The Hype vs. The Reality
There’s been a lot of noise around AI Overviews (AIOs) over the past year. First it was about zero-click searches taking traffic away from websites. Now that ads are starting to appear in AIOs, the conversation has shifted to, “How do we get our ads in there?”
The reality is, AIOs aren’t a new network you can target like Search, Display, or Shopping. They’re just another shift in SERP real estate, something Google has been evolving for years through knowledge panels, featured snippets, and other layouts.
You can try to increase your chances of showing up by targeting more informational queries with broader match types, but for most businesses, that’s not a strategy worth chasing directly. Unless you’re an enterprise brand with a dedicated awareness budget, optimizing for an informational placement like this doesn’t justify the spend.
The “Zero-Click” Filter (Why Rising CPCs Aren’t Always Bad)
There’s a lot of concern about search moving toward a “zero-click” model, where users get answers directly from AI or the SERP without ever visiting a website. That trend is real, but it’s not necessarily a bad thing.
AI Overviews primarily show on informational queries. When users have stronger intent—buying, booking, or requesting a service—search ads and shopping results still dominate.
What we’re seeing in the data reflects that shift. Many accounts are seeing lower overall traffic, but higher engagement and relatively stable conversion volume. In other words, lower-intent users are getting filtered out earlier.
That filtering effect is important. The users who do click are more qualified. They’ve moved past the quick-answer stage and are actively looking for a solution. Smart bidding reacts to that. When conversion rates increase, the algorithm bids more aggressively to win those auctions. CPCs go up, but you’re paying for better clicks. That’s a tradeoff most accounts will take, as long as CPA stays within a profitable range.
There’s also a branding angle here. Showing up in an AI Overview positions your business more like a trusted source, closer to a Wikipedia-style reference than a traditional display ad. For some brands, that’s valuable. But it’s still a top-of-funnel play, not a direct response driver.
The Reporting Black Box (You Can’t Optimize What You Can’t Measure)
Right now, AI Overviews function the same way Performance Max did when it first launched, as a complete black box. Google doesn’t separate AIO impressions or clicks from standard search data. Everything is blended together. That applies to both paid and organic performance.If you can’t isolate the data, you can’t optimize toward it.
Even if you tried to force the issue, there’s no clean way to do it. You can’t create an “AIO campaign,” and you can’t bid specifically for that placement. If a client insisted on testing it, the closest approach would be building a separate campaign targeting broad, conversational queries using Phrase Match (e.g., “how to fix a noisy furnace”), while aggressively excluding bottom-funnel terms with Exact Match negatives. But even then, you wouldn’t know if performance came from AIO placements or standard search results.
At that point, it becomes a theoretical exercise more than a measurable strategy.
The Enterprise Luxury vs. The SMB Reality
The brands that need to think about this are the ones with the budget to support it.
Large, enterprise-level companies can afford to run top-of-funnel campaigns focused on informational queries. They also tend to dominate organic rankings for those topics, which increases their likelihood of appearing in AI Overviews.
For small to mid-sized businesses, the situation is very different. Most are focused on capturing high-intent traffic and making efficient use of limited budgets.
There’s also a geographic limitation. If you’re a local business targeting a specific region, the volume of informational searches within that area is often too low to support an AIO-focused strategy. Even if you wanted to test it, there may not be enough data to make it meaningful.
For most SMBs, this is less of an opportunity and more of a distraction.
How to Actually “Optimize” for AI (It’s Just Clean Data)
It might sound contradictory to talk about optimization after saying AIOs aren’t something to focus on directly, but that’s because the industry is framing it incorrectly. “Optimizing for AI” doesn’t mean trying to hack placements or write prompts. It means giving Google clean, structured data to work with.
For ecommerce, that starts with your product feed. Make sure titles, descriptions, and product attributes are fully built out. Use the correct Google product taxonomy. Fill in any missing data wherever possible. The more structured your feed is, the easier it is for Google to categorize and surface your products in any format, including AI-driven ones.
For accounts running Performance Max or other automated campaigns, the same principle applies. Your assets should align closely with user intent. Strong landing pages, clear messaging, and a wide range of relevant creatives give the algorithm what it needs to match your ads to the right queries.
None of this is new, it’s just more important now.
Conclusion: Focus on the Funnel, Not the Feature
Whether AI Overviews become more prominent or not, they don’t change the fundamentals. You can’t isolate the data, you can’t target the placement directly, and you can’t build a strategy around something you can’t measure.
This is just another shift in how Google presents results. Like every other SERP change over the past decade, the best approach is to stay focused on intent, what the user is trying to accomplish, and build campaigns around that. If your campaigns are aligned with the right parts of the funnel, Google will find the placement.
