HVAC
Cheers helps HVAC teams earn customer reviews and get found for repairs, replacements, and maintenance. We connect reviews to your technicians and branches, track your markets, and handle the local search work you need.
For established HVAC companies, regional operators, and multi-brand groups.
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.
Technician reviews
Cheers captures fresh technician trust and shows which people, branches, and regions are creating review momentum.
AI visibility
Cheers checks AI answers by HVAC location, showing where a branch is recommended, skipped, or beaten by a competitor.
Roll-up operations
Cheers helps new locations bring profiles, review links, badges, and local proof into one system after acquisition.
Customer story / Sierra Air Conditioning & Plumbing
See how Sierra grew its Google reviews while tracking its local visibility.
Read the customer story+5,301
Google review growth
5,301 Google-ID-backed reviews on Sierra’s connected profile date to the period since it joined Cheers.
Observed 2026-09-07. September 18, 2024–September 7, 2026.
Source: Connected Google profile snapshots and Cheers records.
Your team already has a natural moment to ask for a review. Build the request into that handoff, then follow the activity by employee and location.
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.
Start with the services and markets you want to grow. We agree on review capture, profile work, local content, and your team's role before starting.
Talk through your prioritiesMap 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.
Questions about hvac, the work involved, and how Cheers fits your team.
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.
We'll look at where you show up today and the work worth doing next.
