How AI Overviews Are Changing Click-Through Rates

For twenty years, the SEO industry operated on one basic assumption: rank #1, get the click. That assumption is breaking down. Since Google rolled out AI Overviews in 2024 and expanded them across most of the world's search traffic through 2025 and 2026, multiple independent studies — using different methodologies, different keyword sets, and different time windows — have all reached the same broad conclusion: when an AI Overview appears above the organic results, fewer people click through to any website at all, and the clicks that do happen increasingly go to whichever source Google's AI chose to cite, not whichever page ranks highest.

This article walks through what the data actually shows, where studies disagree and why, and what it practically means for how you should be measuring and optimizing SEO performance going forward.

What AI Overviews Are, Briefly

AI Overviews are Google's AI-generated summaries that appear above traditional organic results for many searches, synthesizing an answer from multiple web sources and — usually — linking out to a handful of cited pages. They function similarly to the Featured Snippets that preceded them, but pull from more sources and produce a longer, more conversational answer. If you're new to the mechanics, our guide on zero-click SEO and optimizing for SERP features covers the broader category AI Overviews belong to, and how AI is changing SEO covers the wider shift beyond just this one feature.

The Headline Numbers: How Much Have Clicks Actually Dropped

No single number captures the full picture, because different research teams have measured this differently — but every major study points the same direction.

Ahrefs' analysis of 300,000 keywords compared click-through rates on informational keywords with and without an AI Overview present, using aggregated Google Search Console data. After forecasting what CTR "should" have been without AI Overviews, the analysis found that the presence of an AI Overview correlated with a roughly 34.5% lower average click-through rate for the top-ranking page compared to similar informational keywords without one.

A 2026 field experiment by researchers Agarwal and Sen took a more controlled approach, randomly assigning over a thousand U.S. participants to see or not see AI Overviews during a two-week search period. When AI Overviews appeared, organic clicks dropped 38%, and the share of zero-click searches jumped sharply within that same group — a rare case of experimental (rather than purely observational) evidence pointing to the same effect.

Pew Research Center's behavioral study found an even starker gap in click behavior: people clicked a traditional search result on only 8% of pages where an AI summary appeared, compared to 15% when it didn't — and clicked a source link inside the AI summary itself just 1% of the time, meaning the citation is shown far more often than it's actually followed.

A position-level analysis of 21.7 million Google Search Console impressions, published by Visionary Marketing in mid-2026, found position 1 organic CTR had fallen from roughly 39.8% pre-AI Overviews to about 27.6% by 2026 — a drop of just over 30% — with positions 2 through 5 losing an even larger 33–38% share of their prior clicks.

Taken together, most rigorous estimates cluster in the 30–40% CTR reduction range for the top organic position when an AI Overview is present, though some industry compilations report figures as high as 60% depending on how "with AI Overview" and "without" are defined and which time period is sampled.

Why the Studies Disagree

If you've seen wildly different numbers floating around — some sources cite a "34% drop," others say "60%" — it's not necessarily because one is wrong. A few real methodological differences explain most of the spread:

• Time period matters enormously. AI Overview click behavior in early 2024 (when the feature was new and less trusted) looks different from mid-2026 data, and the feature itself has changed — Google has adjusted formatting, citation behavior, and which queries trigger it multiple times.
• Query mix matters. Studies that isolate purely informational queries tend to show different effects than studies that blend in commercial or navigational queries, since AI Overviews trigger on informational intent far more often — one widely cited analysis found roughly 99.2% of keywords that trigger AI Overviews are informational in intent.
• "Present vs. absent" isn't the only comparison worth making. Some of the most useful recent research (discussed below) splits the "AI Overview present" bucket further into "cited" versus "not cited," which reveals a bigger and more actionable story than a single before/after number.
• AI Overview prevalence itself is a moving, disputed number. Different trackers report AI Overviews appearing anywhere from roughly 15% to over 65% of queries depending on the keyword sample, device mix, and tracking methodology used — so "how often this happens to you" varies by industry and query type far more than any single average suggests.

Given this spread, the safest practical takeaway isn't a specific percentage — it's the consistent direction: total organic clicks to the open web are declining on queries where an AI Overview appears, and the effect is measurable in the tens of percent, not a rounding error.

Citation vs. No Citation: The New CTR Divide

The most useful recent data doesn't just compare "AI Overview vs. no AI Overview" — it compares what happens to a page's CTR depending on whether that page is actually cited inside the Overview. Seer Interactive's ongoing tracking study found a clear three-way split:

• Searches with no AI Overview: roughly 3.3% average CTR
• Searches with an AI Overview that cites your page: roughly 2.1% average CTR
• Searches with an AI Overview that doesn't cite your page: roughly 0.9% average CTR

In other words, being cited inside the AI Overview more than doubles your click-through rate compared to ranking below an AI Overview that ignores your page — even though both scenarios still trail a search with no AI Overview at all. This reframes the strategic question: the old goal was "rank #1." The current goal is "be one of the pages the AI Overview actually cites," because that citation now functions like a new, higher-value ranking position in its own right.

This shift is also why building genuine topical authority matters more than ever — see our guides on how content marketing boosts SEO and how to use content silos for on-page SEO for building the kind of comprehensive, well-structured content that AI systems are more likely to pull from.

Is the Decline Leveling Off?

There's early, tentative evidence the freefall in CTR may be stabilizing rather than continuing indefinitely. Seer Interactive's tracking found that after bottoming out at around 1.3% in December 2025, organic CTR on AI Overview searches climbed to about 2.4% by February 2026 — an 85% jump in two months. At the same time, CTR on searches without an AI Overview has been rising too, from roughly 2.8% in early 2025 to 3.8% by early 2026, suggesting the pool of "no AI Overview" queries increasingly skews toward searches where people genuinely want to click through and compare options, rather than get a quick factual answer.

It's too early to call this a durable recovery rather than short-term noise in a single data provider's panel, and other trackers covering the same period (like SparkToro's zero-click analysis, which put the U.S. zero-click rate at roughly 68% in early 2026, up from about 60% in 2024) still show the broader zero-click trend climbing. The realistic read: the rate of decline may be slowing in some segments, but the underlying shift toward fewer organic clicks per search has not reversed.

What This Means for How You Measure SEO Success

If you're still reporting SEO performance purely on rankings and raw click volume, you're likely to draw the wrong conclusions from a declining trend line. A few adjustments matter:

• Track impressions and rankings separately from clicks. A page can hold or improve its ranking position while losing clicks purely because an AI Overview now sits above it — that's not a content or technical problem, and treating it like one leads to unnecessary rewrites.
• Segment reporting by query type. Informational queries are far more likely to trigger an AI Overview than transactional or branded queries, so blending them into one CTR average hides where the real impact is concentrated.
• Start tracking AI Overview citations as their own metric, not just rankings. Tools like Semrush and Ahrefs now let you filter for keywords where your domain is cited inside an AI Overview versus keywords where it isn't — that gap is now one of the most actionable reports in technical SEO.
• Revisit what "success" means for top-of-funnel content. If a query increasingly resolves entirely inside an AI Overview, chasing more clicks on that exact query may be a losing battle — brand visibility and citation, not click volume, becomes the realistic win.

Our guides on how to measure SEO success and the 10 most important SEO metrics are worth revisiting with this lens — several of the metrics that mattered most in 2020 need reweighting for a search results page that increasingly answers the question itself.

How to Adapt Your SEO Strategy

1. Write citation-ready answer blocks. Lead each major section with a direct, self-contained answer in the first sentence or two — the kind of passage that reads clearly even if it's lifted out of your page entirely and placed into a synthesized summary. This is consistently the single highest-leverage change cited across current AI Overview optimization research.

2. Use question-shaped headings that mirror real queries. A heading like "How much does local SEO software cost?" maps more directly to how AI systems match passages to questions than a vague heading like "Pricing."

3. Add information that doesn't already exist elsewhere. AI Overviews synthesize from multiple sources and have little reason to cite a page that just restates what's already been said. Original data, first-hand testing, and genuinely new angles are what earn a citation instead of being silently absorbed into someone else's summary.

4. Keep structured data and technical fundamentals solid. An AI Overview can only cite pages Google already trusts enough to rank reasonably well for the query — see our guide on structured data and rich snippets and run a technical SEO audit to confirm crawlability and schema aren't quietly excluding you from consideration.

5. Refresh cited pages regularly. Content that earns a citation once isn't guaranteed to keep it — Google's models get updated, and stale statistics or outdated examples are an easy reason to lose a citation to a more current competitor page.

6. Don't abandon title tag and meta description optimization. For the growing share of queries that still show mostly traditional results, a compelling, click-worthy title still matters — see how to improve CTR with SEO titles for the fundamentals that haven't changed.

7. Track AI visibility as a distinct discipline from traditional rank tracking. As AI-driven discovery grows alongside classic search, understanding the best APIs for AI visibility is becoming as relevant as a traditional rank tracker was a decade ago.

Free Tools to Support AI-Era SEO

These BrightSEOTools utilities help with the fundamentals that still determine whether you're even eligible to be cited in the first place:

• Website SEO Score Checker — a quick baseline health check before diagnosing a CTR drop
• Meta Tag Analyzer — confirm your title and description are still optimized for the traditional results that still appear alongside AI Overviews
• SERP Checker — check what's actually showing on a given query, including whether an AI Overview is present
• Keyword Research Tool and Related Keywords Finder — identify the follow-up questions worth answering directly in your content
• Google Cache Checker and Spider Simulator — confirm a page is fully crawlable, since technical issues can quietly exclude a page from the citation candidate pool
• Mobile-Friendly Test — AI Overviews render more compactly on mobile, making page usability on small screens more important, not less

For a broader view of how generative AI is reshaping the field, see how AI is changing SEO and does AI-generated content hurt your SEO.

About This Guide

This guide synthesizes findings from Ahrefs' 300,000-keyword CTR analysis, Seer Interactive's ongoing AI Overview CTR tracking study, Pew Research Center's behavioral research, a randomized field experiment on AI Overview exposure, and independent position-level CTR research, current as of September 2026. Where studies disagree, we've noted the methodological reasons rather than presenting a single number as definitive. This guide is maintained by the BrightSEOTools editorial team, which also builds and maintains 40+ free SEO and diagnostic tools. Read more about our editorial approach on our About page.

FAQs

1. How much do AI Overviews reduce click-through rates? 

Estimates vary by study and time period, but most rigorous research puts the reduction for the top organic position somewhere in the 30–40% range when an AI Overview is present, with some industry compilations reporting drops as high as 60% depending on methodology and query mix.

2. Do people ever click the source links inside an AI Overview? 

Rarely. Pew Research Center found people clicked a source link inside an AI summary in only about 1% of visits, even though the citation is displayed prominently — most people simply read the summary and consider the query resolved.

3. Is being cited in an AI Overview better than ranking #1 organically? 

Being cited inside the Overview generally produces a meaningfully higher click-through rate than ranking below an Overview that doesn't cite your page — some tracking shows citation more than doubling CTR compared to a non-cited position — though both scenarios still trail a traditional search with no AI Overview at all.

4. Are AI Overview click-through rates recovering? 

Some tracking (notably from Seer Interactive) shows early signs of recovery in early 2026 after CTR bottomed out in late 2025, but broader zero-click search trends from other data providers still show growth, so it's too early to call this a confirmed, lasting reversal.

5. Which types of queries are most affected by AI Overviews? 

Informational queries are affected far more than commercial or navigational searches — one widely cited analysis found that over 99% of keywords triggering AI Overviews carry informational intent, meaning "how-to," definitional, and comparison queries see the largest CTR impact.

6. Should I stop optimizing title tags and meta descriptions? 

No. Many queries still show primarily traditional results, and a strong, click-worthy title and description remain one of the most direct ways to influence CTR on searches where an AI Overview doesn't appear or doesn't dominate the page.

7. How can I tell if my page is being cited in AI Overviews for my target keywords? 

Several SEO platforms, including Semrush and Ahrefs, now offer reporting that filters keywords by AI Overview presence and whether your domain is among the cited sources — this is worth checking regularly alongside traditional rank tracking.

8. Does this mean SEO is becoming less valuable? 

Not less valuable — different. The fundamentals (crawlability, authority, useful content) still determine whether you're eligible to be cited at all, but success now depends more on earning a citation and less purely on holding the #1 organic position.

9. What's the difference between AI Overviews and Featured Snippets for CTR purposes? 

Featured Snippets pulled a single passage from one source and generally still drove a click to verify or learn more. AI Overviews synthesize from multiple sources into a more complete answer, which more often fully resolves the query and removes the need to click through to any single source at all.

10. How often should I re-check my AI Overview citation status? 

Because AI Overview citations are non-deterministic and can shift as Google updates its underlying models, checking on a recurring schedule — monthly at minimum, or after any major content refresh — is more reliable than treating a single citation check as a permanent result.