Franchise brands
Make every franchise location recommendable on its own.
Franchise brands win when the parent brand is trusted and each location has enough local evidence to be chosen. Cheers helps teams collect reviews from appointment, front desk, service, and checkout moments, then compare profile quality and AI visibility by market.
For beauty, wellness, med spa, salon, hospitality, and local-service franchise systems where customer experience happens at the location level.
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.
Unit-level
Compare review velocity, tap activity, profile health, and visibility across franchise locations.
Staff-led
Use NFC badges, QR flows, and review links for employees who create the customer experience.
Consistent
Give corporate and operators one operating view without flattening local differences.
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
Franchise brand awareness does not automatically create strong local reviews.
A strong parent brand can still lose local recommendations when franchise profiles are incomplete, reviews are uneven, citations conflict, and frontline teams do not have a simple way to ask. Cheers gives franchise operators a shared view of reputation, location health, and AI recommendation gaps.
Create consistent review velocity across franchise locations without generic blasts.
Attribute local reputation to employees, managers, and operating units.
Find profile, citation, and review gaps that fragment the location graph.
Track whether AI assistants recommend the right location for local buying prompts.
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.
Checkout
Ask while the appointment or service experience is still fresh.
Front desk
Attribute reviews to the employees who create the first and last impression.
New location launch
Build early review velocity and local identity before competitors own the market.
Franchise scorecard
Help corporate and operators see which locations need coaching or cleanup.
Local execution
Give every operator the same reputation system.
Cheers gives owned stores, franchisees, and mixed networks the same review workflow and location scorecard.
Employee and location attribution across brands and franchisees.
Review capture flows for checkout, appointments, and service handoffs.
Location comparisons for adoption, rating, velocity, and review quality.
Location graph
Connect the parent brand to local evidence.
AI and search systems need to resolve the parent brand, local page, profile, reviews, citations, and services into one trustworthy local entity.
Profile and citation diagnostics for individual locations.
Market-level competitor and source analysis.
AI prompt tracking for brand and category recommendation moments.
Corporate visibility
See the portfolio without losing the location detail.
Corporate teams need a clean view of system health. Operators need specific actions. Cheers gives both teams the same source of truth.
Parent, brand, region, franchisee, and location reporting.
Action plans for low-review or low-visibility locations.
Proof that connects frontline behavior to local discovery.
Where to start
Start with the locations where the evidence is weakest.
Baseline location reviews, profiles, citations, competitors, and AI visibility.
Deploy NFC, QR, and review-link capture to frontline teams.
Set weekly scorecards for location operators and corporate stakeholders.
Clean up profile and citation gaps that weaken the franchise location graph.
Track AI recommendation share by market as reviews, profiles, and citations improve.
FAQ
Is Cheers only for home services?
No. Cheers is built for any multi-location service brand where local reputation creates demand and frontline teams create most of that reputation.
How does Cheers help franchise brands beyond reviews?
Cheers connects review capture to location health, profile quality, citations, competitor visibility, cited sources, and AI recommendation tracking.