Google AI Overviews Are Showing Up With Ads—AEO Just Got Urgent

Google’s AI Overviews aren’t just changing organic visibility—they’re increasingly appearing on the same results pages as ads. That combination matters right now because it changes what users see first, what they trust, and where they click (or don’t).

If you’re a B2B marketer or media buyer, this is the moment to stop treating “AI search” as a future SEO problem. It’s a present-day distribution problem across paid and organic, and it’s already showing up in publisher revenue narratives.

What happened (and why it’s credible)

Two signals, from two different angles, point to the same reality: AI Overviews are becoming a more central part of Google’s SERP experience—alongside ads.

**1) Ads + AI Overviews are appearing together far more often.** Semrush reported that **“SERPs with Ads + AI Overviews Grew by Over 394% in 2025.”** (Semrush)

That’s not a minor layout tweak. It’s a step-change in how often marketers should expect to compete on a page where Google is also generating an AI answer.

**2) A major publisher is blaming AI Overviews for ad revenue decline.** According to reporting aggregated by **NewsAPI: AI Overviews Ads**, publisher DMGT attributed a drop in performance to Google’s AI features, with the specific claim: **“digital ad revenue down 15% to £148.3M due to Google’s AI Overviews.”** (NewsAPI: AI Overviews Ads)

Whether you buy that attribution in full or not, it’s a notable public statement: AI Overviews are now being cited as a direct driver of monetization pressure.

What this means for B2B marketers (paid + organic)

When AI Overviews and ads share the same SERP more frequently—as Semrush says they did in 2025—you should assume the “top of page” is no longer a simple ranking contest. It’s a blended environment where:

1) **Your paid ads may be competing with an AI-generated summary for attention.** Even if your ads still render, the page can feel “answered” before a click happens.

2) **Your organic listings may be de-emphasized even when you rank well.** The practical issue isn’t “did you rank #1?” It’s “did the user need to click after reading the Overview?”

3) **Publishers feeling revenue impact is a warning signal for everyone who relies on click-through.** DMGT’s statement—“digital ad revenue down 15% to £148.3M due to Google’s AI Overviews” (NewsAPI: AI Overviews Ads)—isn’t just a publisher problem. It’s a proxy for what can happen when fewer users visit pages where ads (and conversion paths) live.

4) **AEO becomes the connective tissue between brand visibility and demand capture.** In a world where answer engines mediate the first impression, the job shifts from “drive clicks” to “win the answer layer”—while still using paid to harvest demand where it exists.

And this isn’t just a Google conversation. Buyers are also using **ChatGPT, Copilot, Perplexity, Brave, and Meta AI** to shortlist vendors and validate claims. But Google’s shift matters because it’s where intent-heavy searches and budgets already sit—and Semrush is telling you the overlap of ads and AI Overviews is rising sharply.

What to do right now (practical action items)

Here’s how to respond without guessing, panicking, or rewriting your entire program.

1) Audit where AI Overviews and ads overlap in your category

Semrush’s “over 394%” growth claim (Semrush) is your cue to stop assuming these SERPs are edge cases. Build a shortlist of your highest-value non-brand queries and manually check how often AI Overviews appear—and whether ads show alongside them.

What you’re looking for:

• Queries where the AI Overview “answers” the question so completely that clicking feels optional
• Queries where the Overview names vendors, tools, categories, or evaluation criteria

2) Adjust paid search expectations: measure outcomes, not just CTR

If AI Overviews are increasingly present on ad-heavy SERPs (Semrush), CTR volatility is likely to become more common. Don’t overreact to CTR alone.

Operationally:

• Keep your focus on pipeline and qualified lead signals
• Segment reporting for queries where AI Overviews appear vs. don’t appear (even if this is a manual tag at first)

3) Build “answer-ready” assets designed to be summarized

You can’t control the SERP layout, but you can control whether your content is easy for an answer engine to interpret.

Create or refactor pages that:

• Provide direct, plain-language answers to common buyer questions
• Use clear definitions, comparisons, and decision criteria
• Make your positioning unambiguous (who it’s for, when it’s not, key differentiators)

This is AEO: you’re optimizing for how **Google AI Overviews** and other answer engines (ChatGPT, Copilot, Perplexity, Brave, Meta AI) extract and present information.

4) Protect your brand narrative where AI Overviews may shape perception

If a publisher is publicly attributing revenue declines to AI Overviews (NewsAPI: AI Overviews Ads), it’s a reminder that the “preview layer” can change user behavior at scale.

For B2B, that means:

• Tighten the language on your homepage and core solution pages so an AI summary can’t mischaracterize you
• Publish clear POV content that states what you do, who you serve, and what outcomes you drive—so the model has high-confidence inputs

5) Treat AEO as a cross-channel program, not an SEO side quest

The Semrush claim is explicitly about **SERPs with Ads + AI Overviews** (Semrush). That means the response should connect search ads, SEO, content strategy, and brand messaging.

A practical starting point:

• Pick 10–20 priority queries tied to revenue
• Map what the AI Overview says today
• Identify gaps (missing proof points, unclear differentiation, weak category language)
• Publish content that answers those gaps directly

Bottom line

Semrush’s finding that **“SERPs with Ads + AI Overviews Grew by Over 394% in 2025”** (Semrush) and DMGT’s attribution of a **15% digital ad revenue decline to AI Overviews** (NewsAPI: AI Overviews Ads) point to the same shift: the answer layer is becoming the battlefield.

If you want to keep demand capture predictable, you need to optimize for visibility inside AI Overviews while adapting paid strategy to a SERP that increasingly looks “answered” before the click.