for single-location contractors?
Cheers is best for multi-location operators, PE-backed roll-ups, and franchise service brands where leadership needs consistent review generation, local visibility, and frontline attribution across many markets.
Why not make this page only about NFC badges?
NFC badges matter because they start the review request. The real value is the reporting after the tap: who asked, who converted, and which locations improved.