2026 AI Overview Presence and Paid Search CPC Statistics

Comprehensive 2026 data compiled from Seer Interactive, BrightEdge, Google Ads Help, Conductor, WordStream, Adthena, and TechCrunch

AI Overview Presence and Paid Search CPC Statistics show that Google search results are now split between classic ad auctions and AI-generated answer layers, which means advertisers can pay the same CPC and still earn fewer clicks. In 2026, the clearest takeaway is that AI Overviews reduce available attention on many research-heavy queries, while brand citation inside the overview can partially offset that pressure. If your search campaigns are holding impressions while clicks get thinner and cost targets get harder to defend, these AI Overview Presence and Paid Search CPC Statistics explain why. That is the same shift behind Demand Local’s view of AI search and GEO: paid efficiency now depends on visibility across the full search experience, not just the ad auction.

Key Takeaways

• AI Overviews are no longer edge-case SERP features. BrightEdge says AI Overviews appeared on roughly 48% of tracked queries by February 2026, while Conductor found AIOs on 25.11% of 21.9 million searches. Even with different datasets, both studies point to a durable search-layer change rather than a temporary experiment.
• Paid CTR compression is real, even when spend discipline stays constant. Seer found paid CTR dropped to 9.87% when an AI Overview was present versus 21.27% when it was not. The implication is practical: keyword performance can weaken without a bidding mistake or a creative failure.
• Brand citation inside the overview matters almost as much as ad quality. Seer’s 2026 update shows informational queries with a cited brand averaged 15.74% paid CTR, compared with 11.19% when the brand was not cited. Search teams now need both auction visibility and source visibility.
• Mid-tail query structure matters more than “conversational search” headlines suggest. Adthena reports more than 60% of ad appearances inside AI Overview environments still happen on 3-4 word queries. That means advertisers should not over-rotate toward only long, chatty prompts.
• CPC planning needs context, not a single blended benchmark. WordStream’s all-industry average CPC of $5.26 is still useful, though AI Overview pressure now changes how often that spend earns attention. This is where real-time campaign measurement matters more than static benchmark chasing.

AI Overview Presence and Paid Search CPC Statistics at a Glance

AI Overview Presence Statistics for 2026

1. AI Overviews appeared on roughly 48% of BrightEdge’s tracked queries by February 2026

The BrightEdge year-one review is one of the clearest indicators that AI Overviews moved from novelty to routine search behavior. For advertisers, that matters because a query can still be commercially useful even when an AI layer sits above both organic listings and ads. Planning search only around ranking position or average CPC misses the reality that half the page experience may now be mediated by an answer engine before the click decision happens.

2. BrightEdge tracked AI Overview presence growing from about 31% in February 2025 to 48% in February 2026

That 12-month BrightEdge timeline shows a steady climb rather than a one-month spike. Search teams should read that as structural behavior inside Google, not temporary volatility. It also explains why marketers who were comfortable with old paid-search baselines in early 2025 started seeing lower click yield later in the year. As AIO prevalence rises, more auctions happen in compressed screen space.

3. BrightEdge says approximately 52% of tracked queries still triggered no AI Overview

The same BrightEdge tracking data is a useful reminder that not every search is AIO-dominated. Paid teams should avoid acting as if the classic SERP has disappeared. Instead, separate query sets into AIO-heavy and non-AIO segments, then benchmark CTR, CPC, and conversion efficiency against each environment. That kind of split pairs well with a first-party Customer Data Portal because it keeps reporting tied to real downstream outcomes rather than a single blended dashboard average.

4. Conductor found 25.11% of 21.9 million analyzed Google searches generated an AI Overview

The Conductor benchmarks report gives a second large-sample reference point from outside BrightEdge’s keyword set. The lower rate does not contradict BrightEdge so much as show how much AIO prevalence depends on the tracked corpus. For practitioners, the lesson is simple: do not borrow a single “AI Overview rate” and apply it everywhere. Industry mix, query intent, and keyword selection all change the benchmark you should use in media planning.

5. BrightEdge reports average AI Overview height at more than 1,200 pixels on desktop

The BrightEdge screen-space analysis helps explain why paid CTR can weaken before CPC visibly changes. When the answer module itself consumes more than a full screen, ads and organic links have to compete with both user satisfaction and physical layout. This is not just a search-ranking issue. It is a visibility issue, and it is one reason omnichannel ad solutions are increasingly used to support demand higher up the journey.

6. Peak monthly AI Overview height reached about 1,340 pixels in December 2025

That BrightEdge layout data shows that AIO compression is not static. Some periods are materially more crowded than others, which means month-over-month performance shifts may reflect page design as much as bidding changes. In practical terms, a campaign can appear to hold position while losing attention. That is why media reviews should be paired with attribution measurement guidance, not evaluated on surface metrics alone.

How AI Overviews Affect Paid Search CTR

7. Paid CTR fell to 9.87% when an AI Overview was present in Seer’s 2024 study

The Seer paid-performance study remains the cleanest confirmed paid-search benchmark in this topic. A 9.87% CTR does not mean the keyword suddenly became irrelevant. It means the click environment changed. Users are getting more of the answer on-SERP, so the ad must now compete with a synthesized response instead of only with neighboring ads and blue links.

8. The same Seer study showed 21.27% paid CTR when no AI Overview was shown

The non-AIO Seer baseline matters because it gives marketers a proper control condition. Without that comparison, teams can misread lower CTR as bad campaign setup. This gap is also why account audits should segment queries by SERP type before creative or bid changes are recommended. A smart paid strategy now starts with environment diagnosis, not only with ad-level optimization.

9. Seer estimated a 53.6% traffic decrease when AI Overviews were present

The Seer traffic-loss estimate translates CTR compression into a budget conversation that executives understand quickly. When traffic drops by more than half on the same set of queries, the issue is not only efficiency. It is demand capture. Advertisers need a broader approach that preserves brand recall across search, social, video, and remarketing while the user is still researching.

10. AI Overviews appeared for 7% of Seer’s paid-search dataset in the 2024 analysis

That 7% AIO incidence rate is easy to dismiss until you combine it with the CTR loss on those terms. A small share of queries can still distort overall account performance if those queries carry high volume, high CPC, or high strategic importance. Teams should not ask only, “How many keywords trigger AIOs?” They should ask which expensive or influential keywords are exposed to them.

11. Those AIO-affected queries represented 2.2% of total impressions in Seer’s 2024 study

The 2.2% impression share gives useful nuance. It tells us the pain is concentrated rather than universal, at least in that dataset. For managers, that means a broad account may still look healthy while a crucial subset of research or comparison terms weakens. This is why reporting should separate discovery-stage intent from bottom-funnel terms instead of averaging everything into one paid-search CPC story.

12. Seer’s 2026 update found paid CTR on AIO-present queries rose to 16.2% in February 2026

The 2026 Seer update suggests the market may be settling into a new normal rather than worsening without end. AIO-present paid CTR is still below non-AIO terms, though it is no longer collapsing at the same pace. That makes 2026 a calibration year. Teams should measure whether stronger intent filtering, creative alignment, and brand citation work can recover enough efficiency before budgets are shifted elsewhere.

13. Seer also found non-AIO paid CTR declined from 26.30% in January 2025 to 21.8% in February 2026

The full-year Seer panel shows that non-AIO terms are not immune to change. Paid search is becoming more competitive even outside AI Overview environments, which is why a flat CPC can still hide weaker click capture. For advertisers, this is where disciplined first-party data strategy becomes valuable. Better audience intelligence helps every dollar works harder even when the visible SERP keeps shifting.

Why Cited Brands Win More Paid Clicks

14. Seer’s 2026 dataset covered 5.47 million tracked queries, 2.43 billion organic impressions, and 296.9 million paid impressions

The scale of the Seer 2026 methodology matters because it makes the directional findings harder to dismiss as niche noise. When a study spans billions of impressions, the citation effect becomes worth operational attention. Paid teams should work with SEO and content teams to identify which high-cost terms also have realistic opportunities for citation gains inside AI Overviews.

15. Informational queries with a cited brand averaged 15.74% paid CTR in Seer’s 2026 study

The brand-cited average is one of the strongest arguments for integrating paid and organic search planning. If the user sees the brand inside the AI explanation and then sees the ad, the click context changes. Trust, familiarity, and message match can all improve. That makes citation work a performance lever, not just an SEO vanity metric.

16. Informational queries with an AI Overview but no brand citation averaged 11.19% paid CTR

That non-cited paid average shows the downside of being adjacent to the answer without being part of it. The advertiser is still paying to appear in the environment, though the brand lacks the credibility boost that comes from being referenced in the summary itself. Teams that only optimize bids miss this asymmetry. Source inclusion and ad inclusion are related, but they are not the same thing.

17. Seer found a 4-plus point paid CTR advantage for cited brands across 2025

The persistent citation premium is not a one-month anomaly. It remained visible across the year, which gives agencies a rational basis for putting AI visibility into search reporting. For managed-service advertisers, this is where channel coordination becomes a differentiator. Paid media, content structure, and authority signals should be reviewed together when the brief is to protect search efficiency.

18. Only about 17% of AI Overview cited sources also ranked in the organic top 10, according to BrightEdge

The BrightEdge citation overlap data is important because it breaks a common assumption. Ranking well still matters, though ranking alone does not guarantee AIO citation. That creates room for advertisers to build source-worthy pages even where they are not dominant in classic rankings. It also explains why SERP visibility strategy now extends beyond position tracking.

19. BrightEdge found roughly 48.7% to 53.1% of AIO-cited sources ranked somewhere in the top 100

The top-100 overlap range gives a more realistic picture of how citations behave. Many cited pages are visible to Google, just not necessarily on page one. That suggests authority, topical fit, and answer structure matter alongside ranking. For advertisers trying to reduce paid dependency, the operational goal is not simply “rank first.” It is to make content clear enough to be reused by AI systems.

Which Queries Trigger the Most AI Overview Ad Competition?

Which queries trigger the most AI Overview ad competition? Seer’s 2026 data shows the highest AIO rates on comparison, question, and price-oriented searches, which means research-heavy mid-funnel queries are the most exposed.

20. Seer found 95.4% of comparison queries triggered an AI Overview

The comparison-query rate is a warning for brands that rely on “X vs Y” traffic as a pipeline source. Those are exactly the terms where AI-generated summaries are most likely to intervene before the click. If comparison pages matter to revenue, paid teams should assume those auctions happen inside an AIO-shaped SERP and plan messaging, landing pages, and remarketing support accordingly.

21. Question queries showed an 85.9% AI Overview rate in Seer’s 2026 analysis

The question-query benchmark helps explain why top-of-funnel paid search is harder to defend than it used to be. Informational intent is exactly where Google is most comfortable answering directly. That does not eliminate paid value, though it changes the role of paid media toward demand shaping, recall, and guided next steps instead of pure initial discovery.

22. Price, cost, and buy queries triggered AI Overviews 83.4% of the time in Seer’s dataset

The price-and-cost query rate matters because these are not purely informational searches. They often sit close to commercial action, which means AI Overview presence can now affect terms that many teams consider safely bottom-funnel. Advertisers should revisit landing-page depth, comparison content, and audience sequencing rather than assuming high-intent terms will remain untouched by AI presentation changes.

23. Informational “near me” queries showed AI Overviews 76.9% of the time

The near-me Seer finding is especially relevant to local and dealer-focused advertisers. It shows Google can layer AI interpretation onto local-intent behavior instead of treating maps and AIOs as separate worlds. For agencies, that makes omnichannel measurement and local-data quality more connected than before, because local discovery can now start inside an AI narrative.

24. Single-word informational queries still triggered AI Overviews 27.3% of the time

The single-word query rate pushes back on the idea that only long conversational searches are affected. Even broad, short inputs can surface AI Overviews, which means query length alone is not a safe planning shortcut. Paid-search CPC forecasting should be tied to observed SERP behavior and intent clusters, not only to legacy keyword taxonomy.

25. Adthena says more than 60% of AI Overview ad appearances happen on 3-4 word queries

The Adthena query report adds a useful paid-media angle to Seer’s findings. The commercial opportunity inside AIO environments still concentrates around concise mid-tail searches, not only around long natural-language prompts. That means teams should keep refining the practical query sets that drive actual budget consumption, while also broadening keyword coverage enough to catch the new intent combinations Google understands contextually.

26. Adthena analyzed 29.1 million plus queries across more than 10 industries

That Adthena study size matters because it shows the mid-tail pattern was not inferred from a tiny slice of data. When large cross-industry analysis points to the same behavior, advertisers can justify testing budgets around AIO-exposed discovery terms rather than treating the whole space as anecdotal. It also gives agencies a basis for explaining CPC pressure without defaulting to account-management blame.

Paid Search CPC Benchmarks in the AI Overview Era

27. WordStream’s latest cross-industry Google Ads benchmark puts average CPC at $5.26

The WordStream benchmark data is still a useful anchor because teams need one common number for planning conversations. The mistake is treating $5.26 as a complete planning model. In an AI Overview environment, equal CPC does not guarantee equal opportunity to win attention. Benchmark CPC should be paired with SERP-shape data, CTR by environment, and actual conversion quality.

28. WordStream reports the average Google Ads CTR at 6.66% in its 2025 benchmark set

The WordStream CTR benchmark helps frame how far some AIO-exposed segments can drift from normal search expectations. A paid CTR of 9.87% may look healthy against a broad benchmark, though it becomes less impressive when the same queries earned 21.27% without AIOs in Seer’s dataset. That is why averages should be used as directional guardrails, not as the only standard for judging search performance.

29. TechCrunch reported that Google began showing sponsored placements inside AI Overviews in the U.S. on mobile in October 2024

The TechCrunch launch coverage is a useful milestone because it marks the point where AIO impact stopped being only an organic-search issue. Once ads moved into the experience, paid teams had to account for new inventory, new context signals, and new measurement blind spots. CPC pressure is now influenced by both auction mechanics and changing placement architecture.

30. Google says existing Search, Shopping, and Performance Max campaigns are automatically eligible to show ads in AI Overviews

The Google Ads Help documentation means many advertisers are already participating in AIO environments without any separate campaign build. That matters for CPC interpretation because placement shifts may occur even when the account structure looks unchanged. Teams should investigate search-term mix, asset quality, and landing-page alignment before assuming higher costs come only from external competition.

31. Google says both the user query and the content of the AI Overview influence ad serving within AIOs

This Google ad-serving guidance changes how advertisers should think about message match. The ad is not just competing on keyword relevance. It is also being judged against the explanatory context created by the AI Overview itself. That makes creative discipline more important, especially for research-stage queries where the user may be looking for the next best step rather than a direct transaction.

Can Ads Appear Inside AI Overviews?

Can ads appear inside AI Overviews? Yes. Google confirms that text and Shopping ads from eligible existing campaigns can appear within AI Overviews when the query and the generated answer both signal commercial relevance.

32. Google says ads in AI Overviews are available in English on mobile and desktop in 12 countries including the U.S. and Canada

The Google availability list is important because it moves the conversation beyond U.S.-only launch assumptions. For cross-market advertisers, AIO ad behavior is now relevant in multiple English-language markets. Teams managing national or franchise campaigns should validate where AIO placements are active before drawing conclusions from blended international account data.

33. Google says text and Shopping ads are the current ad formats eligible to show within AI Overviews

The Google format guidance shows that AIO monetization is still relatively narrow. That limitation matters for planning because not every campaign type can express itself equally inside the format. It also reinforces why broader omnichannel ad solutions still matter. Search can capture explicit intent, while video, social, audio, and CTV/OTT help create familiarity before the high-friction click moment.

34. Google says advertisers cannot directly target only AI Overview placements

The Google targeting FAQ confirms that AIO inventory is not a standalone placement control today. That creates a measurement challenge: advertisers can be exposed to the environment without being able to isolate it cleanly in setup. In practice, account teams need stronger test design, more patient read windows, and a tighter connection between media signals and sales outcomes.

35. Google says there is currently no segmented reporting for ads served within Search AI Overviews

The Google reporting limitation is one of the biggest reasons CPC analysis can feel ambiguous right now. If performance changes after AIO expansion, the interface does not cleanly show the placement-level cause. That is exactly where a managed service partner with non-modeled sales ROI can help teams avoid overreacting to partial data and instead judge search performance against actual business outcomes.

What These Statistics Mean for Advertisers and Agencies

These AI Overview Presence and Paid Search CPC Statistics point to a search environment where visibility, trust, and measurement are now linked more tightly than before. If your brand operates with mature reporting, strong content depth, and good first-party data, AI Overviews create a coordination problem you can solve. If your reporting is still fragmented, the same change can make paid-search CPC feel less predictable than it really is because the interface hides too much of the context.

For lean in-house teams, the priority is segmentation. Split AIO and non-AIO terms, identify comparison and question queries, and benchmark them separately. For agencies, the opportunity is broader: connect paid, content, and brand-visibility work into one client narrative so data chaos into strategic cohesion becomes a reporting reality instead of a slogan. For multi-location and dealer-focused marketers, the combination of real-time inventory marketing and search visibility diagnostics is likely to matter more as local-intent queries keep shifting.

Frequently Asked Questions

How often do AI Overviews appear in Google search results?

AI Overview frequency depends on the dataset, though current large-sample studies show they are common enough to affect planning. BrightEdge found AIOs on roughly 48% of tracked queries by February 2026, while Conductor found them on 25.11% of 21.9 million analyzed searches. The safe interpretation is that AIO exposure is now material for most advertisers, even if the exact rate varies by industry and keyword mix.

Do AI Overviews lower paid search click-through rates?

Yes, the strongest confirmed evidence says they do. Seer found paid CTR fell to 9.87% when an AI Overview was present, versus 21.27% when it was not, in its 2024 paid-search analysis. Seer’s 2026 update suggests the decline has stabilized somewhat, though AIO-present terms still underperform non-AIO terms on average.

Do brands cited in AI Overviews get better paid CTR?

Current evidence says yes. Seer’s 2026 update found informational queries with a cited brand averaged 15.74% paid CTR, compared with 11.19% when the brand was not cited. That means citation work can support paid efficiency, especially on research-heavy terms where the user sees both the AI summary and the ad.

Are AI Overviews making Google Ads CPCs go up?

The cleaner answer is that AI Overviews change the economics around CPC rather than mechanically raising every click price. WordStream’s all-industry benchmark still puts average CPC at $5.26, though lower click yield and denser SERP competition can make the same CPC feel more expensive. Teams should evaluate CPC alongside AIO prevalence, CTR by environment, and conversion quality.

What keyword types trigger AI Overview competition most often?

Comparison, question, and price-oriented queries are among the most exposed. Seer found AI Overviews on 95.4% of comparison queries, 85.9% of question queries, and 83.4% of price, cost, and buy queries. Adthena also found that more than 60% of AIO ad appearances still happen on 3-4 word searches, so mid-tail commercial phrasing remains central.

Can advertisers run ads inside AI Overviews?

Yes, though control is still limited. Google says eligible text and Shopping ads from existing Search, Shopping, and Performance Max campaigns can appear within AI Overviews when both the query and the generated answer suggest commercial relevance. Google also says advertisers cannot opt into only AIO placements or get segmented AIO placement reporting today.

Want to put these insights into action? Demand Local helps brands and agencies run precision-driven campaigns across search, social, CTV/OTT, video, audio, Amazon, and more with first-party data activation and non-modeled sales ROI. Get in touch →