Shaheen Chevrolet reviews Lansing
They already know your price. They are asking an AI which store to buy it from.
Same truck, six rooftops, same money. The only question left is you.
What they actually ask
The questions people in your market put to an assistant. We probe these weekly once your site is live; today they are here to show you the shape of the search, not a score.
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Why a dealership is exposed
Yours is the one trade where the customer walks in knowing more about the product than the person selling it. They have configured the same trim at six rooftops inside a two-hour drive and they know the price at each, to the dollar. The vehicle is not the variable. You are.
Which means the entire decision — the one that determines whether you see around $3,600 of gross or nothing at all — is made before anybody sets foot on your lot, on the strength of what people say about how your store treats them. That conversation used to happen on forums you could at least read. Now it happens inside an assistant, in private, and you are not in the room.
What we build for a dealership
Typed as AutoDealer — not a generic LocalBusiness stub.
A domain that is yours
The site carries your reviews as a structured record rather than as decoration, and the domain stays yours.
Schema typed to what you are
AutoDealer — not a generic LocalBusiness stub that tells a model nothing.
Every review read and scored
Services named, recurring themes named, people named, sentiment scored per aspect.
A live endpoint for the models
An MCP endpoint and an ai-plugin manifest, so a model can query your record directly instead of guessing from a directory.
Submitted to the indexes
On a schedule, to every index that will accept a submission.
Probed weekly, reported to you
Against Claude, ChatGPT and Gemini — including the questions you are not winning yet.
What we structure
Services and the themes customers judge you on, pulled out of the reviews and labelled so a model can query them.
What we can show you today
Measured across the sites we already run — not this trade specifically, and we are not going to imply otherwise. Asked about a business by name, this is what the three major models did on 3 August 2026.
Open discovery questions are a different job and a harder one. Your weekly report shows you exactly where yours stand, including where they don't yet.
The math for a dealership
$3,609
Total gross on one new unit — $1,840 front-end plus $1,769 F&I; used front-end averages $1,409. Typically $1,409–$3,609.
Presidio-NCM Average Dealership Performance Benchmark, Q2 2026
$49.99/month
No setup fee. Cancel anytime.
What car dealerships ask us
The manufacturer runs our marketing.
OEM marketing sells the model. It does not tell an assistant why a buyer should choose your rooftop over the identical unit forty minutes away, which is the only question left.
We have thousands of reviews already.
Which is an advantage almost no other trade has, and it is currently sitting in a form a model can only skim. Volume is the raw material; structure is what makes it usable.
What about our service department?
Service is where most of the reviews come from and where the repeat relationship lives. It is labelled as its own service so it is findable on its own.
We already pay for a reputation platform.
Those collect and display reviews for humans. This publishes them in a form machines can query. Different job.
What happens if I stop?
Try it for 14 days. If it isn't what we said, we refund your first month in full and take the site down.
Start where AI starts
Try it for 14 days. If it isn't what we said, we refund your first month in full and take the site down.