Introduction: A Search Landscape in Flux
Google has always been in the business of reshaping how people discover information. From featured snippets to Knowledge Panels to the introduction of Shopping Ads, each change has redefined what it takes to show up where users are looking.
Now, with AI Overviews (formerly Search Generative Experience), Google has put machine learning at the very top of the results page. This isn’t just another design tweak; it’s a structural change that shifts user attention away from both organic listings and traditional paid search.
For e-commerce brands, especially those not running Shopping, Performance Max, or broad-match campaigns, this is a make-or-break moment. The cost of staying out of Google’s AI ecosystem is rising sharply.
The AI Overview Effect: What’s Happening on the SERP
Reduced Visibility
AI Overviews sit above everything — organic results, and in many cases, even paid ads. This is the new “position zero,” and if your brand isn’t integrated into Google’s eligible formats, you’re invisible where attention is highest.
The knock-on effect is brutal:
- Ads that used to appear above the fold are now shunted down, sometimes onto the second screen.
- Fewer people even see your listing, regardless of how strong your copy or bidding strategy is.
Declining Click-Through Rates
Visibility is one thing. Engagement is another. The numbers coming in show a consistent downward trend in CTRs when AI Overviews are present.
- 15.5% average CTR drop when AI Overviews appear, according to Verbolia.
- 27% CTR drop for results outside the top three positions.
- 25% decline overall in paid search CTR (from ~8.8% to ~6.6%) per Accelerated Digital Media.
- A meta-analysis discussed on Reddit found ~40% CTR decreases across informational queries.
For brands still relying heavily on text ads or content marketing, these aren’t small erosions. They’re cliffs.
Query Type Matters
It’s not an even playing field:
- Informational queries (“how to,” “what is,” “best options”) are where AI Overviews dominate.
- Transactional queries (product-driven searches with purchase intent) are somewhat less affected — but even here, AI is learning to surface Shopping placements inside its block.
In other words, the queries many brands used to rely on for upper-funnel awareness are being swallowed whole by AI Overviews.
Why Campaign Type Now Determines Survival
Here’s the critical distinction: not all campaigns are created equal in the AI era.
The Campaigns Shut Out
If you’re only running standard Search campaigns with exact or phrase match, you’re likely already seeing fewer impressions. These ads don’t currently qualify for placement inside AI Overviews or “AI Mode.”
The Campaigns That Break Through
- Shopping Campaigns → Eligible to surface inside AI Overviews with product carousels and listings.
- Performance Max Campaigns → Positioned as Google’s AI-native solution, designed to adapt across placements (including AI Overviews).
- Broad Match Search Campaigns → While more volatile, these align better with Google’s AI-driven matching logic, making them more resilient to the new search environment.
Translation for Brands
If you’re ignoring these formats, you’re not just limiting yourself — you’re effectively disqualifying your campaigns from the most premium real estate on Google.
Missed Opportunities Without AI-Aligned Campaigns
- Fewer Ad Impressions
- Weaker Conversion Alignment
- Lost Ground in Informational Queries
A Rare Upside: Where AI Overviews Help
It’s not all bad news — if you play Google’s game.
- Ads Inside AI Overviews Are Still Ads The AI block isn’t “organic only.” It includes ad space, and for brands using Shopping or Performance Max, that means premium positioning at the very top of results.
- AI Campaign Efficiency Early data suggests that campaigns aligned with AI logic are actually performing better:
The trade-off is obvious: you give up some control to Google’s AI, but in return, you gain eligibility for placements that are otherwise off-limits.
Practical Implications for Campaign Setup
Shift from Keywords to Signals
Traditional keyword targeting is losing ground. Google’s AI relies more on signals:
- Product feeds (for Shopping).
- Audience insights (for Performance Max).
- Search intent (via broad match).
If your setup still revolves around granular keyword lists, you’re fighting the wrong battle.
Creative Assets Matter More
AI Overviews remix content dynamically. The more assets you feed into Performance Max (images, videos, copy variants), the more chances Google has to fit you into its AI placements.
Budget Allocation Is Strategic
- Brands heavily weighted toward Search only are exposed.
- A hybrid mix — with significant spend on Shopping and Performance Max — is more resilient.
- Test allocations, because in some industries, AI Overviews are more aggressive than in others.
Risks and Tensions
It’s worth naming the unease here.
- Loss of Control: Advertisers hand more power to Google’s opaque AI systems, with less visibility into where and why ads appear.
- Data Dependency: The more you rely on Google’s AI placements, the harder it is to independently assess performance.
- Volatility: Early adopters of broad match know that swings in spend and efficiency can be extreme.
For many brands, this is less about strategy and more about trust.
How to Adapt Without Overreacting
The temptation is to overhaul everything overnight. But panic rarely builds strong campaigns.
Practical steps:
- Audit Current Exposure
- Pilot Performance Max
- Invest in Creative Assets
- Track Incrementally
The Bigger Picture: Beyond Google
AI Overviews are just the latest reminder that Google owns the playing field. Brands that diversify (Amazon Ads, TikTok Shop, Meta Advantage+) hedge against total dependency.
That said, Google remains the dominant channel for high-intent searches. Ignoring how AI is reshaping it isn’t an option.
Conclusion: The Fork in the Road
E-commerce brands that keep running only legacy search campaigns will find themselves increasingly invisible, watching CTRs and conversions slide.
Those that lean into Shopping, Performance Max, and broad match — however imperfect — will at least stay in the game, with access to Google’s AI-driven placements.
The uncomfortable truth is that the ground has shifted. AI Overviews aren’t going away, and Google has made clear which campaign types it wants advertisers to use.
The choice is simple: adapt your setup to align with Google’s AI ecosystem, or risk being written out of the results altogether.