Before You Spend Another Dollar on Vendor AI
If you're a car dealer, there's a pretty good chance somebody has tried to sell you an AI solution in the last 30 days.
Probably more than one.
AI websites. AI lead handling. AI sales assistants. AI search optimization. AI this. AI that.
Some of it is genuinely useful. Some of it is probably very good. And some of it sounds suspiciously like the same stuff you've been buying for 20 years with two new letters attached.
Meanwhile, you've got vehicles to sell, people to manage, expenses to control, and another month-end that seems to arrive every three weeks.
Now somebody's telling you that if you don't get your dealership ready for AI search, you're going to become invisible, or "You're leaving so much money on the table”
And naturally, they have something you can buy to prevent it.
I happen to believe AI-assisted discovery is going to change how people find businesses. I've spent a considerable amount of time studying it, testing it, and building around it.
Before you spend another dollar, I'd like you to consider something.
You might already own a good portion of what you need.
We Made Ourselves Easy to Compare
Think about what the automotive industry has accomplished over the last couple of decades.
We made inventory searchable. Pricing transparent. Market comparisons instantaneous.
Companies like vAuto and the online marketplaces helped change how vehicles are appraised, priced, merchandised, and sold.
There were good reasons for all of it. A lot of those tools made us better operators.
Something else happened along the way.
We conditioned customers to compare dealerships using a relatively small set of variables.
Year. Make. Model. Trim. Mileage. Price. Distance.
If four Ford dealers in the same market have essentially the same F-150, what does the customer compare?
Price, mostly.
Maybe availability. Maybe convenience.
And if one store has the only truck configured exactly the way the customer wants, that's a different story.
Assuming the inventory is comparable, we've spent an extraordinary amount of time and money competing on the same things.
Then look at our websites.
Everybody has the same shit
An About Us page telling you how committed they are to customer satisfaction.
Blogs explaining the benefits of regular oil changes.
Hundreds or thousands of reviews.
And everybody has a Meet Our Team page that looks like the lineup for the ten most wanted.
A headshot. A name. A job title.
Maybe a corporate email address to go with the mugshot
The part I find fascinating?
Dealers have spent fortunes optimizing the things that make them comparable. They've spent remarkably little documenting the things that make them different.
The industry has made price legible and much of its human value invisible.
And that may matter a great deal in what comes next.
Four Ford Dealers. Now What?
Let's say somebody opens an AI assistant and asks where they can buy a Ford F-150 nearby.
In tests I've conducted, authorized franchise dealerships tend to be readily identified. That's hardly surprising. They're established businesses with manufacturer relationships, recognized locations, inventory, and considerable information available about them.
I suspect those relationships and the evidence surrounding them help, although I wouldn't pretend to know exactly how every AI system weighs them.
Now suppose there are four Ford dealers in the same market.
The AI instantly finds all four.
Wonderful.
What makes one meaningfully different from the others?
If the websites contain essentially the same information, the inventory is similar, and the customer hasn't specified anything beyond wanting a Ford F-150, there's not a great deal to distinguish them.
Price and convenience remain obvious factors.
What happens when the customer asks a better question?
Which dealership has people who really understand commercial trucks?
Who has an experienced diesel service department?
Where should I go if I'm buying my first pickup and don't know much about towing?
Who has a long history of looking after local businesses?
Those questions invite a different kind of answer.
And the dealership that has made its actual experience visible may have given the system something useful to work with.
No guarantees. Different AI systems behave differently, and the results can change.
It's a reasonable proposition to test.
If the information about your people, expertise, and history isn't available, how is a discovery system supposed to use it?
Look Around Your Own Store
You might have a service manager who's been there 27 years.
Think about what that person knows.
The vehicles they've seen. The problems they've solved. The customers they've helped. The changes they've witnessed.
There's probably more practical automotive knowledge in that person's head than in a hundred generic dealership blog posts.
And what have we put on the website?
A picture of them standing against a grey background.
Service Manager.
That's it.
Maybe your dealership has been family-owned for 40 years. Maybe somebody started it with six used cars and a rented building. Maybe your parts manager knows half the independent repair shops in town. Maybe your commercial salesperson has spent 15 years helping contractors keep their businesses moving.
Every store has stories like these.
Not necessarily glamorous stories. Real ones.
And real experience is difficult to reproduce.
Two dealerships can buy the same software tomorrow. They can use the same website provider, the same CRM, the same inventory tools, and the same advertising platforms.
They cannot buy each other's history or circles of influence
Yet most dealerships have done remarkably little to make that history accessible to anyone outside the building.
Start With What You've Got
I'm not suggesting you hire a documentary crew or turn every employee into a content creator.
Start with the things already sitting in front of you.
Your story. Take another look at your About Us page. Does it actually tell anyone who you are, how you got here, what shaped the business, or why you've stayed? Or could you replace your dealership's name with any other dealer's name and leave the rest untouched?
Your people. Pick one employee. Sit down with them for half an hour. Find out what they've learned, what they're particularly good at, and what they wish customers understood. Give them a proper profile. A real photograph. Something worth reading.
Your reviews. You've probably accumulated hundreds or thousands of them. Look beyond the star ratings. What do customers repeatedly mention? Who do they name? What problems were resolved? What did you learn from the unhappy ones? Those patterns may tell you something important about what makes your business different.
And where appropriate, with privacy respected, tell the story of how you've improved.
Your photographs. Show the actual dealership. The service department. The people doing the work. The little things that make your store recognizable. You don't need another stock photo of a smiling family holding car keys.
Your knowledge. Instead of publishing another article explaining why winter tires are important, ask your best technician what customers consistently misunderstand about winter driving. There's probably a much more useful article hiding in that conversation.
Then connect these things.
An employee profile can link to an article they've contributed to. That article can link to a relevant service or inventory page. Your dealership history can connect to the people and events that shaped it.
Over time, you're creating a more complete, accessible record of the business.
There are technical considerations, of course. Site structure, indexing, structured data, and all the rest have their place.
Technical markup cannot invent experience you haven't documented.
And none of the examples above requires another monthly vendor contract.
You Can't Go Back and Start Yesterday
There's another reason I'd begin sooner rather than later.
Time.
Imagine one dealership starts documenting its people, experiences, and history this week.
Another waits three years.
Three years from now, both can purchase the same technology.
The first dealership may have accumulated three years of published material, independent mentions, customer interactions, and observable activity around that information.
The second can certainly write about its past. It can't recreate all the opportunities it missed while that information remained unavailable.
There's a difference between telling someone you've been doing something for 30 years and having a public record that helps substantiate it.
And that record takes time to develop.
I don't know exactly how AI discovery will evolve over the next three years. Nobody does.
However, I have a hard time imagining a future where making accurate, useful information about your business more accessible turns out to have been a terrible idea.
Especially when the information is already yours.
Activate Your GPS
I have a simple way of thinking about getting started with almost anything.
Activate your GPS.
Location services first. Destination second. Then go.
Before you decide what to buy, establish where you are.
Search for your dealership. Search for your people. Ask different AI systems questions a customer might ask. Compare what they can find about your business with what they can find about the other stores in your market.
Look at your website with fresh eyes.
What makes you different?
Is any of it actually visible?
Then pick somewhere to begin.
And measure what happens.
We have analytics tools that can show whether people are finding employee profiles, where visitors came from, which pages they visit next, and whether they click through to inventory, call the store, or take another action.
That won't give you a perfect calculation of the return on becoming more recognizable. Attribution has always been messy, and AI adds some new complications.
It does give you a way to observe activity, establish a baseline, and learn.
You can improve things without pretending every improvement will immediately produce another lead.
And there's nothing wrong with starting small.
One Last Thought
The automotive industry has become extraordinarily good at describing its inventory.
We've made the vehicles searchable, comparable, sortable, and surprisingly interchangeable.
What about the people who make the business work?
The experience accumulated over decades?
The relationships, judgment, and knowledge that customers have relied on long before anybody heard of an LLM?
Much of that remains invisible.
As machines become better at comparing the things we've already standardized, I suspect those human differences may become significantly more important.
Every dealership has them.
Some will begin making them visible.
Others will buy another solution and hope it does the job for them.
I'd start by looking around.
You might be surprised by what you already have.
Let's Talk About It
If any of this makes sense and you'd like to explore it further, I host “Office Hours”, a private, recorded Zoom conversation for up to eight people.
No charge. No presentation. Just an open discussion about what I’m observing, what it might mean, and what you can do with what you already have.
If you'd prefer to talk about your own business one-on-one, you can book an hour of my time for $997.
About Bob Manor
Bob Manor is an entrepreneur, writer, and founder of Influence.VIN, where he develops Recognition Engineering strategies that help established professionals, executives, and businesses make their real-world expertise discoverable, understandable, and verifiable in an AI-mediated world.
With 36 years of experience in the automotive industry, Manor has built and operated businesses spanning automotive remarketing, dealer services, technology, and media. His work draws on decades of firsthand experience with entrepreneurship, reputation, human behaviour, and the economics of trust.
He publishes Manorisms, exploring business, technology, identity, and the often-overlooked connections between them.
Disclaimer:
These are my own observations and interpretations, based on lived experience inside this industry.
This is not financial, legal, or professional advice ... it is pattern recognition, shared for awareness and strategic consideration only




Responses