Google Ads in AI Overviews: What Changed and Why It Matters

Google has started placing ads inside AI Overviews. But the more important change is how those ads are matched.

If you’ve been running search campaigns the same way for the past few years, this update changes how paid and organic work together.

Here, we explain how AI Overviews work, how ads are now integrated into them, and what this means for how you structure your content and campaigns going forward.

Let’s get started.

What are AI Overviews (and how do they work)?

AI Overviews are Google’s generative responses that appear at the top of certain search results.

They are not a standalone chatbot. Instead, they are built on top of Google’s existing search system.  According to Google's own documentation, AI Overviews use a customised language model that's integrated directly with their core web ranking system. They're designed to carry out traditional search tasks — identifying relevant, high-quality results from the index — not just generate output from training data. Think of them as a layer on top of traditional search.

What changes is how those results are presented.

When a query requires more than a single answer, Google pulls information from multiple sources and combines it into a single, summarized response. This typically happens for:

• comparisons

• decision-based queries

• multi-step questions

For example, a search like “Ford F-150 vs Ford Maverick: which is better for daily use?” is more likely to trigger an AI Overview than a simple query like “Ford dealer near me.”

In that sense, AI Overviews act as a layer on top of search.

What this means for your website

Websites aren't going away, but their job is changing. Historically, the goal was to get people to your site.

Going forward, the more important function is being a reliable information source that AI Overviews pull from. Your content becomes an index, a citation library. That also means the metrics shift. Clicks to your site may go down even as your visibility goes up.

Google frames this as understanding "the full value of your clicks, "focusing on whether users got what they needed, not just whether they landed on your page. Now, zero-click doesn't mean zero value. It means trust is being built somewhere upstream.

Ads Inside AI Overviews

This is where things get structurally different.

Google is now serving ads within AI Overviews. Those ads are matched based on both the user query and the content of the AI overview itself.

In traditional search, you're bidding on keywords: what someone types. That's it. Here, the ad relevance is also being determined by what the AI overview says. The organic content and the paid placement are now connected in a way they never have been before.

	Traditional Search Ads	Ads Within AI Overviews
Match based on	User query (keyword)	User query + AI Overview content
Organic/paid relationship	Separate	Connected
Targeting approach	Precise, segmented	Broad, content-driven
Visibility outcome	Ad placement	Ad + Overview simultaneously

What does this mean for your business?

If your website content is informing the AI overview, and your Google Ads campaign is targeting the same intent, you could appear in both the overview and the ad in a single search result. That's a trust signal. The consumer sees Google recommending you organically and commercially in the same answer.

That's the integrated play. And it's why treating SEO and paid search as separate channels is incr

easingly counterproductive.

Google's documentation showing "Ads within AI Overviews"  

What Do Dealerships Need to Show Up in AI-Overview Ads?

To be eligible for ads within AI-powered search experiences, you need AI-powered targeting. That means:

• Broad match campaigns on search — not ideal for control, but necessary for AI-driven matching

• Performance Max — already required for vehicle listing ads; now more relevant across the board

• AI Max for Search — worth testing, especially for branding campaigns

• Shopping feed hygiene — if you're in retail or e-commerce, your feed needs to be current and clean

  
  

For car dealers specifically, this is a good moment to revisit model landing pages. Not thin pages,  comprehensive ones. Every model, every year, every trim breakdown, key features, inventory selectors, inquiry forms. One authoritative page per model that Google can actually index and extract from. Take that URL, plug it into a Dynamic Search Ads campaign, and let Google write the ad from the page content. That's the setup most likely to put you in both the AI overview and the ad placement at the same time.

The targeting goes broad, while the content does the precision work.

What Most People Will Get Wrong

The instinct in paid search has always been to isolate and dominate by controlling your placements, segmenting tightly, and minimising waste. That logic made sense when search was transactional and linear. It works against you here.

Watch out for these two specific mistakes:

1. Staying siloed. Running paid and organic independently, optimizing each in isolation, misses the entire point of this update. The ad relevance is now partially determined by your organic content. If those two aren't aligned, you're leaving the integrated placement on the table.

2. Letting Performance Max default to brand. PMAX optimizes for lowest-cost conversions. Your brand name is almost always the lowest-cost conversion. If you're not actively monitoring search terms in your PMAX and broad match campaigns, you'll spend budget confirming existing customers instead of reaching new ones. Go broad, but watch what you're matching against.

Have questions about how this applies to your campaigns? Watch our detailed video about what every car dealer must do to survive 2026.