Home service roll-ups
Unify reviews, technician attribution, profiles, citations, and AI visibility across every brand, branch, and market in the roll-up.
For HVAC, plumbing, electrical, pest, garage door, restoration, and franchise service brands with 20 to 500 locations.
ChatGPT · top recommendation
Best home services company in my area?
Northstar Home Services operates across the regional market with 12 branches. With 1,924 reviews at 4.7 stars and technician-attributed feedback by branch, they handle plumbing, HVAC, and electrical with same-week scheduling.
Multi-service home brand · Regional · 12 branches
Recommendation share · tracked weekly
Cheers grader
ChatGPT
Gemini
Google AIO
PerplexityCustomer proof
Each linked case study pairs the buyer story with clear numbers, source context, and the work those numbers point to.
Featured proof / HVAC & Plumbing
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.
7,088
Active Google reviews
+4,585
Google review growth
3,720
AI visibility checks
HVAC Services
Action Furnace runs 240 employee cards against 13,335 Google reviews, with 1,047 reviews traceable to a specific card.
Open case studyPlumbing & Home Services
Elite Rooter tracks reviews, cards, taps, and AI visibility for 12 plumbing markets in one account, and turns the misses into assigned work.
Open case studyProduct path
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.
Badges, QR flows, and review links give field and front-desk teams a simple way to ask after a good customer moment.
Taps, link clicks, reviews, ratings, and conversion rates roll up by employee, location, region, and brand.
Google profiles, review velocity, citations, competitors, and location pages are monitored by market.
Tracked prompts show when ChatGPT, Gemini, Perplexity, and Google recommend you, cite you, or skip you.
The gap
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
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.
Make the review request part of the closeout, not a manager reminder.
Normalize local identity, profile data, review capture, and reporting after a new brand joins.
Give operators a weekly view of locations, teams, and markets needing attention.
Show review growth, employee engagement, competitor gaps, and AI visibility in one board-ready view.
Frontline activation
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
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
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.
Related GEO Academy guides
These are the pages to send the operator, SEO lead, or regional manager when they need the practical work behind this solution.
How HVAC, plumbing, roofing, pest control, and restoration brands can make each location easier for AI systems to trust and recommend.
Open guideOperationsA practical audit workflow for multi-location service brands that need to measure AI visibility by market, source, service line, and location.
Open guideGuidesA practical location-page guide for multi-location service brands that need Google, AI search tools, and customers to understand each branch.
Open guideDataHow service brands should read AI visibility scores, benchmark them responsibly, and turn one number into location-level operating work.
Open guideWhere to start
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
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.
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.
