A twelve-month analysis of Google AI Overviews (AIO) spanning February 2025 to February 2026 reveals a search landscape shifting faster than most businesses have prepared for. AI Overviews now trigger on nearly half of all tracked queries — a 58% increase year over year. In nine specific industries, the growth has been especially pronounced. Education queries went from triggering AI Overviews 18% of the time to 83%. B2B Tech climbed from 36% to 82%. Restaurants went from 10% to 78%.
These are not projections. They are measurements drawn from BrightEdge’s Generative Parser, which tracked AI Overview presence across industry-specific keyword sets on a daily basis over a full year. The data shows where AI search is accelerating, how it is changing the physical layout of Google’s results pages, and — critically — how AI Overview citations differ from traditional organic rankings in ways that require marketers and SEO professionals to rethink their visibility strategies.
This post examines every dimension of that data: the nine industries, the citation gap between AIO and organic, the screen-space implications, the CTR impact, and the specific actions that businesses can take to maintain and improve visibility across both search channels.
The 58% Growth Figure Needs Context
The headline number — 58% growth in AI Overview presence year over year — is significant, but it is the surrounding data that makes it strategically meaningful.
In February 2025, AI Overviews appeared on approximately 31% of tracked queries. By February 2026, that figure had reached 48%. The growth was not linear; it accelerated through mid-2025, crossed the 40% threshold in June 2025, and pushed toward 50% by year end. At peak periods, AI Overviews appeared on more than half of all tracked queries.
But the equally important fact is the inverse: approximately 52% of queries still trigger no AI Overview at all. Classic, ten-blue-link search results remain the majority experience across all tracked keywords. This is not a footnote. It means that traditional organic SEO — content quality, technical health, topical authority, link equity — remains the foundation of search visibility for more than half of all searches.
The practical reality for most businesses is that they are operating in a bifurcated environment: some of their queries return AI-generated summaries at the top of the page, and many others still return a traditional ranked results page. Understanding which queries fall into which category — and what drives each — is now a core function of search strategy.
What accelerated AI Overview adoption so sharply in 2025? Part of the answer lies in Google’s expansion of the product to more languages and regions. In May 2025, Google extended AI Overviews to users in 200 countries and 40 languages, including Arabic, Chinese, Malay, and Urdu. The product also matured technically, becoming faster and more reliable. Google’s own user satisfaction metrics — which appear to influence when AI Overviews are triggered — showed that users in sectors like healthcare, education, and B2B technology responded positively to AI-summarized answers.
The OpenAI data provides an interesting parallel data point: over 5% of all ChatGPT conversations are healthcare-related, and 25% of ChatGPT’s global weekly active users search the platform with health-related questions. This suggests that demand for AI-assisted answers to complex, sensitive questions — not just in Google, but across all AI platforms — is a structural trend, not a passing feature preference.
How AI Overviews Actually Work: FastSearch and Query Fan-Out
Understanding the mechanism behind AI Overviews explains a great deal about why citation patterns behave as they do — and why ranking number one organically does not guarantee inclusion in an AI Overview.
Google’s AI Overviews use a process known internally as FastSearch, which is connected to a broader query fan-out technique. When a user submits a conversational or complex query, Google does not simply retrieve the top organic result. Instead, it breaks the original query into multiple sub-queries, retrieves the top three organic results for each of those sub-queries via FastSearch, and then synthesizes those results into a single AI-generated answer.
The result is that a single user query might trigger five, ten, or even more distinct sub-queries under the hood, each pulling from different sets of organic results. The sources cited in the final AI Overview are drawn from this expanded, multi-query retrieval set — not from the organic rankings that appear on the results page for the original query.
This architecture explains one of the most important findings in the BrightEdge data: only about 17% of sources cited in AI Overviews also rank in the organic top 10 for the same query. Roughly five out of every six AIO citations come from content that does not appear on page one of traditional search results.
Google has confirmed that both AI Overviews and AI Mode may use the query fan-out technique, describing it as issuing “multiple related searches across subtopics and data sources to develop a response.” The implication is that AI Overview visibility is a function of content relevance across a broad topic space, not just ranking authority for a single keyword. A page that ranks eighth for a primary keyword but is highly relevant to a sub-query may be cited in AI Overviews more frequently than the top-ranked page.
This does not mean organic ranking is irrelevant. The BrightEdge data shows that broader overlap — sources ranking somewhere in the top 100 results — has grown from approximately 49% to 53% over the year. The overlap between AIO citations and organic rankings is increasing, but it is growing from outside the top ten. Content that ranks on pages two through ten is increasingly feeding AIO results. The top-ten overlap, however, has been flat for months, at around 17%.
The 9 Industries Experiencing the Strongest AIO Growth
The aggregate 58% growth figure conceals dramatic variation by industry. Each of the nine industries identified in BrightEdge’s research has its own trajectory, driven by different user behaviors, Google’s content trust standards, and the nature of queries in each vertical.
Healthcare
Healthcare entered the measurement period already at 72% — meaning nearly three-quarters of healthcare queries triggered an AI Overview before the year even began. By December 2025, that figure had reached 88%. Healthcare’s elevated AIO presence reflects its alignment with what Google calls conversational information discovery: patients and caregivers are submitting complex, multi-part questions that search engines have historically answered imperfectly with lists of links.
The high baseline also reflects Google’s YMYL (Your Money or Your Life) framework, under which healthcare content is subject to elevated quality standards. Google appears to lean heavily on sources that already rank well organically in this vertical. Healthcare has the highest citation overlap between AIO and organic top 10 of any industry — approximately 24% — suggesting that Google’s trust signals for healthcare content are more tightly coupled to established ranking authority than in other sectors.
A Brookings Institution survey found that 53% of healthcare professionals now use AI. Combined with the OpenAI data showing a quarter of ChatGPT users engaging with health content weekly, this points to healthcare as a sector where AI-assisted search is meeting genuine user demand. For healthcare publishers and providers, the message is clear: AI Overview visibility is tightly linked to existing organic authority, and building that authority through E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the path to both channels.
Education
Education saw the most dramatic year-over-year percentage change of any tracked industry. AI Overviews appeared on 18% of education queries in May 2025. By December 2025, they appeared on 83% — a 65-percentage-point increase in a single year. This growth reflects how well AI-synthesized answers serve the educational content format: learners asking “what is,” “how does,” and “explain the concept of” queries are well served by structured, conversational responses.
Citation overlap between AIO and organic top 10 in education currently sits at approximately 23%, down slightly from 26.9% a year ago. This decline in overlap — even as AIO presence surged — suggests that as Google expanded AI Overviews to more education queries, it drew on a wider content base, including material that does not rank on page one. Educational content creators should note that deep, topic-specific coverage and clear structured answers are likely influencing AIO inclusion independently of traditional ranking signals.
B2B Technology
B2B Tech moved from 36% to 82% AIO presence over the year — a gain of 46 percentage points. Technology is inherently explanatory; enterprises and procurement professionals searching for software solutions, infrastructure comparisons, and emerging technology concepts generate the kind of informational queries that AI Overviews handle effectively.
Citation overlap in B2B Tech sits at approximately 22.6%, down modestly from 23.9% a year ago. This slight decline in overlap parallels education: as AIO coverage expanded to more B2B Tech queries, Google pulled from a broader content pool. B2B technology marketers should be aware that technical depth, specificity, and the ability to explain complex topics clearly are likely stronger AIO inclusion signals than keyword rankings alone.
Insurance
Insurance grew from approximately 17% to 63% AIO presence — a significant jump driven in part by the explanatory nature of insurance queries. Consumers researching coverage options, comparing policy types, or understanding terms are submitting high-information-need queries that align well with AI summarization.
Insurance is also a YMYL category, and Google applies elevated quality standards here as it does with healthcare and finance. Citation overlap is approximately 22.4%, similar to healthcare and B2B Tech, suggesting that Google’s trust-based selection in this regulated, high-stakes category favors established, authoritative sources.
Entertainment
Entertainment presents one of the most striking data stories in the BrightEdge research. A year ago, top-10 citation overlap for entertainment was just 3.2% — meaning AI Overviews were pulling almost entirely from sources outside the first page of organic results. By early 2026, that overlap had grown to 18.5%, a 15-percentage-point increase.
This growth in alignment between AIO citations and organic rankings suggests that Google’s AI systems have matured in how they handle entertainment queries, increasingly drawing from established, ranked sources. Meanwhile, the percentage of entertainment AIO citations coming from sources outside the top 100 dropped from 92.2% to 46.6% — a dramatic narrowing of the gap between AIO content and organically ranked content.
Travel
Travel AIO growth mirrors the broader consumer behavior shift: travelers increasingly use conversational AI search to plan trips, compare destinations, and evaluate logistics. The BrightEdge data shows Travel’s top-10 citation overlap growing from 5.7% to 17.7% — nearly tripling in a year.
The sector is also grappling with structural disruption. Tripadvisor, which built its business on capturing search traffic for travel queries, has publicly acknowledged changing its marketing approach as AI Overviews answer travel queries directly, reducing the need for users to click through to third-party platforms. Travel businesses that depend on informational content to drive traffic — destination guides, hotel comparisons, travel tips — are directly exposed to this shift.
eCommerce
eCommerce presents a nuanced picture. While BrightEdge’s data shows that eCommerce is among the nine industries seeing AI Overview expansion, other research — particularly from WordStream and Search Engine Land — has found that transactional and product-specific queries are less likely to trigger AI Overviews, with AIOs appearing on as few as 4% of eCommerce searches in some datasets.
The distinction appears to be between informational eCommerce queries (product comparisons, buying guides, “best X for Y” searches) and transactional queries (adding to cart, product-specific searches). AI Overviews are overwhelmingly oriented toward informational intent — nearly 100% of AIO-triggering queries are informational according to Ahrefs data. For eCommerce brands, this means that content marketing assets — buying guides, product education content, comparison pages — are more likely to appear in AI Overviews than product listings.
Citation overlap in eCommerce grew from 2.9% to 13.4% year over year, but 61.5% of AIO citations still come from sources outside the organic top 100. This is one of the widest gaps in the data, suggesting that AI Overviews in eCommerce contexts draw on a very different content ecosystem than the pages that rank in traditional product search.
Finance
Finance has the lowest top-10 citation overlap of any tracked industry: approximately 11.3%. Nearly nine out of ten AIO citations in finance come from sources outside the first page of organic results. This makes finance the vertical with the greatest divergence between traditional organic SEO performance and AI Overview visibility.
This may reflect the regulatory and liability sensitivity of financial content. Google applies YMYL standards to finance as it does to healthcare, but the citation behavior suggests that AI Overviews in finance draw from a more distributed set of sources rather than concentrating on the established financial media publishers that dominate organic rankings. For finance brands, organic SEO and AIO visibility may require significantly different content strategies.
Restaurants
Restaurants may be the most surprising entry on the list. Restaurant queries went from triggering AI Overviews 10% of the time to 78% — a 68-percentage-point increase that makes it one of the fastest-growing verticals in the dataset.
What explains this growth? The BrightEdge analysis raises the possibility of a content gap: restaurant and local food discovery queries may represent an area where AI search is filling a research function that reviews platforms and restaurant websites have not adequately served. Users asking about cuisine types, dining experiences, dietary options, and neighborhood recommendations may be finding AI-summarized answers more useful than the standard SERP of restaurant review links.
Citation overlap in restaurants is the lowest of the nine industries at 9.3%, with 76% of AIO citations coming from outside the organic top 100. This suggests that the sources Google uses to answer restaurant queries are very different from the review aggregators and restaurant websites that dominate organic results.
AI Overviews Are Physically Changing the Search Page
One dimension of the AI Overview expansion that is easy to overlook in discussions focused on keyword percentages is the physical layout change: AI Overviews are now occupying more screen space than ever before.
BrightEdge’s daily tracking of AIO pixel height shows that the average AI Overview now exceeds 1,200 pixels in height, up from approximately 1,050 pixels a year ago — a 15% increase year over year. The peak monthly average reached 1,340 pixels in December 2025. A standard desktop viewport measures approximately 900 pixels.
The arithmetic is straightforward: when an AI Overview appears, it now consumes more than the entire visible screen before a user scrolls. The first organic search result sits completely below the fold. A user viewing a search results page where an AI Overview has triggered will see no traditional organic listings without scrolling down.
This layout reality is one of the primary mechanisms through which AI Overviews affect click-through rates, and it operates independently of whether a user reads the AIO or finds it useful. The organic results are simply not visible without deliberate action by the user.
On mobile — where Ahrefs data shows 81% of queries that trigger AI Overviews are conducted — the screen displacement effect is even more pronounced. AIOs take up approximately 48% of the mobile screen compared to 42% on desktop, according to Botify’s 2024 Q4 AIO report.
What the Citation Gap Means for Search Strategy
The 17% overlap finding — that only about one in six sources cited in AI Overviews also ranks in the organic top 10 — is perhaps the most strategically significant data point in the BrightEdge report. It establishes that AI Overview visibility and organic ranking are related but distinct phenomena, with their own content signals, their own success criteria, and their own optimization paths.
The practical implication is that a business can be ranked first organically and still not appear in AI Overviews. Conversely, a business with content ranking on page three or four of organic results can be cited prominently in AI Overviews if that content is well-structured, topically comprehensive, and aligned with the sub-queries that Google’s FastSearch mechanism retrieves.
Several data points reinforce this. Ahrefs research has found that 40% of sources shown in AI Overviews would rank in positions 11 to 20 on the SERP rather than the top ten. The top 50 domains on Google account for nearly 30% of all AIO mentions, suggesting that domain authority plays a role — but the remaining 70% of citations come from a very wide range of sources, including specialist sites, niche publishers, and content that wouldn’t typically be considered top-tier by organic ranking standards.
The broader citation overlap data (sources ranking anywhere in the top 100) has grown from 49% to 53% over the year, indicating that AI Overviews are gradually becoming more aligned with the organic ecosystem. But the pace of alignment is slow, and the majority of AIO citations continue to come from outside traditional first-page search results.
The CTR Impact: What the Data Shows
The click-through rate effects of AI Overviews have been studied across multiple methodologies, and the results consistently show pressure on organic CTR — though the magnitude varies significantly by dataset, query type, and how measurement is conducted.
Seer Interactive’s September 2025 study found organic CTR plummeted 61% for queries with AI Overviews present, dropping from 1.76% to 0.61%. Ahrefs’ December 2025 analysis found that AI Overviews reduce the organic click-through rate for position-one content by 58%. Pew Research’s March 2025 analysis found that Google users who encountered an AI summary were statistically less likely to click on links to other websites than users who saw standard search results.
SparkToro’s zero-click research puts 58% of Google searches at zero clicks — users who get their answer directly from the SERP without visiting any external site. Gartner’s projection that organic CTR will decrease by 25% overall by 2026 has taken on additional credibility as the AI Overview rollout has accelerated.
However, the CTR story is not uniformly negative. WordStream’s data shows that 63% of businesses reported that Google AI Overviews have positively impacted their organic traffic, visibility, or rankings since the May 2024 rollout. When a branded result is cited within an AI Overview, CTR for that brand can actually increase. The citation itself is a form of endorsement that drives higher-quality clicks from users who have already been pre-qualified by the AI summary.
The nuance matters. Businesses that appear as cited sources within AI Overviews may see traffic quality improve even if volume changes. Users who click through after reading an AI Overview have already received a summary answer and are clicking for deeper information — a higher-intent interaction than a random click from a blue link. This is a qualitatively different type of traffic, and measuring its value requires looking beyond raw CTR.
How to Optimize Content for AI Overview Visibility
The BrightEdge citation data, combined with Google’s own published guidance on AI search performance, points to a set of content and technical practices that increase the probability of being cited in AI Overviews. These are not guaranteed paths — AI Overview citations are probabilistic, not deterministic — but they reflect what the data shows about how Google selects content for inclusion.
Structure content around direct answers. Google’s FastSearch mechanism retrieves the top three organic results for sub-queries generated by query fan-out. Pages that lead with direct, complete answers to specific questions are more likely to be retrieved as relevant to a sub-query. The “Atomic Answer” framework — placing a concise 40-to-60-word answer directly under each major heading — has been cited by multiple practitioners as an effective structural approach.
Target long-tail and informational queries. Ahrefs data shows that nearly 100% of AI Overview-triggering keywords are of informational intent. Queries with eight or more words are seven times more likely to trigger an AI Overview than shorter queries. Queries containing technical terminology or industry-specific language are 48% more likely to trigger an AI Overview. Content that addresses specific, detailed questions in the language that experts use has a structural advantage for AIO citation.
Build topical depth, not just keyword coverage. Because AI Overviews draw from the sub-query ecosystem rather than a single keyword ranking, topical authority across a subject area is more valuable than ranking for individual terms. A site that comprehensively covers a topic space — addressing the full range of questions that users ask about a subject — is more likely to be retrieved across the multiple sub-queries that any single AI Overview generation involves.
Implement structured data markup. Schema markup for FAQ, HowTo, Article, and other content types helps Google understand the structure and purpose of content. Pages with clear hierarchical structure — using proper heading levels, bulleted lists for enumerated information, and tables for comparative data — are more easily parsed by the systems that generate AI Overviews.
Prioritize E-E-A-T signals, especially in YMYL categories. In healthcare, finance, insurance, and legal content, Google’s E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework applies at a higher standard. Author credentials, citing primary sources, institutional affiliations, and factual accuracy — verifiable claims backed by data — all contribute to the trust signals that influence AIO inclusion in sensitive categories.
Keep content current. AI Overviews are generated from the organic content ecosystem, which means freshness matters. Outdated content that no longer accurately reflects the state of a topic is less likely to be cited. Regular content audits to update statistics, replace outdated guidance, and refresh examples are particularly important in fast-moving categories like technology, finance, and healthcare.
Build domain authority and citation patterns. The top 50 domains on Google account for nearly 30% of AIO citations, and broader domain authority correlates with AIO inclusion. Earning authoritative backlinks, generating press coverage, being cited by other high-authority sources, and building a track record of accurate, well-sourced content all contribute to the trust profile that makes a domain more likely to be cited in AI Overviews.
Optimize for AI platforms beyond Google. OpenAI’s ChatGPT, Perplexity, and other AI platforms use their own retrieval mechanisms to cite sources. Research from Profound analyzing AI platform citation patterns across ChatGPT, Google AI Overviews, and Perplexity from August 2024 to June 2025 found distinct citation preferences across platforms. A comprehensive AI visibility strategy includes monitoring and optimizing for each platform’s specific citation behavior, not just Google’s.
The Continuing Role of Organic Search
The most important number in the BrightEdge report may not be 58% — the AIO growth rate — but 52%: the share of queries that still trigger no AI Overview at all.
For more than half of all searches, the user experience remains exactly what it was before AI Overviews existed: a ranked list of blue links. The classic organic SERP is still the dominant format across the majority of queries. In local search, it remains even more dominant, with AI Overviews appearing on only about 7% of local queries according to Ahrefs.
This matters for how businesses allocate their SEO investments. The growth of AI Overviews is real and significant, but it has not displaced organic search — it has added a second visibility channel alongside it. Businesses that abandon or de-prioritize organic SEO investment in response to AIO growth are making a strategic error based on a misreading of the data. The correct reading is that organic SEO remains essential while AIO optimization has become an additional priority.
The trend line, however, is clear. AIO presence grew from 31% to 48% in twelve months. If that growth rate continues — which is not guaranteed but is the current trajectory — AI Overviews will trigger on the majority of queries within the next year or two. The window to build the topical authority, content depth, and E-E-A-T signals that drive AIO citation is open now, while organic search still functions as the majority experience. Waiting until AI Overviews dominate the SERP to begin optimizing for them means building that foundation under competitive pressure.
The BrightEdge data also shows that AIO citations are gradually aligning more closely with organic rankings over time — particularly in Travel, Entertainment, and eCommerce, where overlap has grown most dramatically. This convergence suggests that doing the foundational work of earning strong organic rankings is not wasted effort in the AIO era. It is increasingly correlated with AIO visibility, even if the correlation is partial and industry-specific.
What is changing is not whether organic rankings matter, but what rankings mean as the full measure of search success. Visibility in AI Overviews — being cited as a source, having your content synthesized in the AI-generated summary — is a distinct and increasingly valuable form of search presence. It is not captured by standard rank-tracking tools. It is not reflected in traditional position-one CTR measurements. And it requires a content strategy that goes beyond optimizing for individual keywords to building genuine topical authority.
FAQ: Google AI Overviews Across Industries
What are Google AI Overviews and when did they launch? Google AI Overviews are AI-generated summaries that appear at the top of Google search results pages for certain queries. They were formally launched in May 2024, following an earlier experimental phase known as Search Generative Experience (SGE). They use Google’s large language models to synthesize information from multiple web sources and present a conversational answer above traditional organic results. By February 2026, they were appearing on approximately 48% of all tracked queries, up from about 31% a year earlier — a 58% increase year over year.
Which industries are seeing the highest rate of AI Overview adoption? According to BrightEdge data tracked from February 2025 to February 2026, the nine industries with the strongest AI Overview expansion are: Healthcare (currently at 88% of queries), Education (83%), B2B Technology (82%), Insurance (approximately 63%), Restaurants (78%), Entertainment (approximately 37%), Travel, eCommerce, and Finance. Healthcare was already high entering the period, while Education, B2B Tech, and Restaurants saw the most dramatic growth during the year.
Does ranking number one on Google mean you will appear in AI Overviews? No. BrightEdge data shows that only approximately 17% of sources cited in AI Overviews also rank in the organic top 10 for the same query. This means roughly five out of six AIO citations come from content that does not appear on the first page of traditional search results. Google’s AI Overviews use a mechanism called FastSearch and query fan-out, which breaks a single user query into multiple sub-queries and retrieves the top organic results for each sub-query independently. This means AIO citation is determined by relevance across a topic space, not by ranking authority on a single keyword.
What is Google’s FastSearch and query fan-out, and how does it affect AI Overviews? FastSearch is Google’s method of rapidly retrieving the top three organic results for multiple queries simultaneously. Query fan-out refers to the technique of breaking one conversational user query into several sub-queries, then retrieving results for each sub-query. When Google generates an AI Overview, it uses this expanded retrieval set — drawing from potentially dozens of organic results across multiple sub-queries — to synthesize a single answer. This is why AI Overview citations frequently come from pages that don’t rank on page one for the user’s original query.
How much screen space do AI Overviews take up on Google? As of early 2026, the average AI Overview exceeds 1,200 pixels in height, up from approximately 1,050 pixels a year earlier — a 15% increase. Since a standard desktop monitor viewport is approximately 900 pixels tall, an AI Overview now occupies more than the entire visible screen, pushing the first organic search result completely below the fold. On mobile, AI Overviews occupy approximately 48% of the screen. At peak, AI Overviews reached an average height of 1,340 pixels in December 2025.
How much have AI Overviews reduced click-through rates on organic results? Multiple studies show significant CTR pressure. Seer Interactive’s September 2025 update found that organic CTR for queries with AI Overviews dropped 61%, falling from 1.76% to 0.61%. Ahrefs’ December 2025 analysis found that AI Overviews reduce CTR for position-one content by 58%. Pew Research confirmed in March 2025 that Google users are statistically less likely to click on links when an AI summary is present. SparkToro’s data shows 58% of Google searches now result in zero clicks. Gartner projects overall organic CTR will decline 25% by 2026 due to AI-assisted search.
Are AI Overviews a problem for eCommerce businesses? The impact depends on query type. AI Overviews overwhelmingly target informational queries (nearly 100% of triggering queries by some measures), and traditional product-specific or transactional queries are far less likely to trigger an AI Overview. Some datasets show AI Overviews appearing on as few as 4% of pure eCommerce queries. However, informational eCommerce content — buying guides, product comparisons, “best X for Y” content — is within scope. For eCommerce brands, the strategic question is whether their informational content library is strong enough to earn AIO citations, while their product pages continue to compete in traditional organic and paid search.
What types of content are most likely to be cited in AI Overviews? Based on available data and Google’s guidance, content most likely to be cited in AI Overviews shares several characteristics: it addresses informational queries directly with clear, structured answers; it covers topic space comprehensively rather than targeting a single keyword; it carries strong E-E-A-T signals (particularly for YMYL categories like healthcare, finance, and insurance); it is technically well-structured with appropriate heading hierarchies, FAQ sections, and where relevant, schema markup; it is accurate, current, and well-sourced; and it comes from domains with established topical authority. Long-form content, while not universally superior, tends to cite more sources and cover more sub-topics, which aligns with how AI Overviews retrieve and synthesize content.
Is traditional SEO still worth investing in given the growth of AI Overviews? Yes, strongly. The BrightEdge data shows that 52% of queries still trigger no AI Overview at all — meaning traditional organic search results are the entire search experience for the majority of queries. In local search, AI Overviews appear on only about 7% of queries. Furthermore, the data shows a growing correlation over time between strong organic rankings and AI Overview citations, particularly in verticals like Travel and Entertainment where the overlap has grown significantly year over year. Traditional SEO and AIO optimization are complementary, not competing, strategies. The foundational work of building topical authority, earning high-quality links, maintaining technical SEO health, and producing accurate, user-centric content creates the conditions for both organic ranking and AIO citation.
How do AI Overview citation patterns differ across industries? Dramatically. Healthcare has the highest overlap between AIO citations and organic top-10 rankings at approximately 24%, reflecting Google’s reliance on established, trusted sources for YMYL content. Finance has the lowest top-10 overlap at 11.3%, with nearly 9 out of 10 AIO citations coming from outside the first organic results page. Entertainment, Travel, and eCommerce saw the most rapid growth in overlap over the past year, suggesting these verticals are becoming more aligned between organic rankings and AIO citation sources. Restaurants have only 9.3% top-10 overlap and 76% of AIO citations come from outside the top 100, suggesting a significant content gap that well-structured restaurant content could fill.
Does appearing in AI Overviews actually drive traffic to your website? It can, but the traffic pattern is different from traditional organic clicks. When a user sees their question answered in an AI Overview and clicks through to a cited source, that click comes with a higher degree of intent — the user has already received context about the topic and is visiting the source for deeper information. Some studies show that when branded results appear in AI Overviews, branded CTR actually increases. The appropriate measurement framework for AIO-driven traffic is not just volume, but engagement quality: session depth, time on site, and conversion rate for traffic arriving from AI-summary contexts.
How can I track whether my content is being cited in Google AI Overviews? Standard Google Search Console does not directly report AI Overview citations. Platforms including BrightEdge AI Catalyst, Semrush, Ahrefs, and SE Ranking have developed AI Overview tracking features that monitor which queries trigger AI Overviews, which sources are cited, and whether your domain appears in AIO citations. Manual monitoring — searching for your target queries and observing whether your content is cited — is also a practical starting point, though not scalable. A systematic AIO visibility audit is the recommended approach for businesses in any of the nine high-growth industries.
How do AI Overviews in Google compare to AI citations in ChatGPT, Perplexity, and Claude? Each AI platform has distinct citation patterns. Google AI Overviews draw primarily from the organic web using FastSearch and query fan-out. Perplexity uses its own web retrieval layer and tends to cite current news and research. ChatGPT’s browsing capability retrieves live web sources, but the selection logic differs from Google’s. Research from Profound analyzing citation patterns across these platforms from August 2024 to June 2025 found no single source consistently dominant across all platforms. A comprehensive strategy for AI visibility — sometimes called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — involves understanding the specific retrieval preferences of each platform and producing content that meets the trust and relevance criteria each one applies.
What does the data suggest about where AI Overview growth will go in 2026 and beyond? The BrightEdge data shows consistent growth from 31% to 48% of queries in twelve months, a 58% increase. If growth continues at a similar rate, AI Overviews could appear on more than 60% of queries by early 2027. However, growth rates in new technology often plateau as a product approaches saturation in its most compatible query types — informational, multi-word, non-local queries. What is more certain is the directional trend: AIO presence is increasing, AIO content blocks are growing larger, and the citation ecosystem is gradually aligning more closely with organic rankings. Businesses that build strong organic SEO foundations now will be better positioned for both channels as AIO coverage continues to expand.
The BrightEdge data from a twelve-month measurement period ending February 2026 establishes a clear picture: AI Overviews are a structural feature of Google search, not a temporary experiment. They are expanding in scope, growing in physical size on the page, and increasingly present across categories where informational queries dominate. At the same time, traditional organic search remains the majority experience for more than half of all queries — particularly in local, navigational, and transactional contexts. The businesses best positioned for this environment are those that treat both channels as complementary, building topical authority and E-E-A-T signals that create content worth citing regardless of how Google chooses to surface it.
About ALM Corp
ALM Corp is an award-winning white-label digital marketing partner serving agencies and brands globally since 2006. As AI Overviews, query fan-out, and generative search fundamentally reshape how Google surfaces content, the demands on digital marketing teams have expanded beyond traditional SEO into what is now called Generative Engine Optimization — building content, authority, and trust signals that earn citations in AI-generated search summaries across Google, ChatGPT, Perplexity, and Claude. ALM Corp’s AI marketing solutions and search visibility services are specifically designed to help agencies and their clients navigate this dual-channel environment: maintaining strong organic rankings across the 52% of queries that still return traditional results, while building the topical depth and E-E-A-T infrastructure that earns AI Overview citations in the nine high-growth industries this data documents. Whether you need an AI search visibility audit, a content architecture built for AIO citation, or a full-stack SEO and AI optimization strategy, ALM Corp’s team brings the technical rigor and industry data — including the BrightEdge citation analysis explored in this post — to help your brand stay visible as search continues to evolve.
