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Case studies

Real Growth for Location-Based Brands

Worked, illustrative scenarios that show how we plan a rollout and report results. They are fictional examples, not customer outcomes; verified customer stories will replace them.

AutomotiveListings & Reviews

How Northwind Motors Grew Direction Requests 3.2× Across 120 Dealerships

A dealer network unified listings, reviews and call attribution for every showroom and service centre.

Direction requests
3.2×
Service calls
+58%
Avg. rating
4.1→4.6
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Restaurants & QSRGeo-Grid & Posts

Fresh Crust Pizza Wins the “Pizza Near Me” Map Pack in 9 Out of 10 Cities

A QSR chain used geo-grid tracking and weekly posts to dominate local map results.

Calls & directions
+41%
Cities in top 3
9/10
Post frequency
12×
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HealthcareAI Search Visibility

Medora Clinics Doubles Appointment-Intent Actions With Accurate Profiles and AI Visibility

A clinic chain aligned doctor, department and facility profiles and tracked AI assistant recommendations.

Appointment actions
2.4×
AI mentions
+63%
Data errors
-70%
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How we measure

The Numbers Behind Every Scenario

Each scenario reports the same four outcomes, so results are comparable across brands, industries and rollout sizes.

Direction Requests

People tapping for directions are on their way to a store. It is the clearest sign that a profile and a rank are working.

Tracked per location, per week

Calls and Bookings

Call tracking and booking-link clicks tie local visibility to real enquiries, so marketing can show revenue-adjacent results.

Attributed to each profile

Rating and Response Time

Average rating, review volume and how fast every review gets a reply. All of them move how often a location is chosen.

Benchmarked against peers

AI Search Mentions

How often ChatGPT, Gemini and Perplexity recommend each location for the prompts your customers actually ask.

Prompt sets per city and category

Before and after

Where Each Scenario Started and Ended

The same three metrics from the start of each rollout and after two quarters.

Northwind Motors

Automotive · 120 dealerships

  • Review response time

    4 hours

  • Average rating

    4.6

  • Direction requests

    3.2×

Fresh Crust Pizza

Restaurants · 340 outlets

  • Cities in map-pack top 3

    9 of 10

  • Offer posts per outlet

    Weekly

  • Calls and directions

    1.41×

Medora Clinics

Healthcare · 62 clinics

  • Listing data errors

    30%

  • Booking-link clicks

    2.4×

  • AI assistant mentions

    +63%

The playbook

Which Levers Moved the Numbers

No two rollouts are the same. Each scenario switched on the features that fit its goal.

LeverNorthwindFresh CrustMedora
Listings cleanup and sync
Review replies with approval rules
Geo-grid rank tracking
Weekly local posts and offers
Structured location pages
Call tracking and attribution
AI search tracking
Try it your way

Start With a Pilot, Prove It on Your Data

You do not need a big commitment to see results like these.

01

Discovery and Audit

Run the audit on a few of your locations and see exactly what customers and search engines see today.

02

A Pilot on 10 Locations

We connect a small set of locations, fix the data and switch on reviews and rank tracking with your team.

03

Scorecard and Rollout Plan

After a few weeks you get a before-and-after scorecard and a plan to extend it to every location.

FAQ

Frequently Asked Questions

Quick answers about the scenarios and how we measure results.

Ready to Put Every Location on the Map?

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