Featured case study · September 2026
Six dealerships. Every one ahead of its strongest rival.
When a buyer asks an AI engine where to shop, Karl Malone is the name it gives back. More often than any dealer they compete with.
Karl Malone Automotive · Six dealerships across Utah
A buyer asking AI where to shop hears a Karl Malone store nearly twice as often as the next dealer in town.
AI is not listing them among options. More than half the time, it is telling the buyer to go there.
In more than half of the conversations where a sale starts, they are in the room.
Every time AI brought them up, it sent the buyer toward them, not away.
Against the competition
Ahead in every market.
A rival being named more often means losing buyers before they ever search for you. Here, that is not happening at any store.
AI answers naming each business, latest scan. The rival is whichever competitor AI named most in that store's market.
Engine by engine
On every engine buyers use.
Your customers do not all use the same AI. Winning on one and missing on another still loses buyers, so every engine is measured on its own.
Share of each engine's answers that name a Karl Malone store. Six stores, latest scan.
Before and after
And it moved fast.
At the Ford store, on the exact same questions asked eight weeks apart, the share of AI answers naming the store went from 70% to 90%, and the answers naming it first went from 40 to 247.
Karl Malone Ford. Share of answers naming the store, identical questions on both dates. Engines without a June baseline are left out rather than drawn from zero.
The readers
AI came to read about them.
An AI engine can only recommend a business it knows. These are the engines themselves arriving to learn about the stores, month by month.
Visits from AI crawlers to what we built for the six stores. Server logs.
