Significant Rise in AI Overviews for Branded Google Searches
In September 2026, AI Overviews related to branded Google searches witnessed a remarkable increase, nearly tripling in volume.
Tracking teams focused solely on rankings and clicks may overlook this pivotal evolution. Moreover, a 13-day Google spam update, concluding on October 8, has further complicated the interpretation of September’s ranking data.
This report has been generated through MarketScale, demonstrating the effective application of AI Writing in Marketing Tech.
Historically, businesses could reliably expect to dominate search results for their own names on Google.
However, September 2026 marked a drastic shift, with DemandSphere data reported by Search Engine Roundtable indicating that AI Overviews related to branded queries surged significantly. Notably, AI summaries began to proliferate in search results for major brand names.
An AI Overview is constructed from diverse web sources. While a company may still rank first for its own name, it does not imply that it monopolizes the entire brand experience.
For digital leaders or brand directors, this development redefines what constitutes a satisfactory branded search outcome.
The surge in branded queries coincided with a series of alterations to Google Search. Notably, Google implemented its fourth confirmed spam update of the year.
Consequently, brand teams are confronted with a critical inquiry: what metrics should they focus on when Google itself provides answers to queries about their brands?
AI Summaries Now Accompany Brand Searches
The increase in branded queries amplifies the already substantial growth trend. Comscore data highlighted by Search Engine Land revealed that, as of June 2026, AI Overviews appeared in 39.4% of U.S. desktop Google searches, compared to just 25.8% in July 2025.
Traditionally, branded queries were immune to such trends, as individuals searching for a company name expected to find the company’s official website at the top of the results.
However, with the emergence of AI Overviews tripling in branded queries, the results page—traditionally owned by the brand—is now partially crafted by Google, drawing content from external websites.
The majority of the activities that shape this summary occur beyond a company’s own website. In her July 2026 enterprise guide, Alaura Weaver delineates SEO as primarily a first-party endeavor, where a company enhances its own pages.
Conversely, generative engine optimization (GEO) is predominantly considered a third-party challenge, reliant on brand authority, external site presence, and original data.
The guide emphasizes an 80% strategic landscape, encompassing positioning, ecosystem engagement, and brand authority, with the remaining 20% allocated to technical concerns.
LSEO’s compilation highlights the burgeoning factors influencing branded searches: clear entity recognition, reputation management, mentions by authoritative entities, consumer reviews, third-party coverage, and accurate information dissemination across the web.
Interpreted through the lens of the 80/20 split, this suggests that the branded Overview primarily represents a reputation challenge intertwined with a technical component, rather than the reverse.
The research substantiating the GEO designation aligns with this perspective. In an article for Progress Software’s Sitefinity blog, Zach Stone of DeltaV Digital references a November 2023 paper from researchers at Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi that coined the term.
Their study identified that targeted optimization might enhance visibility in generative responses by as much as 40%.
Successful strategies included citations, statistics, authoritative quotes, and credible language, while keyword stuffing yielded minimal benefits. Familiar SEO practices are now applicable to responses that brands do not directly compose.
Stone emphasizes that the pivotal 20% retains a clear technological focus. He regards structured data as the most significant action of the year, given that large language models depend on it to a greater extent than traditional search engines.
His assessment involves ensuring that a human reader, Googlebot, and a language model reach the same comprehension upon visiting a particular page.
Understanding Click-Through Metrics
Writer guide assessed the repercussions on individual keywords. Ahrefs examined 300,000 keywords, contrasting December 2023 with December 2025, and discovered that the presence of an AI Overview correlated with a click-through rate decline for the top-ranking page of up to 58%, plummeting from 7.3% to 1.6%.
In a separate inquiry involving 3,119 informational queries, Seer Interactive reported a 61% drop in organic click-through rates for AI Overview queries, decreasing from 1.76% to 0.61%.
Impact of AI Summaries on Click-Through Rates
58%
Decline in top-ranking page CTR for AI Overview keywords, dropping from 7.3% to 1.6% (300,000 keywords, Dec 2023 vs. Dec 2025)
61%
Decline in organic CTR for AI Overview queries, decreasing from 1.76% to 0.61% (3,119 informational queries)
40.2%
Year-over-year reduction in Google Search referral traffic across a publisher network, from July 2025 to July 2026
Both methodologies and keyword sets arrived at similar conclusions. The leading result maintains its rank while experiencing a significant reduction in clicks.
Notably, these studies examined general and informational keywords rather than brand terms, thereby offering brand teams a benchmark for the effects of an Overview, rather than a predictor for their specific names.
Site-level data corroborates this trend. Chartbeat insights reported by Search Engine Journal indicate a staggering 40.2% year-over-year decline in Google Search referrals to publishers between July 2025 and July 2026.
Additionally, traffic from Google Discover also showed a significant downturn. An independent experiment involving over 1,000 participants found that users in Google’s AI Mode exhibited a reduced likelihood of clicking through to external websites.
Moreover, this experiment challenges the optimistic assumption that a missing click signifies user satisfaction. Participants exposed to the AI Mode expressed lower trust and satisfaction levels compared to those utilizing traditional Google Search.
Hence, a lost click cannot merely be interpreted as a positive outcome for users, a consideration of critical importance for brands contemplating the implications of diminished sessions.
LSEO’s insights caution against interpreting the data as indicative of a universal decline in SEO traffic. Nevertheless, zero-click behavior existed even before the branded surge; Arc Intermedia noted in December 2025 that approximately 60% of Google searches yield no clicks.
The emerging branded data underscores a vital realization: traffic is no longer a holistic measurement of organic visibility. A brand search culminating in a consumer satisfied with Google’s summary results in no session.
Beyond Click Metrics: Reevaluating Success
Two emerging metrics are gaining traction. Stone advocates for reference rate, signifying the frequency at which content is quoted in generative answers, over click-through rate for AI responses.
Securing mentions in AI Overviews has become paramount, superseding the quest for the clicks rendered obsolete by these Overviews.
Writer’s guide introduces a concept termed share of model, a metric that evaluates the incidence of a brand appearing in AI-generated responses relative to its competitors, essentially a modern evolution of share of voice.
Unlike the paid share of voice, Writer emphasizes that the share of model is an organic metric. While ChatGPT now features clearly labeled “Sponsored” cards beneath its outputs, these sponsored elements do not sway the model’s inherent responses.
As Weaver articulates: “You can purchase placement. Yet, purchasing a recommendation remains unattainable.”
Regrettably, few companies actively monitor either of these metrics. Research cited by Writer reveals that a mere 16% of brands systematically track their AI search performance.
For teams relying on traditional organic reports measuring sessions and ranking positions, the data from September suggests that traffic is increasingly inadequate as the sole gauge of organic visibility.
This gap is significant, as articulated by Writer’s notion of “silent shortlists,” referring to the preferences customers form during AI interactions, often prior to visiting any website.
By the time an individual accesses a site, they may have already included or excluded the brand from their consideration. Consequently, a branded Overview serves as yet another venue where this shortlist can manifest.
The remaining insights from LSEO align with this perspective. Brands must ascertain whether they appear in AI responses, are mentioned prominently, secure citations, and influence the searches or conversions that transpire thereafter.
Predominantly, these metrics remain unrecorded in analytics dashboards. Notably, Google introduced new AI and multimodal reporting functionalities to Search Console in September, aligning with the expansion of AI Mode and further exploration into agentic commerce.
The Nearly Two-Week Spam Update
Any scrutiny of September rankings must incorporate the implications of Google’s spam update. On September 24, Google globally rolled out this update across all languages, marking the fourth confirmed spam update within the year, following those in March, June, and August.
Google announced the rollout duration might extend to two weeks, effectively utilizing nearly the entirety of that timeframe, concluding on October 8 after approximately 13 days and 16 hours.
In contrast, the company’s three preceding spam updates this year wrapped up in fewer than three days.
Search Engine Roundtable documented notable volatility on September 23 and 24, with additional fluctuations over the initial weekend of the update, and continuing variation throughout the rollout.
September had already exhibited considerable unrest prior to the commencement of the update, with observers noting unverified volatility between September 4-13, and again on September 15.
Hence, reports concerning branded queries shaped by September data are likely influenced by various overlapping ranking modifications.
Before attributing the losses observed in September to either AI Overviews or the spam update, evaluate data from the period preceding September 24 against that following October 8 in Search Console.
Analyze clicks, impressions, and identify which directories, query categories, and landing pages were affected. Relying on data from a singular day within this timeframe may yield inconclusive insights.
Furthermore, Google revealed insights regarding SAFE, an acronym for Scaled Abuse Forensics Examiner, a framework designed to identify varieties of AI-generated misconduct.
The timing of this revelation coincided with the spam update, although Google has not formally confirmed whether SAFE played a role in the update’s implementation.
Source link: Marketscale.com.
