Q

Conference & Expo: September 22-23, 2026
DealerPoint: April 5-7, 2027

Q

How Auto Dealers Can Keep Their Advertising Fresh in the AI Era

Published: June 30, 2026

There was a time when a well-produced TV ad gave a dealer a real edge. Getting something that looked and sounded polished took budget, coordination, and some patience. Most dealers couldn’t produce at scale. Those that could, stood out.

That window has largely closed. Major ad platforms have spent the last two years building AI tools that generate and optimize creative directly inside their systems. Video, social, and display are now producible in minutes, and at a quality level that would have required a production team not long ago. According to the Interactive Advertising Bureau (IAB), 83% of ad executives report their companies have now deployed AI in the creative process, up from 60% the prior year, and 86% of media buyers are currently using or planning to use generative AI to build video ad creative.

For auto dealers, the barrier to producing an ad has essentially disappeared. That is genuinely good news. It is also the beginning of a new challenge.

When Everyone Has the Same Toolkit

Efficiency at scale tends to produce consistency. When dealers across a market are drawing from the same AI-powered creative tools, optimized toward the same performance signals, the output starts to look alike. Slick, clean, and similar. An ad that could belong to any dealership in any city.

dd-nl-cta-image

These tools do what they’re designed to do: reduce friction and produce content that performs. What they don’t do is create distinction, and they’re not built to. Performance-optimized creative reaches someone who is already searching, comparing, and close to a decision. It wins the click. What it doesn’t do is occupy space in a buyer’s mind before they reach that point.

For many buyers, they don’t begin the purchase process by running a search. They begin by forming impressions. From ads they saw while watching a show, from a name they’ve heard enough times to trust, from a dealer they associate with something local and specific. By the time they’re ready to buy, a lot of the preference has already been set.

Brand recall is harder to track than a cost-per-lead figure, and it would be dishonest to pretend otherwise. There’s no dashboard that tells you exactly when an ad someone saw last month influenced a purchase this month. But the dealers who build name recognition over time are the ones customers reach out to before they’ve even started comparison shopping. That’s a different kind of return, and it compounds.

Staying Fresh in Practice

So, what does a regional dealer actually do with this?

Keep the Automation, and Add Something to it

The AI-driven performance layer is worth running. It handles targeting and ad optimization far more efficiently than most teams could manually. Those tools, though, need inputs, and when those inputs are generic, so are the results.

Think about what makes your dealership distinct. The vehicles on the lot right now, at the prices you’re running today. The staff customers have dealt with before. An offer tied to a real date and a real inventory situation, not a standing promotion that’s been live for eight months.

That material already exists. The automation just needs somewhere real to point.

Reach Buyers Before They’re In-Market

Connected TV, streaming audio, and video broadly are channels where buyers spend time when they’re not actively shopping. That’s where preferences form. Running creative in those spaces puts a dealer’s name in front of people who aren’t comparing anyone yet.

The way to think about it: performance media converts existing demand; brand media creates future demand. A dealer running both is playing a longer game, and in a market where competitors are all optimizing toward the same intent signals, that longer game becomes a real differentiator over time.

Show Up as Someone from Here

There’s a version of local advertising that mentions the city name and calls it community connection. Buyers see through it quickly. What actually registers is when a dealer demonstrates they know the market, not in a tagline, but in the substance of what they’re saying.

That might mean acknowledging what’s happening with trade-in values in the region right now, referencing a local event, or speaking to something specific about the community the dealership is part of. The test is simple: could this ad be lifted and dropped into a campaign for a dealer two states over? If yes, it probably isn’t doing the brand-building work it could be.

Don’t Set and Forget the Creative

Because AI tools make content generation fast, it can be tempting to let campaigns run long past the point where the creative is still doing anything. An audience that has seen the same ad many times stops seeing it at all, and in a market where every dealer is generating similar content efficiently, fatigue sets in faster than it used to.

Try rotating creative every six to eight weeks, and when you do, track what changes downstream. Call volume, site visits, and showroom traffic in the weeks following a creative refresh can tell you a lot about how an ad is performing. Also, fresh creative doesn’t call for reinventing the wheel. Test different angles, talking points, and offers, finding what connects with people in subtle ways.

What This Moment Asks

AI creative tools will only get faster, cheaper, and more capable. Every dealer in every market will have them, and the output will keep improving.

What doesn’t scale automatically is recognition. A buyer who already knows a dealership’s name, trusts it, and associates it with something specific doesn’t need to be convinced the same way a cold prospect does. That familiarity is built over time, through advertising that says something genuine, and it’s about the only part of this that competitors can’t replicate overnight.

Related Stories:

David Naffis is the founder and CEO of Adwave. A serial ad tech entrepreneur, David previously co-founded VideoByte (acquired by Kargo, 2023) and Remixd (sold to Global UK/DAX US). In 2014, he served as a Presidential Innovation Fellow applying AI to National Archives documents. He founded Adwave to bring TV’s credibility advantage to Main Street businesses that couldn’t previously afford it.