

Reach shoppers where they now ask which car to buy.
which car to buy
Vehicle research has moved into conversation: which SUV fits three car seats, is this trim worth the jump, what should this trade be worth. We run advertising inside ChatGPT for dealerships — placement, offers and measurement — alongside the content work that decides whether your store gets mentioned at all, planned with our ChatGPT ads and answer engine teams.
Tell us a little about your brand and we'll be in touch within 24 hours to lock in a time.

FOUR WORKSTREAMS
Four workstreams behind a dealership presence inside AI answers.
inside AI answers
A new surface needs the same discipline as an old one: understand the buyer, buy the placement carefully, make the store findable, and measure it against sold units.
Conversational demand
Ad buying & offers
Answer visibility
Measurement
Learn how real shoppers actually phrase the question.
Almost nobody types ‘SUV dealer near me’ into an assistant. They describe a life: two kids and a dog, a 40-minute commute, a lease ending in March. We map the conversations that precede a sale in your market, by segment and model, and turn them into the marketing message and offer set the ads will need.
The audience is already there. ChatGPT has passed one billion weekly active users, with about 20% showing commercial intent, and 82% of surveyed car shoppers say they are at least somewhat familiar with AI tools.
- Shopper conversations mapped by segment and model
- Trade-in, finance and aftersales topics included
- Local competitors' answers checked, not assumed
- Message and offer set written from what shoppers ask
1bn+
weekly ChatGPT users (eMarketer, 2026)
20%
of them showing commercial intent
Buy the placement carefully while the format is young.
OpenAI's advertising products are new, the inventory behaves differently from a search auction, and the honest position is that budgets should be deliberate rather than heroic. We set up the account properly, keep spend tied to a test plan with clear stop conditions, and write offers that read as helpful inside a conversation rather than as a banner.
The market is moving quickly — OpenAI's ad business is approaching a $1 billion run rate — so early, well-measured spend buys learning that will be expensive to acquire later.
- Account, billing and brand safety configured correctly
- A written test plan with budgets and stop conditions
- Offers phrased for a conversation, not a billboard
- Weekly read while the format keeps changing
$1bn
approximate OpenAI ad run rate (eMarketer)
Be the store the assistant already knows about.
Paid placement works far better when the assistant can also find you organically. That means accurate inventory feeds, consistent listing details, real reviews, aftersales and finance pages written in plain language, and the structured data these systems read — the same groundwork that decides whether your store is named in an unpaid answer.
It is already sending traffic: Fullpath's Auto Intelligence Index found AI-driven referral traffic for car sales growing more than 15x year over year.
- Inventory feed and listing details audited for accuracy
- Structured markup on vehicles, aftersales and hours
- Finance, trade-in and warranty answers published on site
- Monthly check of how assistants describe your store
15x
year-over-year growth in AI referral traffic (Fullpath)
Judge it on appointments and sold units.
New surfaces attract vanity reporting, so we wire this one into the same plumbing as everything else: tagged links, call tracking, form and chat attribution, and a monthly review of cost per appointment rather than on impressions inside a chat window.
Context helps size the bet. Cox Automotive found 19% of all buyers, and a quarter of new-vehicle shoppers, using AI websites or AI overviews during their purchase — large enough to matter, small enough that this belongs beside your core advertising rather than replacing it.
- Tagged links, call tracking and form attribution
- Cost per lead and per appointment, not chat impressions
- Incrementality sense-checked against your other channels
- A plain monthly note on whether to continue
19%
of buyers used AI tools while shopping (Cox)
25%
of new-vehicle buyers did the same
Advertising accounts, feeds and tracking stay in your name
A written verdict on whether the spend earned its place
Working session with the people running the campaigns
Long-term lock-ins
We made the difference for those brands
01 — The challenge
Shoppers are asking an assistant, and it never mentions you.
A shopper describes their budget and their driveway, gets three suggestions and two store names, and none of them are yours. Nothing in the monthly report explains it, because the report only counts the channels you already buy.
“My own staff shop this way. We are invisible in it.”
The behaviour is measurable now. AI-driven referral traffic for car sales grew more than 15x year over year, and 19% of all buyers used AI tools during their purchase. Being described accurately by an assistant, and buying placement where it is available, is a small budget with a long shelf life.
02 — Our approach
Map the questions, buy carefully, fix the data, measure in appointments.
We start by mapping how buyers in your market actually phrase things — by segment, by model, by the trade-in and finance worries that arrive before anyone picks a store — and we check what assistants currently say about your dealership and your competitors. Then the paid work: the account set up properly, a written test plan with budgets and stop conditions, and offers phrased to be useful inside a conversation instead of shouted at it. In parallel we fix the groundwork that decides whether you are mentioned without paying: accurate inventory data, consistent business details, structured data, and plain-language pages answering the service, warranty and financing questions shoppers ask. Everything is tagged and traced into the same reporting as your other advertising, so the monthly conversation is about cost per appointment and sold units. Accounts and data stay in your name.
03 — What we did
Four weeks to a measured pilot, then a monthly decision.
Research, setup, groundwork and measurement — in sequence, with a written note each month on whether the spend earned its place.
Week 1 / Research
What shoppers ask, and what the assistant replies
Shopper enquiries mapped by segment and model, with a record of how assistants currently describe your store and your rivals.

Week 2 / Setup
Account, offers and a written test plan
Billing, brand safety and tracking configured, with budgets and stop conditions agreed before a single dollar runs.

Week 3 / Groundwork
Inventory, structured data and plain answers
Feed accuracy, listing details, schema and the finance, trade-in and service pages assistants read when they name a store.

Week 4 onward / Measurement
Appointments, not impressions
Tagged links, call tracking and a monthly review of cost per appointment with a plain recommendation to scale, hold or stop.

WHAT YOU GET
Deliverables your store can pick up and run.
pick up and run
Everything below is delivered in accounts and files that stay yours if you ever leave.
Shopper question map
How shoppers in your market phrase vehicle, finance and trade-in enquiries, by segment and model.
Assistant visibility audit
What assistants say about your store today against the competitors they name instead, recorded and repeated monthly.
Campaign setup and offers
Account, brand safety and tracking configured, with offers written to work inside a conversation.
Inventory and feed fixes
Feed accuracy, listing details and structured markup corrected so your vehicles can be described properly.
Plain-language answer pages
Warranty, trade-in and financing points answered on your own site in language a model can quote.
Appointment-level reporting
Tagged links, call tracking and a monthly review of cost per booked appointment with a clear recommendation.
HOW WE WORK
Operating standards, not promises.
Operating standards

Franchise stores
Work that fits manufacturer rules while making your rooftop the one named locally.
ExploreIndependent and used lots
Accurate inventory data so a described vehicle is one you actually have on the lot.
ExploreBuilt on trust. Proven by results.
We partner with SMBs and Fortune 500 companies to deliver more than reach — we bring clarity, execution, and measurable outcomes. Every successful partnership starts with a strong culture fit and a shared drive to grow.








CASE STUDIES
Case studies
Video Ads
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FAQ
What dealer principals ask us first.
Is advertising inside ChatGPT actually available to dealerships yet?
Availability is expanding market by market and the product is young, so the honest answer changes by the quarter — which is exactly why we treat it as a measured pilot with a written stop condition rather than a channel migration. What is not in doubt is the audience: ChatGPT now passes one billion weekly users with around 20% showing commercial intent, and OpenAI's ad business is nearing a $1 billion run rate. We tell you plainly what is live in your market before you commit a dollar.
How much budget should a store put behind this?
Enough to learn, not enough to hurt. For most single rooftops that means a small monthly test budget carved out of an underperforming line rather than new money, run for a defined period against a target cost per appointment. If it clears the bar we scale deliberately; if it does not, we stop and say so in the monthly note. Anyone promising a dealership transformative results on a five-month-old advertising product is guessing.
Will this cannibalise our search advertising?
We watch for it rather than assume either way. Some assistant conversations replace a search that would have happened anyway, and some reach shoppers far earlier, when they are still deciding between segments rather than stores. That is why the pilot is judged against blended cost per appointment across channels, with our paid search team in the same review. If the new spend is only moving existing demand around, the report will say so.
What makes an assistant recommend one dealership over another?
Consistency and substance. These systems assemble an answer from your website, your inventory data, business listings, reviews and third-party coverage, so a store with accurate hours, honest pricing detail, useful aftersales information and a strong review profile is far easier to describe than one hiding behind a form. That groundwork also pays where the traffic is already growing — AI-driven referral traffic for car sales rose more than 15x year over year — and unlike ad spend it does not stop when the budget does.
Do we need to write prompts, or buy a prompt pack?
No. The useful work is not a folder of clever prompts; it is understanding the questions your buyers ask in their own words and making sure your store answers them well in public. We do use prompt research as a research method — running the conversations a real shopper would have and recording what comes back — and we will happily hand your team the ones worth reusing internally for listing copy or service replies. That is a by-product, not the service.
How do you measure something that happens inside a chat?
With the same plumbing as every other channel: tagged destination links, call tracking on the numbers involved, form and chat attribution on your site, and a self-reported question on the lead form that catches what tracking misses. Then the monthly review covers cost per lead and cost per booked appointment, compared against the channels you already run. Impressions inside a chat window are not a result and we will not report them as one.
Is our inventory feed good enough for this?
Usually it needs work, and that is the cheapest part of the project. Common problems are stale units, missing trim and drivetrain detail, inconsistent pricing between the feed and the website, and business details that differ across listings. All of it makes a store harder to describe accurately and some of it creates a bad first impression when a shopper checks. We audit the feed and the listings first, then fix what matters before any advertising budget is committed.
What about our service department?
Aftersales queries are some of the most common conversational searches a dealership can win — warranty coverage, maintenance intervals, whether a recall applies, how long a job takes. Answering them properly on your own site in plain language is inexpensive, it makes the store quotable, and it fills bays that are usually ignored by marketing. We include aftersales content in the groundwork rather than treating this as a new-vehicle project.
How does this fit with our other marketing?
It sits beside it, sized to the behaviour. Cox Automotive puts AI tool usage at 19% of all buyers and 25% of new-vehicle buyers and 82% of shoppers say they are at least somewhat familiar with AI tools, which is a real slice of the market and still a minority of it. So the plan keeps your core search, social and local presence funded, and adds this as a small early position rather than a bet.
What does it cost to have you run it?
A fixed monthly fee for the pilot, quoted separately from media spend, and smaller than a full paid media retainer because the scope is deliberately narrow. Dealer groups can run one pilot and read the result across rooftops before anybody commits. If the honest recommendation after ninety days is to pause the advertising and keep only the visibility groundwork, we will make it — that groundwork keeps working whether or not the ad product matures.


























































































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