Brace yourselves…
This is going to be a long one, but we’ve got to start somewhere.

Google is pushing AI Max for Search campaigns hard right now. If you work directly with a Google Ads representative, there is a good chance you have heard about it. Your vendor may already be testing it. If you manage paid search in-house, you may have seen the recommendation sitting inside Google Ads and wondered whether turning it on will improve your results.

The short answer is: It can.

The more important answer is: AI Max can enhance your Search campaigns’ ability to capture opportunities, but only if you know how to steer it in the right direction.

Without that direction, AI Max can broaden your campaigns into places where you may not actually get a return on investment. It can increase impressions and clicks without increasing sales opportunities. It can send shoppers to the wrong pages, match ads to informational searches, or generate copy that does not fit the vehicle, dealership, or compliance requirements involved.

In other words, a lot of this sounds good on paper, and some of it could be great. But dealers need to understand what AI Max actually does, where its value lies, and where it can go off the rails.

The automotive findings and recommendations in this article reflect Wikimotive Internal Paid Search Testing as of September 2026. Google product information is identified and linked separately.

What Is Google AI Max for Search Campaigns?

AI Max is not a new campaign type. It is a group of AI-powered settings that can be turned on within eligible Google Search campaigns.

Google announced AI Max on May 6, 2025, with its open beta rollout beginning later that month. By September 2025, Google said it was available globally in beta. In April 2026, Google announced that AI Max was moving out of beta and that, beginning in September, campaigns using certain legacy features (including Dynamic Search Ads, automatically created assets, and the campaign-level broad match setting) would begin upgrading to AI Max. In August 2026, Google also announced new testing and planning tools intended to help advertisers evaluate and scale AI Max performance. (Google, May 2025; Google, September 2025; Google, April 2026; Google, August 2026)

As of September 2026, the major components dealers should understand are:

• Search term matching
• Text customization
• Final URL expansion
• Additional controls, reporting, and experimentation tools

Google positions these features as a way to expand reach, tailor ads to user intent, and find relevant searches beyond the keywords an advertiser has already identified. According to Google, AI Max uses information from existing keywords, ad creative, and landing pages to understand the business and identify additional opportunities. (Google Ads Help)

That is the intended benefit. The question for a dealership is whether the “additional opportunities” are actually opportunities to sell cars.

Search Term Matching: More Reach Is Not Automatically Better Reach

In a traditional Search campaign, advertisers select target keywords and decide how closely a person’s search must match those keywords. Exact match provides the tightest control. Phrase match allows a somewhat broader set of related searches. Broad match gives Google significantly more latitude.

At Wikimotive, we generally avoid broad match because it is less controllable. If you target a broad phrase related to Toyota dealers, for example, Google may connect it to searches about Toyota recalls, national Toyota news, legal issues, or other subjects that include the brand without indicating any intent to buy a vehicle.

AI Max search term matching is designed to perform that expansion more intelligently. Rather than relying solely on a conventional broad-match interpretation, Google can use an advertiser’s keywords, assets, and landing pages to identify longer and more conversational searches.

If somebody searches “Toyota dealer near me,” that is a relatively short query. If somebody searches “I’m looking for the best Toyota dealer near me,” that is longer and more conversational. That is the type of additional opportunity Google is trying to capture.

There is legitimate value there. It can be difficult to anticipate every permutation of every relevant search a potential customer may enter.

There is also a big caveat.

Google’s broader talking point is that people are increasingly using longer, more conversational searches. But that observation applies across its entire platform. It is not specific to automotive, and it is not specific to people who are low-funnel and ready to buy.

In our experience, people tend to use longer queries more heavily during the research phase. When somebody is actually looking to buy a Tacoma, the query may still be as simple as “Tacoma for sale near me.” Then they are in. They will generally see the familiar paid and organic search results that have driven automotive shopping activity for years.

Once AI Max begins broadening a campaign, it can also reach searches about towing capacity, check-engine-light diagnostics, replacement parts, or other research topics. Somebody looking for a truck’s towing capacity may be considering that model, but they may also already own it and want to know whether it can pull a trailer.

That is not the same sales opportunity.

The biggest risk with AI Max search term matching is not that it fails to generate activity. It is that the additional activity comes from mid- or high-funnel researchers who are not ready to buy.

Negative Keywords and Search-Term Monitoring Are Essential

A robust, well-researched negative keyword list is one of the most important guardrails for an AI Max campaign.

Negative keywords tell Google which searches should not trigger an ad. They help prevent a dealership’s campaign from expanding into informational, irrelevant, or otherwise low-value territory.

But establishing the list at launch is not enough.

You also have to monitor the campaign on an ongoing basis. That means looking beyond the target keywords and their top-level metrics. You need to examine the actual search terms being matched to those keywords through AI Max and determine whether they remain relevant to the campaign.

Google now provides AI Max-specific reporting that can show expanded matches, selected landing pages, generated text assets, and the source of matched search terms. That reporting makes closer oversight possible… but somebody still has to use it. (Google Ads Help)

AI Max is constantly looking to broaden the scope of the campaign. Google’s stated goal is to put advertisers in front of more opportunity. The risk is that you are not gaining more low-funnel opportunity; you are simply moving farther up the funnel, where people are less likely to become leads or sales.

Text Customization: Potentially Valuable, Never “Set It and Forget It”

Text customization allows Google to generate or adapt headlines and descriptions based on the user’s search, existing ads, keywords, assets, and landing-page content.
The easiest way to understand the accompanying text guidelines is to think about prompting an AI platform.

If you asked an AI to write an advertisement for a Toyota dealership, you would not simply say, “Give me some headlines and descriptions.” You would tell it the dealership’s name, location, targeted models, current offers, brand requirements, and the specific message you want to communicate.

Text guidelines serve a similar purpose. They help steer Google’s AI toward the desired output and away from claims or language the dealership cannot use.

The potential benefit is significant. If the system works properly, Google can customize an ad’s headline and description to speak more directly to the person searching. That can improve relevance across search variations an advertiser might not have anticipated manually.

But anyone who has spent time with an LLM or AI agent knows there is always a danger of it going outside the bounds you have set, especially if you did not establish those bounds clearly in the first place.
Without rigorous testing, somebody searching for a Tacoma could receive a headline about a Tundra. That is a simplified example, but it illustrates the problem. An AI-generated ad could use the wrong model name, include a competitor’s name, make an unsupported superlative claim, or create an OEM compliance issue.

You cannot assume that the output will always be what you expect. You need to test the inputs, review what the system produces, and refine the guidelines until the boundaries are clear.
According to Google, text customization and final URL expansion are enabled by default when AI Max is activated, although advertisers can manage the settings individually. Google’s reporting also allows advertisers to identify AI-generated assets and remove assets that do not align with the brand. (Google Ads Help; Google Ads Help)

The controls exist. The value depends on whether anybody is actively using them.

Why Wikimotive Disables Final URL Expansion

The final URL is the page a user reaches after clicking an ad.

For a dealership trying to sell vehicles, we generally want that person to land on one of two types of pages:

• A search results page, or SRP
• A vehicle details page, or VDP

These are the lowest-funnel, highest-converting pages on a dealership website. They place shoppers close to inventory and close to conversion.

Final URL expansion allows Google to select a different landing page when it predicts another URL may be more relevant to the search. Google describes the feature as a way to send traffic to the page most likely to perform well based on the user’s query. It is enabled by default with AI Max but can be turned off, and advertisers can establish URL exclusions or inclusions. (Google Ads Help)

In Wikimotive Internal Paid Search Testing, Google has not consistently selected the right pages for automotive shoppers.

It tends to favor informational pages with substantial written copy about a vehicle or model. Those pages provide more readable information for the system to evaluate. Meanwhile, SRPs and VDPs may contain less conventional written content even though they are where vehicle-shopping conversions occur.

This reflects a larger issue we have encountered with multiple Google advertising products: Automotive is generally an afterthought.

Google builds products for broad use cases. Many of its systems are particularly well-suited to conventional ecommerce, where customers can land on a product page and complete a purchase online. Automotive retail does not work the same way. A dealership VDP may be the equivalent of a product page, but the shopping process, inventory structure, conversion path, and surrounding website technology are very different.

For a higher-funnel campaign designed to educate researchers, an informational landing page may make sense. That is a different goal.

For a sales-focused automotive Search campaign, our position is straightforward: Searchers are better served by being sent to high-converting pages, full stop. We already know where we want the customer to land, so we disable final URL expansion.

AI Max and Ads in AI Overviews

AI Max also makes Search campaigns eligible for relevant placements within Google’s AI-powered search experiences. Google has said that advertisers using Search campaigns with broad match, including AI Max, may be eligible to appear in AI Overviews and AI Mode. (Google, May 2025)

That sounds important, especially amid the cultural fear of missing out surrounding AI search.

The actual near-term value for dealers needs to be put in context.

AI Overviews have generally been associated more closely with informational intent than low-funnel automotive shopping intent. The person asking a long, detailed question about vehicle features may see an AI-generated response. The person searching “Tacoma for sale near me” is more likely to encounter the traditional commercial search experience.

Being eligible for AI Overview placements is worth testing because the experience may evolve. If Google gets better at serving AI Overviews against low-funnel searches, we want to be ahead of that change.

Right now, however, appearing in an AI Overview is not necessarily as valuable as a dealer might assume. It is a “yes, but” answer. Yes, AI Max can provide access to those placements, but there is more to the story, including the intent behind the searches and whether that visibility produces meaningful sales opportunities.

Why AI Max Can Appear to Work Immediately

A dealer or vendor may turn on AI Max and see a rapid increase in performance metrics.

Impressions may increase by 50%. Clicks may rise by 25%. On the surface, those results can look amazing.

The first question should be: What do you mean by results?

Are you talking about impressions? Clicks? VDP views? Leads? Sales opportunities? Actual sales?

Those are very different outcomes.

The second question should be: Where is the additional activity coming from?

If the clicks are coming from people searching for your dealership’s name, towing capacities, diagnostic information, replacement parts, or general vehicle research, the campaign may be generating more traffic without generating more business.

If you are getting more qualified sales opportunities, kudos to you. Something is likely helping steer the system in the right direction.

If not, the surface-level improvement may simply be a function of broader scope.

Dealers cannot evaluate AI Max through vanity metrics. Every impression, click, and website visit has to be placed in the context of the campaign’s actual objective. If you are not getting more sales opportunities, something needs to be adjusted.

AI Max Needs the Right Signals and Time to Learn

AI Max is designed to learn over time. In theory, if it receives the right signals, it should eventually recognize that higher-funnel research traffic is not producing leads or sales and tighten its targeting accordingly.

Getting those signals right is difficult in automotive.

A dealership website may have two to five third-party vendors with tools attached to it. Each tool may, or may not, send conversion data back to Google Ads. The website provider is only one part of that ecosystem. Before an AI-driven campaign can learn correctly, you have to ensure Google is receiving accurate, meaningful data from every relevant source.

Based on Wikimotive Internal Paid Search Testing, properly training and evaluating the system can take three to five months, not because advertisers should ignore it during that period, but because automotive conversion signals, sales cycles, and campaign learning require sustained monitoring.

Google’s general reporting guidance advises advertisers to allow at least two weeks after enabling AI Max before making certain optimizations. That is a baseline platform recommendation, not a substitute for the longer automotive evaluation required to determine whether activity becomes real sales opportunity. (Google Ads Help)

If you turn AI Max on and do not pay attention to the inputs, search terms, landing pages, or generated assets, you are effectively allowing the system to spend your money while it learns the problem.

Our goal is to avoid that.

We tested Performance Max in much the same way. We identified where it moved outside the appropriate boundaries so we could learn how to steer it back inside them. With AI Max, we are testing how to narrow its focus intelligently from the start.

The AI should not need to spend a dealer’s money discovering problems we already understand.

Google’s Goals and the Dealer’s Goals Are Not the Same

Google has an incentive to expand advertising activity and increase the amount advertisers spend on its platform. That is not a conspiracy; it is a business model.

AI Max is designed to broaden the scope of Search campaigns. Naturally, that can feed advertisers into spending more money with Google.

A dealer’s objective is different. The dealer needs advertising spend to contribute to selling more vehicles.

That does not make AI Max bad. It means dealers and their partners must evaluate the technology based on dealership outcomes rather than accepting Google’s definition of opportunity without scrutiny.
Google reported during AI Max’s initial rollout that advertisers activating the feature typically saw 14% more conversions or conversion value at a similar cost per acquisition or return on ad spend. For campaigns relying primarily on exact and phrase-match keywords, Google reported a typical increase of 27%. Those are Google’s cross-industry figures, not automotive-specific results. (Google, May 2025)

The distinction matters. Google’s overall platform data includes industries, ecommerce models, customer journeys, and conversion definitions that may bear little resemblance to a dealership’s sales process.

The relevant question is not whether AI Max creates more activity across Google.

The relevant question is whether it creates more qualified opportunities for your dealership.

How Wikimotive Is Approaching AI Max

Wikimotive is not rejecting AI Max, and we are not turning it on indiscriminately.

We are controlling every component:

• We disable final URL expansion because we want automotive shoppers landing on high-converting SRPs and VDPs.
• We rigorously test text guidelines and review customized ad copy to establish dependable brand, model, offer, and compliance boundaries.
• We build robust negative keyword lists to reduce research-driven and irrelevant matches.
• We continually monitor search-term reports to understand what AI Max is matching and where waste may be entering the campaign.
• We validate the conversion signals being sent from the dealership website and its third-party tools.
• We judge performance by meaningful sales opportunities, not impressions, clicks, or other isolated top-line metrics.

The goal is to capture opportunities that would have been difficult to anticipate manually, without allowing the campaign to drift into searches that do not produce a return.

That is where we see AI Max’s legitimate potential.

What Dealers Should Ask About AI Max

If AI Max is active, or being proposed, for your dealership’s Search campaigns, ask:

1. Which AI Max features are enabled? AI Max is a suite of settings. “We turned on AI Max” does not tell you how search term matching, text customization, or final URL expansion are being managed.
2. Where are the ads sending shoppers? Review actual landing-page reporting. Determine whether traffic is going to SRPs and VDPs or being diverted to informational pages.
3. What search terms are producing the additional impressions and clicks? Do not settle for target-keyword reporting. Review the queries Google actually matched through AI Max.
4. What negative-keyword strategy is in place? The list should be researched, automotive-specific, and updated continuously.
5. Who is reviewing Google-generated ad copy? Someone needs to monitor model accuracy, dealership branding, offer language, unsupported claims, and OEM compliance.
6. Which conversion signals are training the system? Confirm that website and third-party tools are sending accurate signals and that low-value actions are not being treated like meaningful leads.
7. What improved after AI Max was enabled? Separate impressions, clicks, and traffic from qualified leads, sales opportunities, and vehicle sales.

The Bottom Line for Automotive Dealers

AI Max can improve a Search campaign’s ability to identify relevant queries and tailor ad copy to individual searchers. That is real potential.

It also introduces more opportunities for the campaign to expand beyond its sales objective.

The technology is not inherently good or bad. Its value depends on the inputs, the controls, the monitoring, and the standard used to define success.

If the system is carefully trained and constrained, AI Max may help a dealership capture low-funnel opportunities that traditional keyword planning would have missed. If it is activated without automotive-specific guardrails, it may simply generate more activity and spend more money.

Our job is to make sure the campaign is working toward the dealer’s goal of selling more cars, not Google’s goal of selling more ads.