One Playbook.
Every Rooftop.
Deploy the full agent team across the group with centralized control and store-level rules layered on. Then run the group the way the best operators do: compare every rooftop live, replicate what's winning, and hand each GM a scorecard that names the leaks.
Two Jobs. One Screen.
A brand program and a twenty-store group need the same machinery (standardization, visibility, replication) pointed at different goals.
Protect the brand at every rooftop
- Program-grade consistency: the same approved AI experience at every participating dealer, with compliance guardrails baked in
- Network-wide reporting: adoption, response times, and engagement across the program, not anecdotes from field reps
- Model-launch muscle: one campaign, every dealer's owner base, executed identically the same morning
Run twenty stores like your best one
- Live comparison: every rooftop on one screen; the sliding store surfaces before month-end, not in it
- Playbook replication: the winning store's sequences pushed group-wide in clicks, not quarters
- Coaching with receipts: each GM gets a scorecard naming the leaks, the reps, and the 30-day plan
Everything a Store Gets.
Plus the Group View.
Run Twenty Stores
Before Lunch
Every rooftop on one screen. Store 7 is trending +20% on AI messages; store 12 is sliding −4.5% on leads. Both spotted before the coffee's done.
Store 3's credit-app sequence is pulling the highest engagement in the group. Its instructions and frequencies get pushed to the other nine rooftops, before lunch, not next quarter.
The enterprise NPS view shows one store's review flow going stale. New invite verbiage and a different send frequency. Problem found and fixed in one view.
Each GM's scorecard lands: the leaks in plain language, the 65%-vs-0% task-completion reps named, and a "Your Next 30 Days" plan pre-written for their manager meeting.
The model-launch text goes to every store's prior-generation inquirers at once: same play, every market, executed identically.
Pilot. Prove. Replicate.
Groups don’t switch twenty stores on faith. The typical arc: one rooftop proves it, the playbook gets mined, and the rest of the group inherits what already works.
One store goes live
- Agents live on real leads and phones
- DMS history ingested, triggers armed
- Baselines captured for the comparison
Mine the playbook
- Best-performing sequences identified
- Scorecard shows the leaks it closed
- Pilot store becomes the internal case study
The group inherits it
- Winning instructions pushed store by store
- Enterprise dashboard compares all rooftops live
- Store-level rules layered on top
HQ Sets the Standard.
Stores Keep Their Voice.
The failure mode of group software is flattening every store into the same robot. The split that works:
The group standardizes
Each store keeps
No Store Has to
Change Its Tools
Groups are never on one DMS or one CRM. Matador plugs into each store's existing stack, so the rollout meets every rooftop where it already is.
Your Brand May Already
Help Pay for Matador
Stellantis, Nissan, Honda, Acura, and BMW run certified and co-op programs that cover Matador AI for eligible dealerships. Pick your brand and enroll in a couple of clicks.
Straight Answers
Is this built for an OEM program or for a dealer group?
Can we standardize centrally and still let stores differ?
How do we replicate what our best store is doing?
What visibility does the group actually get?
What does an individual GM get out of it?
How much of the industry is already running this?
Find Your Best Store.
Clone Its Playbook.
On the demo, we'll stand up the enterprise view on sample group data: the comparison screen, the replication flow, and the scorecards your GMs would get.