Key Takeaways
- A large-scale Ahrefs study of 863,000 keywords and 4 million AI Overview URLs found that only 38% of pages cited in Google AI Overviews also rank in the top 10 for the same query — down sharply from 76% just seven months earlier.
- A separate BrightEdge analysis puts the top-10 overlap even lower, at approximately 17%, depending on dataset and methodology.
- The remaining citations are divided nearly equally between pages ranking positions 11–100 (31.2%) and pages that do not appear in the top 100 at all (31%).
- YouTube is now the single most-cited domain in Google AI Overviews and accounts for 18.2% of all citations that come from outside the top 100.
- Google’s upgrade to Gemini 3 as the global default for AI Overviews on January 27, 2026, is a likely contributing factor to the shift in citation behavior.
- The underlying mechanism driving these changes is Google’s query fan-out process, which splits a user’s original query into multiple sub-queries and draws from across all of those sub-query results.
- Organic CTR for queries with AI Overviews has fallen by as much as 61%, making citation visibility an increasingly important alternative metric to track.
- The SEO implication is clear: ranking #1 for a single keyword no longer guarantees AI Overview visibility. Topical depth, multi-format content, and fan-out query coverage are now the primary levers.
Why Ranking #1 Is No Longer Enough
For years, the correlation between organic search rankings and AI Overview citations was close enough that SEOs could treat one as a proxy for the other. If a page ranked at the top of the SERP for a given query, it had a high probability of being cited when Google’s AI Overviews appeared for that same query. That relationship has changed materially.
In mid-2025, approximately three out of four pages cited in an AI Overview also ranked in the top 10 organic results for the same keyword. By early 2026, that figure stands at roughly one in three — or possibly as low as one in six, depending on the data source you reference. This is not a minor statistical fluctuation. It reflects a structural shift in how Google’s AI selects and attributes source material.
For any business, content team, or SEO professional that built their AI visibility strategy around the assumption that organic rankings automatically translate into AI citations, this data demands a strategic recalibration. This post breaks down what the research shows, why the shift occurred, what YouTube’s emerging dominance means, and what specific steps you can take right now to protect and expand your visibility in Google’s AI Overviews.
The Research: What the Data Actually Shows
The Ahrefs Study (863,000 Keywords, 4 Million URLs)
Ahrefs published an updated analysis of AI Overview citations drawn from 863,000 keyword SERPs and approximately 4 million AI Overview URLs sourced from its Brand Radar tool. This dataset is more than double the size of Ahrefs’ previous study conducted in July 2025, which analyzed roughly 1.9 million citations across a smaller keyword set.
The headline finding is this: 38% of URLs cited in AI Overviews also appeared within the first 10 result blocks of the SERP for the exact same query. When Ahrefs filtered to standard organic listings only — removing ads, featured snippets, People Also Ask boxes, and video packs — the share of top-10 cited pages dropped slightly further to 37.1%.
The remaining citations break down as follows across the organic-only dataset:
- Rank 1–10: 37.1% of cited URLs
- Rank 11–100: 26.2% of cited URLs
- Outside top 100: 36.7% of cited URLs
The near-equal distribution between the 11–100 group and the beyond-100 group is significant. It means that roughly two in three AI Overview citations come from pages that a user searching that specific keyword would never encounter on page one of the SERP. The AI is not primarily drawing from what the user sees. It is drawing from a much broader pool.
The BrightEdge Findings
A separate analysis from BrightEdge, published February 12, 2026, reported a top-10 overlap for AI Overview citations of approximately 17%. The two studies use different methodologies and datasets, so they are not directly comparable. However, both point in the same direction: the relationship between top-10 organic rankings and AI Overview citation selection has weakened substantially in a short period.
The Historical Trajectory
To appreciate how significant this change is, consider the timeline of data points:
Late 2024: Multiple studies showed that roughly 75% of AI Overview citations came from pages ranking in the top 10 to 12 organic positions. At this stage, the conventional SEO wisdom — that ranking well for a query was effectively sufficient to earn AI Overview visibility — was broadly supported by the data.
July 2025 (Ahrefs): A prior Ahrefs study of 1.9 million citations found that 76% of cited pages ranked in the top 10 for the same query, with the median ranking position for top-cited pages sitting at position 4. The consensus was still that traditional SEO and AI Overview optimization were largely the same exercise.
October 2025 (BrightEdge): BrightEdge reported a 54% overlap between AI Overview citations and organic top-10 rankings — a notable decline from earlier in the year, but still a majority.
February 2026 (Ahrefs and BrightEdge): The most recent data puts the overlap between 17% and 38%, representing a drop of approximately half or more from six months prior.
The pace of change here is what commands attention. In the span of roughly 18 months, the top-10 overlap figure has gone from around 75–76% down to somewhere in the 17–38% range. That is not a gradual drift. It is a meaningful behavioral shift in how Google’s AI selects sources.
Why This Is Happening: Query Fan-Out and Gemini 3
Understanding Google’s Query Fan-Out Process
The most likely explanation for the widening gap between organic rankings and AI Overview citations is the query fan-out process — a mechanism that Google has confirmed is central to how AI Overviews are constructed.
When a user enters a search query and Google’s AI is triggered, the system does not simply evaluate the top-ranking pages for that one query. Instead, it decomposes the original query into multiple related sub-queries. These sub-queries cover adjacent topics, related entities, and alternative phrasings that a user might not have typed but that are likely relevant to their underlying informational need.
Google then evaluates the search results across all of those sub-queries and identifies the pages that appear most frequently and most authoritatively across the full set. Those pages become the cited sources in the AI Overview.
The practical consequence is that the source pool for any given AI Overview response is far larger than the top 10 results for the original query. A page that ranks position 40 for a closely related sub-query may end up cited in an AI Overview triggered by the primary query, even though that page would never appear in the top results for the primary query itself.
Google has publicly documented the existence of the fan-out process in its developer documentation. What the Ahrefs data suggests is that fan-out queries may now play a larger role in source selection than they did in mid-2025 — possibly because Gemini 3 performs more aggressive or broader query expansion than earlier model versions.
SEO consultant Ethan Lazuk describes the practical implication directly: the goal is no longer to optimize content for individual keywords but for entire user journeys, with fan-out queries guiding what “comprehensive coverage” actually means in practice.
The Gemini 3 Upgrade
On January 27, 2026, Google made Gemini 3 the global default model powering AI Overviews across all markets. The timing correlates with the period when Ahrefs observed the citation behavior shift.
SE Ranking’s post-upgrade analysis found that Gemini 3 replaced approximately 42% of the domains that had previously been cited in AI Overviews under the earlier model, and that Gemini 3 delivers roughly 32% more source URLs per AI Overview response than its predecessor. A larger number of sources per response, combined with a wider source pool drawn through more aggressive fan-out behavior, would mathematically reduce the percentage of citations coming from any single tier of organic results — including the top 10.
Ahrefs explicitly flags the Gemini 3 upgrade as additional context for the timing of the citation shift, while noting that Google has not publicly confirmed any specific changes to how fan-out behavior is weighted in the new model.
Improved Detection Methodology
Ahrefs also acknowledges one caveat that affects how the two studies should be compared: its parsing methodology has improved since the July 2025 study, enabling it to detect more of the citations that appear in AI Overviews. This means a portion of the apparent drop in top-10 overlap may reflect better measurement of citations that were previously missed, not purely a change in Google’s selection behavior. The direction of change is not in doubt, but the exact magnitude requires the caveat.
YouTube’s Emergence as a Top Citation Source
One of the most actionable findings in the Ahrefs data is the role YouTube now plays in Google’s AI Overview citation behavior.
Among AI Overview citations that came from pages not ranking in Google’s top 100 organic results, 18.2% were YouTube URLs. Across the full dataset of all AI Overview citations, YouTube URLs accounted for 5.6% of the total. According to Ahrefs Brand Radar data, YouTube is currently the most-cited domain in AI Overviews overall and has grown its citation share by 34% over the past six months.
This is not an isolated finding from one study. Multiple independent analyses have reached similar conclusions:
- An SE Ranking study of German health-related search queries found that YouTube was the most-cited domain in health AI Overviews, appearing more frequently than official medical institutions or hospital websites.
- In Ahrefs’ December 2025 AI Mode comparison study, YouTube was already the most frequently cited source for AI Overviews specifically.
- An OtterlyAI study published in March 2026, drawn from over 100 million citation instances, identified YouTube as the second most-cited social platform in AI search citations.
- A Semrush citation study tracking the most-cited domains in AI tools found YouTube’s share of citations growing sharply across both AI Overviews and other AI search platforms.
Ahrefs’ separate research on 75,000 brands found that mentions of a brand on YouTube — specifically in video titles, transcripts, and descriptions — represent the strongest correlating factor with AI Overview visibility among all the signals studied. This puts YouTube content in a category of its own: it drives AI Overview citation probability more than most other signals tested.
The mechanism is consistent with query fan-out logic. YouTube videos frequently rank for the sub-queries that Google generates when performing fan-out from the original search query, even when those videos do not appear in the top 100 for the original query itself. Google’s AI then pulls from those YouTube URLs as authoritative sources for the expanded topic set.
What This Means for Traffic and Visibility
The CTR Compression Effect
The shift in citation sources cannot be evaluated in isolation from what AI Overviews are doing to click-through rates more broadly.
Seer Interactive’s September 2025 study, reported by Search Engine Land, found that organic CTR for queries with AI Overviews dropped from 1.76% to 0.61% — a 65% decline. Paid CTR for the same queries fell from 19.7% to 6.34%, a 68% drop.
Ahrefs’ own December 2025 update found that AI Overviews reduce the organic CTR for position-one content by 58%. For the keyword that a page ranks first for, adding an AI Overview to the SERP roughly cuts click traffic in half.
The implication of these two trends together is stark. As AI Overviews appear more frequently — seoClarity found their presence on U.S. mobile searches grew approximately 475% year-over-year between September 2024 and September 2025 — organic click traffic is being compressed at the same time that organic rankings are becoming a less reliable path to earning AI Overview citation visibility.
Being cited in an AI Overview, rather than just ranking organically, now matters more as a visibility metric. A page cited in an AI Overview gains a form of AI-mediated visibility even in a SERP where the user may not click through to any standard organic listing. That brand exposure and topical authority signal has value beyond the immediate click.
The 97% Top-20 Finding
It is important not to read the Ahrefs 38% figure as meaning organic SEO has become irrelevant to AI Overview citations. SeoClarity’s analysis of 432,000 keywords found that 97% of AI Overviews cite at least one source from the top 20 organic results for the query. Position 1 pages appear in AI Overviews more than 50% of the time. Organic ranking remains a meaningful factor — it is just no longer sufficient on its own.
The two findings coexist: ranking well improves citation probability, but it does not guarantee citation selection. And many citations come from pages that don’t rank in the top 10 for the original query at all.
What SEOs and Content Teams Need to Do Now
The data points toward a set of practical adjustments that can meaningfully improve AI Overview citation probability. These are not speculative tactics — each is grounded in the patterns the research has identified.
1. Shift from Single-Keyword Optimization to Topic-Cluster Architecture
If AI Overviews are pulling from the results of multiple fan-out sub-queries, then the most effective way to improve citation probability is to cover a topic from multiple related angles. A single well-ranked page targeting one primary keyword competes for citation in one SERP. A cluster of well-structured pages covering a topic’s adjacent questions, sub-topics, and entity relationships competes for citation across the full set of sub-query SERPs that fan-out generates.
In practice, this means building content hubs where a pillar page covers the primary topic comprehensively and supporting pages address specific sub-questions, entities, and intent variants. Each supporting page has an independent chance of appearing in a fan-out sub-query SERP, and that citation feeds into the AI Overview for the primary query.
Keywords Explorer parent topic clustering tools help identify which related queries are likely to be treated as thematically connected by Google’s AI, providing a starting point for mapping the sub-query landscape.
2. Reframe What “Comprehensive Content” Means
Content length alone has essentially no correlation with AI Overview citation frequency. Ahrefs’ analysis found that 53% of all AI Overview citations go to pages under 1,000 words. The question is not how long a piece of content is but whether it addresses the specific aspects of a topic that Google’s fan-out process considers relevant.
What matters is whether the content explicitly answers the likely sub-queries generated when the primary topic is expanded. This requires understanding the full user journey around a topic — not just the search intent of one query, but the informational territory that a person researching that topic might need to traverse. Content that answers multiple related questions within a well-structured, easily parsed format tends to perform better in citation selection than long-form content that covers one angle in depth.
3. Build a YouTube Presence — Treat It as an SEO Asset
Given that YouTube is now the most-cited domain in Google AI Overviews and that mentions in YouTube video titles, transcripts, and descriptions correlate most strongly with AI Overview visibility, the case for treating YouTube as part of an SEO strategy — not just a social media or brand-building channel — has become data-supported.
For businesses that currently produce no video content, this does not require a major production operation. Repurposing existing content into structured video explanations, tutorials, or expert commentary — with carefully crafted titles and accurate auto-transcriptions — creates YouTube content that can compete for AI citation in fan-out sub-query SERPs.
The mechanism is this: when Google expands a user’s query into sub-queries during fan-out, YouTube videos frequently rank in those sub-query SERPs, particularly for informational and how-to intent. Those videos then get pulled into the AI Overview for the primary query, even if they would never rank organically for that primary query term.
For any brand seeking to build AI Overview visibility, YouTube content is now a concrete, measurable lever — one that Ahrefs’ research on 75,000 brands has empirically validated.
4. Replicate Fan-Out Queries in Your Content Planning Process
Since Google doesn’t expose the sub-queries it generates through fan-out, content teams need to simulate them. Several tools and workflows have been developed by the SEO community to help with this:
Qforia, built by iPullRank founder Mike King, allows users to generate fan-out query expansions for any given topic. GoFishDigital’s Gemini API and Screaming Frog workflow enables extraction of AI Overview query fan-outs at scale. The WordLift AI Visibility Fan-Out tool provides a collaborative research interface for the same purpose.
The goal is not to perfectly replicate Google’s internal fan-out queries — those are probabilistic and change with each run. The goal is to analyze enough expansion examples to identify the recurring themes, entity relationships, and intent angles that Google’s AI consistently considers adjacent to the primary topic. Those recurring patterns then become the basis for the content architecture: each identified angle represents a topic that should have dedicated, high-quality content coverage on the site.
5. Implement Structured Data With Precision
Research from SE Ranking found that approximately 65% of pages cited by Google AI Mode include structured data markup, and roughly 71% of pages cited by ChatGPT carry some form of structured data. Wellows’ analysis of AI Overview ranking factors attributed a 73% selection boost to structured data implementation.
The schema types with the clearest relevance to AI Overview citation include: Article, FAQPage, HowTo, Q&A, SpeakableSpecification, VideoObject, and Organization. FAQPage schema is particularly valuable for directly answering the kinds of questions that fan-out sub-queries tend to generate. JSON-LD implementation is Google’s recommended format, and it can be audited for correctness through Google’s Rich Results Test tool.
Structured data serves multiple purposes in the AI citation context. It makes content easier for Google’s AI to parse accurately, signals the format and purpose of the content explicitly, and creates machine-readable connections between entities that support topical authority assessment.
6. Optimize for E-E-A-T at the Page and Domain Level
Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) remain central to how Google evaluates sources for AI Overview citation. Expert author attribution with verifiable credentials, accurate citations of data and primary sources, clear publication and review dates, and a track record of accurate information all contribute to the trust signals that influence whether a page gets selected.
Recent Ahrefs research found that expert quotes in content can increase AI Overview citation probability relatively quickly. For YMYL (Your Money or Your Life) topics — health, finance, legal — this trust signal is particularly important.
7. Audit and Track Your AI Overview Citation Performance
Understanding which of your pages are currently being cited in AI Overviews, and for which queries, is foundational to improving your citation rate. You cannot optimize what you cannot measure.
Google Search Console provides some AI Overview impression data, though it is limited. Third-party tools like Ahrefs Brand Radar, SE Ranking’s AI Overview tracker, BrightEdge’s Generative Parser, and SEMrush’s AI Overviews tracking give more granular visibility into citation patterns by domain and topic.
The analysis framework should include: which of your pages are already being cited (revealing topics where you have established authority); which queries trigger AI Overviews in your category but do not cite your pages (revealing gaps); which competitor pages are being cited instead of yours for those queries (revealing what additional coverage or format changes might close the gap); and which pages rank well organically but are not being cited (suggesting topical coverage or clarity issues that prevent selection despite ranking).
8. Diversify Content Formats
The Ahrefs data shows that different content formats get cited for different query types. Definitions and direct answers tend to appear in AI Overviews for informational queries. Step-by-step instructions and how-to content gets cited for procedural queries. Data, statistics, and comparative tables get cited in research-oriented queries. Video content, as discussed, is particularly effective for informational and tutorial content types.
For any given topic cluster, producing content in at least two or three formats — a written guide, a video explainer, and a data-rich reference page — increases the surface area across which fan-out sub-query SERPs can find and cite your content.
How to Measure Whether Your Strategy Is Working
The key performance indicators for AI Overview visibility differ from traditional organic SEO metrics. The metrics that matter now are:
AI Overview impressions by page and query: Available in Google Search Console with limited granularity, and in greater detail through enterprise SEO platforms. Trending upward means the strategy is working.
Citation rate by topic cluster: What percentage of queries in a given topic area where an AI Overview appears are citing at least one of your pages? This is your market share within the AI-visible search landscape for that topic.
YouTube citation frequency: Are your brand’s YouTube videos appearing in AI Overview citations? Ahrefs Brand Radar’s “Cited in AI” column enables this analysis directly.
Organic CTR by AI Overview exposure level: Segments queries by whether an AI Overview appeared. CTR will typically be lower for AI Overview queries, but being cited should partially offset that decline by generating brand exposure.
Branded vs. unbranded AI mention share: For longer-term brand visibility, tracking how often your brand is mentioned in AI Overview text — not just linked in citations — provides a broader measure of AI-mediated authority.
Frequently Asked Questions
Q: What exactly is a Google AI Overview citation? A: When Google displays an AI Overview — the AI-generated summary that appears at the top of search results — it typically includes a set of source links in a collapsed panel. These links point to the specific web pages, YouTube videos, or other URLs that Google’s AI used as source material when constructing the overview. Being cited means your URL appears in that panel as a sourced reference.
Q: Why did the top-10 overlap for AI Overview citations drop so dramatically in early 2026? A: Two structural factors are likely responsible. First, Google upgraded AI Overviews globally to Gemini 3 on January 27, 2026. SE Ranking’s analysis found that Gemini 3 replaced approximately 42% of previously cited domains and generates 32% more sources per response than its predecessor. Second, the query fan-out process — where Google decomposes a user’s original query into multiple sub-queries and draws citations from across all of those sub-query results — appears to play a larger role in source selection under Gemini 3 than it did under earlier model versions. Ahrefs also acknowledges improvements to its own citation detection methodology, meaning some of the apparent shift reflects better measurement.
Q: Does this mean SEO rankings no longer matter for AI Overview visibility? A: No. Rankings still matter, but they are no longer sufficient on their own. SeoClarity’s research found that 97% of AI Overviews cite at least one source from the top 20 organic results. Position 1 pages appear in AI Overviews more than 50% of the time. What the new data shows is that a significant share of citations — now exceeding 60% in the Ahrefs dataset — comes from pages that don’t rank in the top 10 for the original query. Earning rankings remains important; the strategy needs to expand to also cover the broader topic landscape that fan-out queries map.
Q: What is query fan-out and how does it work? A: Query fan-out is the process by which Google’s AI search system decomposes a single user query into multiple related sub-queries when generating an AI Overview. For example, a search for “how to improve website speed” might fan out into sub-queries covering page load time benchmarks, image compression techniques, server response time optimization, Core Web Vitals, hosting selection factors, and caching strategies. Google generates search results for each of those sub-queries and identifies the pages that appear most frequently across all sub-query SERPs. Those pages become the citations for the AI Overview. Google has confirmed this process exists in its developer documentation.
Q: Why is YouTube now the most-cited domain in Google AI Overviews? A: YouTube benefits from query fan-out in a specific way. YouTube videos frequently rank in search results for informational and how-to sub-queries that are generated when Google expands a user’s original query, even when those videos do not appear in the top 100 for the original query itself. Since fan-out is now a primary mechanism driving AI Overview citation selection, YouTube’s consistent presence in sub-query SERPs gives it a structural advantage. Ahrefs’ Brand Radar data confirms YouTube has grown its citation share by 34% over six months and is currently the top-cited domain in AI Overviews overall.
Q: How can I find out if my pages are being cited in Google AI Overviews? A: Google Search Console provides a limited view of AI Overview impressions associated with your URLs. More granular citation tracking is available through third-party tools: Ahrefs Brand Radar, SE Ranking’s AI Overview tracker, BrightEdge’s Generative Parser, and Semrush’s AI Overviews tracking module all offer some level of citation analysis by domain and query. These tools can show which of your pages are being cited, for which queries, and how that compares to competitors.
Q: If I can’t rank on page 1 for a keyword, can I still get cited in an AI Overview for that keyword? A: Yes. The data confirms this directly. Approximately 31% of all AI Overview citations in Ahrefs’ study came from pages that don’t rank in the top 100 for the same keyword. Many of these citations come via YouTube videos or through the fan-out process: a page that ranks well for a related sub-query can be cited in the AI Overview for the primary query, even without ranking for the primary query at all. This opens up citation opportunities for pages that are not competitive for the top position on a given keyword.
Q: What content formats are most likely to be cited in Google AI Overviews? A: The data does not point to a single universally superior format. Different formats perform well for different query types. Direct, concise definitions and answers perform well for informational queries. Step-by-step structured content and HowTo schema implementations perform well for procedural queries. Comparative tables and data-driven content perform well for research-oriented queries. YouTube videos and video transcripts perform strongly across multiple query types, particularly how-to and informational. The most effective approach is to produce content in multiple formats for each topic cluster rather than relying on one format.
Q: Does content length affect AI Overview citation probability? A: Based on Ahrefs’ analysis of 1 billion data points, content length has essentially zero correlation with AI citation probability. The correlation coefficient was measured at 0.04 — statistically negligible. Notably, 53% of all AI Overview citations went to pages containing fewer than 1,000 words. This suggests that concision and directness — covering the relevant topic clearly and completely without unnecessary padding — may serve citation goals better than maximizing word count.
Q: What is the impact of AI Overviews on organic click-through rates? A: Multiple studies converge on significant CTR reductions. Seer Interactive found organic CTR for queries with AI Overviews fell from 1.76% to 0.61% — a 65% drop. Ahrefs’ December 2025 update found AI Overviews reduce position-1 organic CTR by 58%. A 2026 ArcInterMedia case study measured an average organic CTR drop of approximately 35% in query categories where AI Overviews are present. For businesses relying on informational content as a top-of-funnel traffic driver, these figures underscore why earning citation placement within the AI Overview has become strategically important beyond just organic rankings.
Q: How does structured data help with AI Overview citations? A: Structured data markup — particularly FAQPage, HowTo, Article, and VideoObject schema in JSON-LD format — serves multiple purposes in the AI citation context. It explicitly communicates to Google’s AI what the content is about, what questions it answers, and how it should be interpreted. SE Ranking research found that approximately 65% of pages cited by Google AI Mode include structured data markup. Wellows’ analysis associated structured data implementation with a 73% boost in AI Overview selection probability. Schema markup alone is not sufficient to earn a citation, but it reduces the friction involved in the AI’s content parsing process.
Q: How does Gemini 3 change AI Overview citation behavior compared to earlier Gemini models? A: SE Ranking’s analysis of the pre- and post-Gemini 3 transition found that the upgrade replaced approximately 42% of the domains that had been cited under the previous model. Gemini 3 also generates roughly 32% more source URLs per AI Overview response than its predecessors, expanding the citation pool. Combined with the evidence that fan-out queries may now play a larger role under Gemini 3, the upgrade has made citation selection more dynamic and less predictable based on standard organic rankings alone. Pages covering topics comprehensively, from multiple angles, appear better positioned under the new model architecture.
Q: Should I change my SEO strategy entirely because of AI Overviews? A: Not entirely — but selectively and urgently. The foundations of SEO — technical health, authoritative backlinks, accurate content, E-E-A-T signals, and solid page experience — remain important. What the AI Overview data requires is an expansion of strategy in three specific directions: (1) content architecture that covers topics in topic clusters rather than isolated keyword targets; (2) YouTube content creation as a deliberate AI citation asset; and (3) fan-out query mapping to understand the full sub-query landscape around your core topics. These additions sit alongside, rather than replace, traditional SEO practices.
Q: Will AI Overview citation behavior continue to change? A: Based on the trajectory of the data from 2024 through early 2026, continued change is the most likely scenario. The overlap percentage between top-10 rankings and AI Overview citations has shifted dramatically in both directions at different points — reflecting model upgrades, methodology improvements, and changes to how fan-out queries are weighted. There is no reason to expect the system to stabilize in the near term. The most defensible strategy is one built on topical authority and comprehensive topic coverage across formats, which tends to be durable across model changes, rather than one optimized narrowly for any single signal.
Wrapping It Up
The numbers tell a straightforward story. In mid-2025, three quarters of pages cited in Google AI Overviews also ranked in the top 10 for the same query. By early 2026, that figure sits between 17% and 38%, depending on the study. In the same period, YouTube has become the most-cited domain in AI Overviews, growing its citation share by 34% in six months, with 18.2% of all out-of-top-100 citations pointing to YouTube URLs. Google’s upgrade to Gemini 3 in January 2026 and the growing influence of query fan-out have together created a citation environment that no longer reliably rewards single-keyword page one rankings the way it did even twelve months ago.
None of this means organic SEO has become irrelevant. What it means is that an organic ranking alone — even a number-one ranking — is no longer a complete AI visibility strategy. The businesses that will maintain and expand their presence in AI-generated search results are those that cover their subject matter from multiple angles, in multiple formats, across both written content and YouTube, structured clearly enough for an AI to parse and cite with confidence. That is the game that Google’s AI is now playing. The citation data is the scoreboard.
About ALM Corp
ALM Corp is a full-service digital marketing agency that has generated more than $7 billion in client sales across 30,000+ satisfied customers. Our SEO team works at the intersection of traditional organic search and AI-driven search optimization — an intersection that the data in this post makes clear is no longer optional to navigate.
As Google AI Overviews become the dominant interface for answering search queries across web, mobile, and AI platforms, businesses need content strategies that account for query fan-out behavior, topical authority, multi-format content production, and AI citation tracking. ALM Corp delivers precisely that: data-driven SEO programs that build the kind of comprehensive topical coverage and structured authority signals that earn citations in AI Overviews, not just rankings on page one.
Our services include Search Engine Optimization (from technical audits to content strategy), Content Marketing built around topic-cluster architecture, Paid Media management, Web Design and Development optimized for Core Web Vitals and structured data, and full-funnel Digital Strategy programs. Whether you’re managing AI Overview visibility for a single brand or building a white-label SEO program for an agency, ALM Corp has the team, tools, and track record to make it measurable.
To learn more about how ALM Corp can help your business secure AI Overview citations and build durable search visibility in 2026 and beyond, visit www.almcorp.com or explore our SEO services at almcorp.com/services/seo.
