Get named when a shopper asks an assistant.
Shoppers are asking ChatGPT and Google's AI which dealership to use. Those answers come from what the assistants can read about you — and most stores are invisible or misrepresented. This is the work that changes the answer.
Get your baseline checkReal prompts, real answers about your store.
Try one yourself with your city in place of the placeholder. Whatever comes back is what your next shopper is reading.
Three things decide whether you get named.
Be findable
Clean structured data, complete Google Business Profile, consistent details everywhere. If the basic facts conflict, assistants hedge or skip you.
Be quotable
Short, direct answers on your own pages — the kind an assistant can lift a sentence from. Marketing fluff never gets quoted.
Be trusted
Volume and recency of good reviews, real staff pages, real photos, plus mentions on local sites the assistants already trust.
What I actually do.
Baseline check
I run a set of real shopper prompts across the major assistants and record exactly what they say about your store today.
Structured data fixes
Dealer, department, service and vehicle markup so machines read your site the way a person would.
Answer pages
A batch of plain-language pages covering the questions shoppers actually ask in your market.
Profile and citation cleanup
Consistent details across Google, directories and local listings so nothing contradicts.
Review engine
A steady request process plus response coaching, because sentiment feeds directly into AI answers.
Quarterly re-check
Same prompts, re-run, so you can see movement instead of taking my word for it.
Find out what they say about you today.
Baseline check across the major assistants, written up plainly, with the fixes ranked by what moves the answer fastest.