Insights Google Ads AI Overview Won’t Break Search, An Outdated Strategy Will

AI Overview Won’t Break Search, An Outdated Strategy Will

Tom Francis

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4 Min Read

If you’re waiting for AI to kill Google Ads, you’re going to be waiting a long time.

Over the last year, you have probably seen the think pieces on LinkedIn and industry forums. The narrative is always similar: generative AI is taking over, chatbots are the new search engines, and traditional paid search is becoming an afterthought. The natural conclusion drawn by nervous boardrooms is to pull back on spend.

We need to look at this pragmatically. Every major update to the search engine triggers a wave of doomsday prophecies. We saw it when featured snippets were introduced, and we saw it again with the rise of voice search. AI Overviews are simply the latest iteration of this cycle. They represent a significant shift in user behaviour, absolutely, but they are an evolution of how we find information, not an extinction event for the industry.

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What has actually changed in SERPs in the last 12 months?

Let’s look at what has genuinely shifted on the search engine results page (SERP) over the past twelve months. The most undeniable change is the normalisation of AI Overviews and AI Mode. Instead of immediately presenting a static list of ten blue links, Google is increasingly synthesising information from across the web to deliver a structured, conversational answer at the very top of the page.

Because of this layout, the way people search has fundamentally changed. Users are training themselves to treat Google like a conversational assistant, typing out longer, highly nuanced questions rather than fragmented, two-word keywords. However, this AI is a curator and not a mind reading oracle. It relies entirely on crawling real websites, real blogs, real product feeds and real youtube videos for its source material.

What this means in practice is that traditional organic results are being pushed further down the screen to accommodate these generative summaries. As a result, the real estate at the very top of the page is smaller, making it far more exclusive and competitive.This also means Google can show your ads to a more relevant audience, depending on their search query.

Ways Google Ads interacts with SERPs vs last year

Throughout 2025 and into 2026, we have seen Google deliberately weave highly relevant Search and Shopping ads directly into and around these AI Overviews. How they interact is based entirely on user intent. If someone asks a top-of-funnel question, the AI provides an educational summary. But when that user needs a tool or service to act on that information, an ad appears natively within the AI box to provide the solution.

In many ways, these results should act as a filter for your ad spend. The AI Overview satisfies the curious window shoppers. The users who actually click through to your ads are further down the funnel. As they don’t just want information anymore, they also want to buy. The ad serves as a direct bridge to action for high-intent users.

How to make the most of these changes

The businesses that lose out won’t be the ones using Google Ads.
They will be the ones relying on outdated strategies.

To scale performance today, you must at least test Google’s own automated systems on the backend to dominate the frontend. This means trialing Google’s “Power Pack” of campaign types: Performance Max (PMax), Demand Gen, and the newly rolled out AI Max features for Search. Now, I’m not saying we should rely solely on Google’s algorithmic magic, but I would encourage you to trial their systems alongside traditional search and shopping campaigns.

Performance Max is quickly becoming a non-negotiable way for orchestrating full-funnel performance across Google’s entire network, especially as we gain better visibility into channel-level reporting. AI Max is also forcing advertisers to rethink search, blending broad match searches with keywordless targeting to capture nuanced, conversational queries.

But the real secret to making these campaigns work in 2026 is the quality of the signals you provide. The algorithm is only as good as your data. You must prioritise robust first-party data, flawless conversion tracking, and highly optimised Merchant Center feeds.

Furthermore, your ad copy may need an overhaul. Because the AI handles the basic information, your ads need to be contextually aligned with the user’s specific problem, offering a clear next step rather than a generic pitch.

At The Graygency, we know the psychology of why people buy hasn’t changed. But, by feeding the right data into the right campaign types, we are turning this AI shift into a lever for scale.

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