Adobe: 81% of brands using unified AI-SEO strategy gain traffic

Semrush, the search and generative engine optimization platform now working below Adobe possession, printed the expanded 2026 AI Visibility Index on June 26, 2026, scaling its evaluation from an preliminary 2,500 prompts to 126 million United States AI search queries collected between January and April. The report quantifies a sample many advertising and marketing groups have suspected however struggled to show: manufacturers that deal with SEO and synthetic intelligence visibility as one related self-discipline report meaningfully higher outcomes than those who handle the 2 individually.

The discovering sits inside a companion survey carried out alongside the immediate evaluation. Amongst organizations that totally combine Website positioning and AI visibility right into a single workflow, 81% reported elevated site visitors or leads from AI platforms, in accordance with Semrush. Amongst organizations that handle the 2 areas as separate features, solely 36% reported the identical final result. The 45-point hole between these two teams represents one of many report’s clearest sensible takeaways for advertising and marketing departments deciding how you can construction their groups.

Shopper habits helps clarify why that structural alternative issues. Site visitors arriving at United States retail web sites from AI-powered sources surged 1,324% between October 2024 and Could 2026, in accordance with Semrush, drawing on knowledge equipped by Adobe. The journey sector recorded a fair steeper climb: AI-referred site visitors to journey websites rose 2,215% throughout the identical nineteen-month window. These figures describe a channel that hardly existed in most advertising and marketing plans two years in the past and now represents, in some classes, a bigger share of discovery site visitors than many groups have infrastructure to trace.

That monitoring hole is exactly what the report’s companion survey got down to measure, and the numbers are stark. Some 45% of promoting leaders stated they can not precisely measure their model’s visibility inside AI-generated solutions, Semrush discovered, whereas solely 9% stated they’ve the instruments wanted to trace each related metric throughout the AI platforms their clients use. In different phrases, fewer than one in ten advertising and marketing organizations can presently see the channel that Adobe’s personal site visitors knowledge reveals is rising quickest.

What the index measures

The AI Visibility Index examines how 4 main AI search surfaces, ChatGPT, Google Gemini, Google AI Mode, and Google AI Overviews, point out, cite, and signify manufacturers throughout 22 {industry} verticals. The expanded model launched June 26 constructed instantly on an earlier iteration of the identical index that Semrush launched in September 2025, although this model scales the underlying dataset by roughly 5 orders of magnitude, transferring from 2,500 sampled prompts to 126 million.

PPC Land’s earlier report on this same index detailed the headline structural discovering: of greater than 1,200 manufacturers Semrush tracked throughout the 4 platforms, solely 36 maintained top-100 visibility on each platform throughout each month of the research window. Semrush refers to that group because the Common 36, and it consists of firms reminiscent of YouTube, Amazon, and Walmart, manufacturers with broad client attain and a longtime position in serving to buyers full comparability or transaction duties.

The excellence between being talked about and being cited runs by way of a lot of the report’s methodology. Being talked about in an AI-generated reply doesn’t essentially imply a model’s personal web site equipped the underlying supply materials; an organization can seem regularly in AI responses whereas a competitor, a evaluate web site, or a neighborhood discussion board provides the precise quotation the AI system relied on. On Gemini particularly, the overlap between talked about manufacturers and cited domains can fall as little as 30%, in accordance with Semrush, which means that seven in ten domains the platform cites belong to entities aside from the model being mentioned. That hole forces a two-front aggressive posture: manufacturers should earn sufficient relevance to be talked about in any respect, whereas individually constructing the structured, credible content material that AI techniques choose as supporting proof.

Platform-level quotation habits varies sharply

The 4 platforms analyzed don’t behave uniformly, and the variations carry direct implications for the place a advertising and marketing group ought to focus its optimization effort. ChatGPT cites a median of 15 sources per response and attracts closely on neighborhood and reference platforms together with Reddit and Wikipedia. Gemini, against this, cites a median of simply 3 sources per response, pulling from a narrower pool that additionally consists of Reddit, Wikipedia, and YouTube.

That fivefold distinction in quotation quantity helps clarify why a model would possibly carry out strongly on one AI platform whereas remaining almost invisible on one other; an organization whose visibility technique is determined by breadth of quotation, quite than depth, will naturally fare higher on ChatGPT’s wider web than on Gemini’s narrower one. Semrush’s personal advice, echoed within the report, is that manufacturers measure AI visibility platform by platform quite than treating the class as a single undifferentiated channel.

Case research level to third-party validation

Two model case research included within the underlying analysis illustrate completely different paths to constant AI visibility, although PPC Land’s prior protection has already detailed each in depth. Patagonia maintained an AI visibility rating within the excessive 70s to low 80s all through the research interval, a consistency Semrush attributes much less to paid media spend than to a community of third-party outdoor-gear evaluate websites, together with OutdoorGearLab, REI, Switchback Journey, and GearJunkie, alongside sustained dialogue on Reddit. Shopify introduced a extra balanced sample between mentions and citations, a rarity the report notes, since most manufacturers skew towards one or the opposite quite than attaining parity between the 2 metrics.

These examples help a broader conclusion the report attracts about how model narratives now type. An organization’s AI narrative is not formed solely by its personal web site and brand-controlled advertising and marketing supplies, in accordance with Semrush. AI platforms more and more depend on buyer opinions, neighborhood discussions, unbiased publishers, retailers, and industry-specific sources to know and describe a given model, which implies public relations, neighborhood administration, and earned media now operate as inputs into AI visibility in ways in which conventional Website positioning groups haven’t traditionally needed to account for.

Business focus varies by class

Aggressive dynamics differ considerably by {industry}, the research discovered, and that variation might decide how a lot alternative exists for a model to achieve floor. In Information and Media, the three most seen manufacturers accounted for 82.9% of whole class visibility, in accordance with Semrush, whereas Shopper Electronics confirmed a comparable focus, with the highest three manufacturers representing 76.9% of visibility in that class.

Finance and Industrial verticals informed a distinct story. The highest three manufacturers in Finance accounted for simply 41.4% of class visibility, whereas the highest three in Industrial represented 42.2%. These two classes, the least concentrated within the research, might provide better room for mid-sized or rising manufacturers to construct AI visibility over time than classes the place a handful of dominant names already command the overwhelming majority of AI consideration.

An government framing constructed round model narrative

Rachel Thornton, chief advertising and marketing officer of Adobe Enterprise, framed the stakes of the report by way of model consistency throughout each digital touchpoint a buyer would possibly encounter. “Your AI narrative is changing into the decisive entry level to your buyer expertise,” Thornton stated, in accordance with the announcement. “However the brand new actuality is, your clients are each folks and AI brokers. Minimizing model drift to make sure accuracy and consistency throughout each digital touchpoint is now the start line for securing visibility. This requires new content material methods, stronger knowledge foundations, and organization-wide governance.”

Andrew Warden, vp of promoting at Adobe and former chief advertising and marketing officer of Semrush, supplied a associated however distinct emphasis, pointing towards organizational construction quite than content material technique alone. “AI is now intrinsic to the default search expertise, and types have to adapt. The secret is Model Visibility,” Warden stated. “The foundations of Website positioning are critically vital in creating belief indicators for AI, however visibility now is determined by how persistently a model reinforces its narrative throughout digital channels. Advertising groups want to revamp how they work throughout Website positioning, content material, communications, knowledge, and model governance to compete on this new surroundings.”

Each quotes level towards the identical underlying argument that runs by way of the report’s integration statistic: Website positioning fundamentals stay mandatory however are not ample on their very own. A model can rank nicely in standard search outcomes whereas nonetheless performing poorly throughout AI-generated solutions if its content material, third-party citations, and cross-channel narrative aren’t managed as a coordinated system.

How the framework separates discovery from credibility

Adobe’s personal model visibility supplies, printed alongside the Semrush knowledge, describe a three-part construction for the way AI techniques consider a model earlier than recommending it to a consumer. The primary layer issues whether or not AI can discover a model in any respect, a operate of the underlying authority and relevance indicators a website has amassed. The second layer, which Adobe frames as readability, asks whether or not AI understands the model appropriately as soon as it has been discovered, since a quotation constructed on outdated or inconsistent info can misrepresent an organization even when it succeeds at producing a point out. The third layer, authority, determines whether or not AI will really suggest the model as soon as it understands what the model presents, quite than merely acknowledging that the model exists.

That layered framing maps onto the mention-versus-citation distinction the underlying immediate knowledge revealed. A model can clear the primary layer, showing in AI conversations, with out clearing the second or third, which means it by no means accumulates the structured, citable content material that might make an AI system snug recommending it over a competitor. Adobe’s supplies describe this development as requiring coordinated funding throughout owned content material, third-party validation, and technical structuring of services or products info quite than a single optimization tactic utilized in isolation.

Context: a yr of accelerating AI search measurement

The June 26 index arrives roughly seven months after Adobe accomplished its acquisition of Semrush, a deal PPC Land reported in detail when it was introduced on November 19, 2025. Adobe paid $12 per share in an all-cash transaction valuing Semrush at roughly $1.9 billion, a deal explicitly framed on the time round serving to manufacturers handle visibility throughout massive language fashions and conventional search engines like google and yahoo concurrently. The AI Visibility Index 2026 represents one of many first main joint analysis outputs printed below that mixed possession construction, with contributions from executives at each firms.

Semrush’s personal prior disclosures illustrate why the measurement hole the brand new survey paperwork has been constructing for a while. The corporate revealed in October 2025 that it had almost tripled its personal AI share of voice, from 13% to 32% in a single month, in accordance with PPC Land’s earlier coverage of that disclosure, after discovering that ChatGPT really useful each certainly one of its rivals however by no means talked about Semrush itself, regardless of the corporate’s personal weblog content material being cited a whole lot of instances by the identical platform. That episode illustrated, on the scale of a single firm, the identical mention-versus-citation hole the 2026 index now quantifies throughout greater than 1,200 tracked manufacturers.

Separate Semrush analysis printed earlier in June examined how business-oriented content material performs inside AI quotation techniques particularly. That research, covered by PPC Land on June 9, 2026, analyzed 89,000 LinkedIn URLs cited throughout ChatGPT Search, Google AI Mode, and Perplexity, discovering LinkedIn ranked because the second most-cited area in AI search responses at an 11% quotation fee, trailing solely Reddit. The findings complement the broader industry-wide patterns the AI Visibility Index 2026 paperwork, since each level towards third-party and neighborhood platforms carrying disproportionate weight in how AI techniques assemble solutions about manufacturers and enterprise matters alike.

The journey and retail site visitors figures Semrush cited within the June 26 launch additionally construct on a development Adobe has tracked publicly for nicely over a yr. Adobe reported a 1,100% year-over-year enhance in AI site visitors to United States retail websites when it launched its LLM Optimizer product in October 2025, a determine PPC Land documented at the time. The newer 1,324% determine overlaying the longer October 2024 by way of Could 2026 window suggests the underlying progress fee has not slowed materially since that earlier disclosure, even because the AI search class itself has matured and diversified throughout extra platforms.

Why this issues for entrepreneurs

For paid search and natural search practitioners, the report’s central statistic, the 81% versus 36% hole between built-in and siloed AI-Website positioning methods, presents one of many few quantified arguments accessible for restructuring how advertising and marketing groups are organized round AI visibility work. Many organizations constructed Website positioning groups, content material groups, and public relations features as separate reporting strains lengthy earlier than AI-generated solutions turned a significant discovery channel. The Semrush knowledge means that separation now carries a measurable efficiency value, although the survey doesn’t set up which particular organizational adjustments, shared reporting constructions, unified tooling, or cross-functional governance, drive the distinction most instantly.

PPC Land’s protection of the broader AI visibility measurement panorama has documented a recurring theme throughout a number of distributors and analysis efforts all through 2025 and 2026: manufacturers persistently underestimate how a lot of their AI-era visibility is determined by sources they don’t instantly management. A separate Similarweb research, detailed by PPC Land, discovered that AI-recommended manufacturers have been 2.5 instances extra prone to obtain an internet site go to inside seven days of a advice, regardless that customary analytics instruments seize nearly not one of the interplay that led to that go to. The measurement downside Semrush describes and the traffic-attribution downside Similarweb describes are, in impact, two views of the identical underlying shift: AI techniques now mediate a significant share of brand name discovery by way of a pathway that produces nearly no knowledge path till nicely after the affect has already occurred.

For publishers and content material platforms particularly, the focus knowledge by {industry} vertical carries its personal implications. Classes reminiscent of Finance and Industrial, the place the highest three manufacturers account for lower than half of whole class visibility, might signify areas the place unbiased and area of interest publishers retain extra affect over AI quotation patterns than in classes reminiscent of Information and Media, the place three dominant manufacturers already declare over 80% of the visibility Semrush measured. That distinction issues for advertisers deciding the place to spend money on earned media or content material partnerships supposed to construct AI-era discoverability quite than standard search rankings alone.

Timeline

• September 2025: Semrush launches the unique AI Visibility Index, primarily based on an preliminary pattern of two,500 prompts.
• October 2025: Semrush discloses tripling its personal AI share of voice from 13% to 32% in a single month after discovering ChatGPT really useful rivals however not Semrush itself.
• October 14, 2025: Adobe launches LLM Optimizer, citing a 1,100% year-over-year enhance in AI site visitors to United States retail websites.
• November 19, 2025: Adobe broadcasts its $1.9 billion acquisition of Semrush.
• January by way of April 2026: Semrush collects the 126 million United States AI search prompts underlying the expanded index.
• June 9, 2026: Semrush publishes separate analysis on 89,000 LinkedIn URLs cited throughout AI search platforms.
• June 26, 2026: Semrush publishes the expanded 2026 AI Visibility Index, primarily based on the total 126 million-prompt dataset.

Abstract

Who: Semrush, the search and generative engine optimization platform working below Adobe possession since November 2025, printed the analysis. Rachel Thornton, chief advertising and marketing officer of Adobe Enterprise, and Andrew Warden, vp of promoting at Adobe and former chief advertising and marketing officer of Semrush, offered commentary included within the announcement.

What: Semrush launched the expanded 2026 AI Visibility Index, analyzing 126 million United States AI search prompts collected between January and April 2026 throughout ChatGPT, Google Gemini, Google AI Mode, and Google AI Overviews. A companion marketer survey discovered that 81% of organizations integrating Website positioning and AI visibility right into a single workflow reported elevated AI-platform site visitors or leads, in contrast with 36% amongst organizations managing the 2 individually. Adobe site visitors knowledge cited in the identical launch confirmed AI-referred site visitors to United States retail websites up 1,324% and to journey websites up 2,215% between October 2024 and Could 2026, whereas 45% of surveyed advertising and marketing leaders stated they can not precisely measure their very own model’s AI visibility.

When: Semrush printed the index on June 26, 2026. The underlying immediate knowledge was collected from January by way of April 2026.

The place: The immediate dataset covers United States AI search exercise particularly. The report and its accompanying instruments can be found by way of Semrush’s web site and Adobe’s enterprise web site.

Why: The findings matter as a result of they connect a quantified efficiency hole to a structural alternative many advertising and marketing organizations haven’t but revisited: whether or not Website positioning, content material, and AI-visibility features function as one coordinated self-discipline or as separate reporting strains. With AI-referred site visitors climbing by multiples in classes reminiscent of journey and retail, and with fewer than one in ten advertising and marketing leaders capable of observe each related AI-visibility metric, the report frames integration much less as a greatest observe and extra as a measurable driver of whether or not a model’s funding in AI-era discovery really converts into site visitors.