Case Studies
Proof that wins local demand.
These stories show the source-backed work behind local visibility: reviews, cards, attribution, prompt tracking, website readiness, and enough detail for a serious buyer to trust the numbers.
Featured case study
Proof window: February 3, 2025 through June 4, 2026
Hello Sugar grew from 28,846 to 53,578 Google reviews across 242 salons
Hello Sugar runs Brazilian wax and sugaring salons in 242 markets. Here is how the brand keeps every one of them visible on Google and in AI answers.
242
Active local salons
53,578
Active Google reviews
274,829
AI visibility checks
Each case study shows the observed date, source, and window for every metric.
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Proof window: September 18, 2024 through June 4, 2026
Sierra went from 2,503 to 7,088 Google reviews at a 4.9 rating
A Las Vegas HVAC and plumbing company with proof anyone can check: open Google, search Sierra Air Conditioning & Plumbing, and count.
7,088
Active Google reviews
+4,585
Google review growth
3,720
AI visibility checks
Each case study shows the observed date, source, and window for every metric.
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Proof window: September 23, 2025 through June 4, 2026
How Elite Rooter watches 12 plumbing markets at once
Drain emergencies are won market by market. Elite Rooter tracks reviews, employee cards, and AI answers for all 12 of its markets in one place.
12
Active local markets
11,546
Active Google reviews
16,435
AI visibility checks
Each case study shows the observed date, source, and window for every metric.
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Proof window: November 19, 2025 through June 4, 2026
How Action Furnace ties reviews to the techs who earn them
An HVAC company with 13,335 Google reviews, 240 employee cards in the field, and attribution data a manager can coach from.
13,335
Active Google reviews
240
Active employee cards
7,305
AI visibility checks
Each case study shows the observed date, source, and window for every metric.
Read case studyRelated playbooks
Turn proof into repeatable operations.
These guides explain the review, attribution, franchise, and home-services work behind the public case studies.
Reviews That Move AI Rankings: What Actually Matters
AI systems weigh reviews differently than Google's algorithm. Here's what the data shows about which review signals actually drive AI recommendations.
Open guideBest PracticesReview Collection at Point of Service: A Playbook
The businesses with the best review velocity aren't lucky. They've built review collection into their service process. Here's how.
Open guideDataHow Home Services Brands Get Recommended by AI
How HVAC, plumbing, roofing, pest control, and restoration brands can make each location easier for AI systems to trust and recommend.
Open guideOperationsHow Franchise Brands Get Recommended by ChatGPT
How franchise brands can get recommended by ChatGPT by cleaning up local pages, profiles, reviews, citations, and frontline proof.
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