Zero-Click Search - a New SEO Norm
Zero-click searches have become a dominant force in the search landscape, with recent studies showing that approximately 59% of Google searches end...
7 min read
Writing Team
:
Nov 24, 2025 7:00:00 AM
Your Google Search Console looks schizophrenic.
Impressions are holding steady. Some keywords even show increases. But clicks are declining. Your click-through rate is sliding month over month, and you can't figure out what you're doing wrong.
Plot twist: You're not doing anything wrong. Google is just answering your potential visitors' questions before they ever reach your website.
Welcome to the AI Overview era, where being the source of information no longer guarantees being the destination.
Here's what's happening in search results right now. Someone types "what causes black mold in bathrooms" into Google. An AI Overview appears at the top of the page with a comprehensive answer synthesized from multiple sources. Below that sits your perfectly optimized article that Google used to generate that answer.
The searcher reads the overview. Gets their question answered. Closes the tab.
Your article showed up. Google counted an impression. The user never clicked.
This isn't a bug. This is the feature Google spent billions developing.
Traditional SEO metrics tell you you're succeeding—your content is ranking, you're appearing in relevant searches, your visibility is strong. But traffic tells a different story. The disconnect between impression metrics and actual visits is widening, and it's not because your content suddenly got worse.
It's because Google decided to become the answer instead of the directory to answers.
Impressions measure exposure. How many times your URL appeared in search results to someone, somewhere. It's a visibility metric, and by that measure, many sites are doing better than ever.
But visibility and traffic are no longer the same thing.
AI Overviews appear above traditional search results for a growing number of queries—particularly informational queries where someone wants a quick answer rather than deep research. Google synthesizes information from multiple ranking pages, displays it in that overview box, and calls it a day.
Your content informed that answer. You might even see a citation link in the sources section on the right side of the overview. But users increasingly stop at the overview without clicking through.
The math is brutal. If you rank position 3 for a keyword that gets 10,000 searches per month, you used to be able to predict traffic based on historical CTR data. Position 3 typically captured maybe 10-15% of clicks, so you'd expect 1,000-1,500 visits.
Now that same keyword triggers an AI Overview for 60% of searches. Suddenly only 4,000 of those searches even see traditional blue links. Your position 3 ranking now drives 400-600 visits instead. Your impressions stayed at 10,000. Your traffic dropped 60%.
You didn't get worse at SEO. The game changed.
Zero-click searches aren't new. Featured snippets have been answering questions directly in search results for years. Knowledge panels have been serving up quick facts since 2012. Local packs show business information without requiring a click.
But AI Overviews took zero-click to an entirely different scale.
Research suggests that anywhere from 25% to nearly 60% of Google searches now end without a click to any website. That number varies dramatically by query type and industry, but the trend is unmistakable. Google is keeping users on Google.
For informational queries—the "how to" and "what is" and "why does" questions that content marketers have been targeting for a decade—AI Overviews are particularly devastating. These were supposed to be top-of-funnel traffic sources. Ways to introduce your brand to people researching problems you solve.
Now they're just ways to contribute anonymously to Google's knowledge base while watching your traffic metrics decline.
Standard analytics platforms tell you what happened on your website. They can't tell you what happened on Google before someone decided not to visit your website.
Google Search Console shows impressions, but it doesn't distinguish between "shown in traditional results where clicks were possible" and "used as a source for an AI Overview that eliminated the need to click." Both count as impressions even though they represent fundamentally different user experiences.
Third-party tools like Semrush are starting to track AI Overview visibility. They'll show you which of your keywords trigger overviews and whether your content is being cited as a source. The data is still immature and the methodologies are evolving, but it's better than flying blind.
Look for keywords where impressions remain stable or grow while clicks decline. That pattern strongly suggests AI Overview interference. Not always—seasonal changes, SERP feature changes, and new competition can create similar patterns—but it's a useful diagnostic signal.
Track your presence in AI Mode separately from traditional Google search. AI Mode is Google's conversational search interface powered by Gemini. It's a different user experience, a different algorithm, and increasingly, a different audience. Being visible there matters even if it doesn't drive traditional website traffic.
Monitor direct traffic increases. Here's where it gets interesting. Some users research in AI Overviews or ChatGPT, don't click through, but later remember your brand name and search for you directly. You lose the attributed click from the original research query but gain unattributed direct traffic later. Your analytics show this as direct or branded search, not as the result of that AI Overview where they first encountered you.
Getting cited in an AI Overview is simultaneously valuable and valueless.
Valuable because: Google chose your content as authoritative enough to inform its answer. You're being vetted by the algorithm as a quality source. Your brand name might appear in the sources section, creating passive brand awareness even without clicks. You're building equity with Google's systems that could benefit you in other ways.
Valueless because: You get no traffic. No engagement. No opportunity to convert visitors into leads or customers. No chance to demonstrate your expertise beyond the single fact Google extracted. No email signups, no product views, no relationship building.
It's like being quoted in a magazine article. Great for credibility, useless for direct response.
The strategic question becomes: What are you optimizing for? If the answer is traffic and conversions, AI Overviews are a threat. If the answer is brand authority and search visibility, they're an opportunity. Most businesses need both, which makes this complicated.
Click-through rate used to be a straightforward calculation. Impressions divided by clicks. If you appeared in search results 10,000 times and got 1,000 clicks, you had a 10% CTR.
Simple. Interpretable. Increasingly irrelevant.
When 40% of your impressions happen in contexts where AI Overview already answered the question, the denominator in that equation includes thousands of impressions that were never realistically going to convert to clicks. Your CTR looks terrible not because your titles and descriptions are weak, but because nearly half your impressions were in zero-click contexts.
Evaluating performance based on CTR without accounting for AI Overview prevalence is like measuring restaurant popularity by the number of people who read the menu but don't order. Sometimes people just wanted to know what you serve.
The metric that matters more now is clicks from traditional search results specifically. Not all impressions—just impressions in contexts where clicking through was actually possible and appropriate. Most analytics platforms don't break this out automatically, which makes analysis harder.
You're forced to infer AI Overview impact by looking at query patterns, impression-to-click trends over time, and comparative performance across similar keywords with different AI Overview prevalence.
Complaining about AI Overviews is cathartic but useless. Google isn't removing them. The trend toward more sophisticated, comprehensive answer engines will continue regardless of how content creators feel about it.
The strategic response isn't to optimize for AI Overviews specifically—Google's guidelines haven't changed, and gaming these systems is both difficult and risky. The response is to create content that delivers value beyond what an AI Overview can provide.
Go deeper than overview-level answers. If an AI Overview can comprehensively answer a query in three paragraphs, that query probably isn't worth targeting with 2,000-word content anymore. Instead, target the follow-up questions. The nuanced scenarios. The implementation details that require more than a summary.
Create interactive tools and calculators. AI can explain how to calculate ROI. It can't run your specific numbers and show you your specific results. Interactive content naturally requires users to visit your site, making it Overview-proof.
Develop content that requires current, real-time, or proprietary data. AI Overviews synthesize existing information but can't access live pricing, current inventory, proprietary research, or real-time conditions. Content built on these elements maintains click value.
Build resources too comprehensive to summarize. Ultimate guides, extensive databases, detailed comparisons—content so thorough that an overview can only gesture toward it, not replace it. Users who want the full picture still need to click.
Focus on commercial and transactional queries where AI Overviews are less prevalent. "Best air purifier for mold" might get an overview. "Buy Air Oasis iAdaptAir on sale" won't. Commercial intent queries still drive clicks because the overview can't complete the transaction.
Your analytics say direct traffic is up 15% while organic traffic is down 10%. Your impressions are stable. What's happening?
Users are researching in AI environments, getting exposed to your brand without clicking, then returning later via direct navigation or branded search. You're getting the traffic, but losing the attribution trail that connects initial discovery to eventual conversion.
This makes ROI analysis nightmarish. How do you value content that informs AI Overviews that build brand awareness that eventually drives unattributed traffic? The causal chain exists but the measurement chain is broken.
Some marketers are responding by focusing more on brand metrics—awareness surveys, branded search volume, direct traffic trends—as proxies for content performance when attribution becomes unreliable.
Others are building better tracking for cross-platform research behavior, trying to connect the dots between AI Overview exposure and eventual conversion even when analytics platforms don't naturally surface those relationships.
There's no perfect solution yet. Just increasingly creative approaches to measurement in an environment where the traditional funnel is fragmenting.
Should you stop creating informational content because AI Overviews are eating your traffic? No. But you should recalibrate expectations and measurement.
Informational content is now serving multiple purposes. Direct traffic generation (diminished but not eliminated). AI Overview sourcing (brand building but not traffic driving). Link acquisition (other sites still link to comprehensive resources). Internal linking foundation (supporting commercial pages). Expertise demonstration (for users who do click through).
Measuring success purely by traffic is too narrow. Yet traffic remains important because it's the gateway to conversion. The tension between these realities requires more sophisticated analysis of content performance across multiple dimensions.
Content that historically drove 10,000 monthly visits might now drive 4,000 but appear in 50 AI Overviews and support three commercial pages through internal linking. Is that success or failure? Depends entirely on what you're optimizing for and how you value different outcomes.
AI Overviews are fundamentally changing how search works. That's not speculation—it's observable reality playing out in Search Console data across industries.
You can't optimize your way out of this. You can't title-tag your way back to 2019 click-through rates. The environment changed, and the playbook needs updating.
The companies winning in this new landscape are the ones treating impressions as brand building and clicks as intent signals rather than trying to maximize both simultaneously. They're diversifying beyond informational content into formats that AI can't easily replicate. They're measuring success across multiple dimensions instead of fixating on single metrics that no longer tell the complete story.
If your content strategy still assumes that ranking = traffic = leads, it's time for a conversation. At Winsome Marketing, we help businesses adapt to exactly these kinds of search landscape shifts—building content ecosystems that drive results whether users click through or not. Let's talk about what winning looks like in the AI Overview era. Get in touch and let's audit your content strategy for the zero-click future.
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