Recommended
Top emergency match
Summit Air & Heat
North Phoenix Branch
HVAC
Turn technician visits into attributed reviews and market-level visibility, so each branch shows up when homeowners need repair, maintenance, or replacement.
For HVAC roll-ups, franchise groups, and regional operators with distributed branches, field teams, and seasonal demand pressure.
Trusted by



ChatGPT
Recommended
Top emergency match
North Phoenix Branch
Customer Stories
Action Furnace runs 240 employee cards against 13,335 Google reviews, with 1,047 reviews traceable to a specific card.
Read Action FurnaceActive employee cards
240
240 cards are active in the field, with 2,474 taps recorded.
Observed 2026-06-03
Product 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.
Let customers leave a review from a tap, scan, or direct link right after the service moment.
Tie each interaction back to the employee and location that earned it.
See which markets are gaining trust and which locations need attention.
Track when each location gets recommended, cited, or skipped across AI search.
The gap
A great technician can save the job, calm the homeowner, and earn a referral. If that moment never becomes a recent Google review, a complete business profile, or a page AI tools can cite, the next buyer still sees a weak local footprint.
Reviews keep coming, even when demand swings.
Every review shows who earned the trust.
Weak profiles and competitor gaps show up early.
AI answers reveal which branches are gaining ground.
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.
Capture feedback while the relief is fresh and the homeowner knows who solved the problem.
Ask for a detailed review after the homeowner has seen the finished install.
Build review velocity outside peak replacement and emergency seasons.
Attribute reputation to the consultative sales moments that shape trust before the install.
Technician reviews
Cheers captures fresh technician trust and shows which people, branches, and regions are creating review momentum.
Mike explained everything and had our AC back on same day.
credited to: Mike R. · TucsonEmployee leaderboard
This week · Tucson branch
AI visibility
Cheers checks AI answers by HVAC location, showing where a branch is recommended, skipped, or beaten by a competitor.
Location AI visibility
4 branches · urgent and replacement prompts
Roll-up operations
Cheers helps new locations bring profiles, review links, badges, and local proof into one system after acquisition.
Sunbelt HVAC · integration status
Parent-brand hierarchy
Sunbelt HVAC Group
Canyon Air - Southwest
Tucson
acquired 2024
Mesa
listings incomplete
Phoenix
review link outdated
TrueClimate - Texas
Austin
brand mismatch
Dallas
active
Home Systems - FL
Tampa
active
Orlando
NAP review
Where to start
Map branches, profiles, reviews, citations, and prompts.
Launch technician-attributed review capture.
Review branch and employee adoption weekly.
Fix profile, citation, and local page gaps.
Monitor AI recommendations as proof improves.
FAQ
The questions teams ask when they are comparing review generation, local SEO, and AI visibility as one operating system.
AI recommendations are shaped by a mix of public evidence and third-party sources, including review velocity by location, Google Business Profile completeness, citation coverage, and whether location and service pages give AI systems something specific to cite. Cheers tracks recommendation share by market across those assistants and maps it back to the sources shaping the answer, so teams can target the work that actually moves the needle.
Local SEO optimizes for Google's local pack, map results, and organic visibility. GEO, or generative engine optimization, works on top of that by measuring whether a homeowner sees your brand cited or recommended when they ask an AI assistant who they should hire.
Google reviews still carry heavy weight because they are one of the most visible sources for local service queries, but directories like BBB, Yelp, and Angi, local mentions, and complete business profiles can also shape the answer set. Cheers identifies which sources are influencing each market so your team can target the most important fixes first.
Those tools usually focus on review request volume and reputation dashboards. Cheers connects that reputation layer to AI visibility for multi-location businesses, showing whether the reviews you collect are shifting recommendation share in ChatGPT and Google's AI experiences, and which technicians, branches, and markets are driving the change.
No. Cheers works alongside ServiceTitan, Housecall Pro, and other field service systems, with NFC badges and QR flows that plug into the technician workflow you already use. Cheers adds attribution, visibility, and AI recommendation tracking on top.
Yes. Cheers supports parent, brand, region, and location hierarchy reporting, tracks review and profile health across mixed brand names, and gives integration teams a checklist for cleaning up inherited listings after acquisitions.
Profile and schema fixes can start showing up in AI-cited sources within a few weeks, while review-driven improvements usually track with review velocity and become clearer over 60-90 days. Cheers monitors both so teams can tie specific fixes to specific recommendation-share changes instead of guessing.
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.
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.