For most of my career, paid and organic search lived in separate rooms. As one of roughly twenty Google Ads Diamond Product Experts worldwide, I have spent fifteen years inside the auction, and the mental model was simple: organic was where you earned position, paid was where you bought it, and the two were optimized by different people using different tools toward different metrics. A new study just showed me, in data, that the wall between those rooms has developed a crack. And the crack has a price tag.
What the data actually shows
Semrush analyzed more than 600,000 keywords across ten industries between November 2025 and April 2026. The headline finding is that AI Overviews are no longer confined to informational queries: their appearance on commercial-intent searches grew by 71% over the period. Commercial intent is the research-and-compare stage, the part of the funnel where someone is evaluating options and where advertisers spend heavily to be seen. Meanwhile, Google Ads and AI Overviews now show up together on the same results page roughly twice as often as a year ago, extending a trend that saw SERPs with both grow by 394% through 2025.
Then comes the number that made me stop. Across most of the higher-value industries, keywords that triggered an AI Overview carried a higher average cost per click than keywords that did not. In Jobs and education, keywords with an AI Overview averaged 5.02 dollars per click against 1.51 without. In Finance, 4.84 against 2.14, and Finance also posted the single largest growth in commercial AI Overviews of any sector, up 231% in six months. The AI answer is arriving precisely where the clicks are most expensive.
The nuance most people will skip
Here is where fifteen years in the auction changes how you read a study like this, because the easy takeaway is wrong. It is tempting to conclude that AI Overviews simply drive CPCs up. They do not, and the same dataset says so. In lower-cost categories, including Internet and telecom, Games, Hobbies and leisure, Food and drink, News, and Sports, keywords with an AI Overview actually showed a lower average CPC. The correlation between AI Overviews and expensive clicks is concentrated in the industries with long, high-stakes research journeys, where a buyer spends weeks comparing before committing: finance, education, high-consideration services.
That distinction matters, because it tells you where this is a strategic problem and where it is noise. If you sell in a long-research, high-value category, the AI Overview is colonizing your most expensive keywords and you should treat that as a media-planning event. If you sell a quick-decision product, the pattern is weaker and the urgency is lower. A study gives you an average. A media buyer has to know which half of the average he is standing in.
The AI Overview did not raise every CPC. It raised the stakes on exactly the keywords where you were already paying the most to be seen.
Why this turns citability into a paid lever
Now put the two facts together. On a high-value commercial query that now triggers an AI Overview, your brand can be present in that overview in two fundamentally different ways. You can pay for a placement in or around it, at a CPC that is climbing. Or you can be cited inside the AI Overview itself, organically, as one of the sources the model chose to build its answer from. Most of the time, the honest answer is that you want both. But the second path has an economic property the first does not: once you are cited, you are present without paying per click, on the exact query where the click is most expensive.
And being cited inside an AI Overview is not luck. It is structural. It is a function of whether your content is built so that a generative model can resolve you cleanly to the right answer, trust you enough to include you, and find you when it assembles the response. That structural property is what we measure as the Citability Score. Which means the Citability Score is no longer only an answer-engine metric sitting off to the side of your SEO. On commercial queries that trigger an AI Overview, it has become a lever on your paid-media economics.
The logic is direct. Where your citability is high, you earn organic presence in the overview and you can lean off the auction on that keyword, letting paid do the work only where it adds incremental reach. Where your citability is low and the CPC is high, you are paying full auction price for a position you could have partly earned, on the most expensive real estate you own. For the first time, I can look at a client's keyword list and say: these are the terms where investing in citability will show up in your media efficiency, not just your visibility report.
What I would do with this
If I were sitting in front of a high-value account tomorrow, the workflow is concrete. Start from the paid side, not the organic side, because that is where the money is visible. Pull your most expensive commercial keywords, the ones eating the largest share of budget. Check which of them now trigger an AI Overview, which the Semrush data suggests will be a growing majority in high-value verticals. For those, check whether your brand is cited inside the overview or absent from it.
That intersection is your priority map. High CPC, AI Overview present, brand not cited: that is a keyword where you are paying maximum auction price and getting zero organic presence in the answer that increasingly frames the decision. That is where citability work pays for itself twice, once in visibility and once in reduced dependence on a rising CPC. High CPC, AI Overview present, brand already cited: protect that position, because the study's companion finding is that citation slots are contested and rotate. The AI Visibility Index tells you where you currently stand across those queries; the Citability Score tells you what to fix to hold or win them.
None of this replaces paid search. I am the last person who would tell you to turn off Google Ads. The point is the opposite: paid becomes sharper when you stop spending full price on queries where earned citability could carry part of the load, and concentrate budget where it genuinely buys incremental reach. That is not an organic strategy or a paid strategy. It is one strategy, run across a results page that no longer keeps the two apart.
The wall is coming down
For fifteen years I optimized paid and organic as if they were independent systems, because on the results page they mostly were. The AI Overview is quietly ending that separation, and the Semrush data is the first hard evidence I have seen of the seam. When the same real estate can be won organically through citation or bought through the auction, the structural quality that earns the citation becomes a financial variable, not just a marketing one. Your Citability Score used to be a measure of how well AI understood your brand. On your most expensive keywords, it is now also a measure of how much you have to pay to be seen. Those are the same question now, and I did not expect to be writing that sentence as a paid-search specialist.