I’ve been building and scaling search-driven acquisition systems for the better part of my career, and I can honestly say I’ve never seen the ground shift under marketing teams as quickly as it has this year.
2026 isn’t a year where AI search “arrived.” It’s the year it took over the front door of Google itself, rewrote how budgets get allocated, and quietly changed what actually counts as a successful marketing campaign.
I run Essheo, a search marketing agency working across the UK and US, and I spend most of my week looking at exactly this shift on behalf of clients in hard, competitive sectors. What I want to do in this post is give you an honest, current picture of what’s actually changed in 2026, backed by real data rather than speculation, and what I think marketing leaders should be doing about it right now.
What Has Actually Changed in AI Search This Year?
The biggest structural change happened at Google I/O 2026, when Google formally merged AI Overviews and AI Mode into a single connected search experience across desktop and mobile worldwide.
Before this, AI Overviews were a summary sitting above the normal results. Now they act as the front door into a full conversational AI Mode session, meaning a single search can turn into an extended back and forth that never touches a traditional results page at all.
Gemini 3 became the default model powering AI Overviews globally from late January 2026, and by September 2026, Google’s AI Mode was reportedly running partly on Gemini 3.7 Flash.
Then, on 19 August 2026, Google began rolling generative UI, meaning custom calculators, visualisations and interactive tools built on demand, out of AI Mode and into AI Overviews, expanding that capability from roughly 1 billion AI Mode users to around 2.5 billion monthly AI Overview users.
I mention these dates deliberately, because I think a lot of marketing teams are still working off a mental model of AI Overviews from 2024, and that model is now badly out of date.
How Has Google’s AI Overviews Rollout Evolved?
The pace of change inside AI Overviews itself has been relentless. In May 2026, Google rolled out what it called its biggest update since AI Overviews launched, moving inline citations to sit directly next to the specific text they support, adding hover previews showing site names on desktop, and introducing an “Expert Advice” block that pulls first-hand perspectives from forums, social platforms and review sites.
A “Subscribed” tag now appears when an AI answer cites a publication behind a paywall the user actually pays for.
By September 2026, Google had started dropping the “Show more” button entirely on some queries, letting AI Overviews expand automatically into full AI Mode-style answers without any click at all.
On 31 August 2026, Google confirmed it was making AI Overviews physically bigger on certain search queries, effectively turning more of the page into an AI-generated response before a user sees a single traditional blue link. I’d argue that’s the clearest signal yet of where Google’s priorities sit for the year ahead.
What Do the New Publisher Controls Mean?
One development I think deserves far more attention than it’s had is Google’s announcement that publishers can now determine whether their websites appear in, and are used by, AI Mode and AI Overviews independently of how they appear in regular Search results.
This is a meaningful shift because it separates traditional ranking visibility from AI visibility for the first time at a platform level, which confirms something I’ve been telling clients for a while now. Ranking well on Google and being cited well by Google’s own AI are becoming two separate disciplines that need two separate strategies, even within the same search engine.
How Is This Reshaping Marketing Budgets and Strategy?
The commercial side of this shift is just as significant as the product side, and it’s forcing some uncomfortable conversations in a lot of marketing departments right now.
How Much Are CMOs Actually Spending on AI?
According to Gartner’s 2026 CMO Spend Survey, marketing leaders now allocate an average of 15.3% of their marketing budgets to AI initiatives. Yet only 30% of marketing organisations report having mature or fully developed readiness to actually scale those capabilities.
That gap between spend and competence is one I see constantly when I talk to businesses who’ve bought AI tools without the strategic framework to use them properly.
What’s more telling is where that money is coming from. Gartner pegs overall marketing budgets at just 7.8% of company revenue in 2026, only a tenth of a point up on 2025, and roughly 18% below the average allocation four years earlier.
That means most CMOs aren’t getting a fresh budget for AI. They’re funding it by reallocating spend away from something else, and Chief Marketer’s reporting on the same survey found martech’s overall share of budget has actually dropped to a five year low of 19.4%, down from 26.6% in 2021.
I think this is exactly why 56% of CMOs say they lack the budget to deliver their 2026 strategy at all, and 54% report insufficient resources generally.
Is Paid Advertising Also Shifting Toward AI?
Very much so, and faster than most people expect. Industry forecasts suggest AI could influence or control up to 75% of digital ad spend by the 2027 financial year, with brands largely shifting existing budgets into AI-driven channels rather than adding new money on top.
I’ve watched this play out first hand. Businesses I speak with are increasingly asking not “should we run paid ads,” but “which platforms and AI surfaces should our paid budget actually be supporting,” which is exactly why we treat paid media as a supporting channel at Essheo rather than the main event. The organic and AI visibility work has to come first, because that’s what compounds.
How Are Consumers Actually Using AI in Their Buying Journey?
McKinsey’s most recent consumer sentiment research found that 44% of consumers who use AI search now say it’s their most preferred source of information, ahead of traditional search engines at 31%, retailer and brand sites at 9%, and review sites at just 6%.
Among consumers planning to use AI for holiday shopping in 2026, 62% said they use it to compare brands, models, prices and reviews, 55% use it to learn more about a category, and nearly half use it purely for product discovery and inspiration.
This is precisely why McKinsey’s own researchers are now telling consumer businesses to focus on optimising product listings for generative engine optimisation to ensure their products actually appear in AI search results.
Semrush’s data, cited in that same research, found that affiliate blogs now make up the single largest share of AI-generated search citations at 50%, equal to the combined share from user-generated content, academic research, brand sites, and news media put together.
That statistic alone should change how any business thinks about digital PR and third-party content partnerships in 2026.
What Should Marketing Teams Actually Do Differently Now?
I get asked this on almost every discovery call I run, and my honest answer is that it’s less about abandoning what’s worked and more about adding a genuinely new layer of discipline on top of it.
Does Google’s Own Policy Enforcement Affect AI Content Strategy?
Yes, and this is a change I think a lot of businesses have missed. On 15 May 2026, Google confirmed that its spam policies now formally apply to manipulative attempts to influence its generative AI features, explicitly including AI Overviews and AI Mode, not just traditional organic rankings.
This came shortly before Google’s June 2026 spam update, and Google has run three separate spam updates across 2026 so far, in March, June and August.
What this tells me is that Google is actively policing manipulation of its AI answers the same way it’s policed manipulation of organic rankings for two decades. Any agency or in-house team trying to game AI citations through low-quality, artificially stuffed content is now taking on genuine risk, not just wasted effort.
The tactics that work sustainably are the same ones that have always worked: genuine expertise, credible sourcing, and real usefulness to the reader, which is exactly the standard we hold every piece of client content to at Essheo.
Should Businesses Still Prioritise Google Above Other Platforms?
I’d say no, and the data increasingly backs that instinct. With AI Overviews now reaching an estimated 2.5 billion monthly users following the generative UI rollout, Google clearly still matters enormously.
But Google’s own “Expert Advice” blocks are now actively pulling content from forums, social platforms and review sites directly into its AI answers, which means visibility on Reddit, YouTube, LinkedIn and industry publications increasingly feeds directly into Google’s own AI results, not just standalone AI tools like ChatGPT or Perplexity.
This is the exact thinking behind what we call search everywhere optimisation at Essheo. Rather than treating Google, ChatGPT, YouTube and social platforms as separate boxes to tick, we treat them as one interconnected discovery ecosystem, because as of 2026, that’s genuinely how Google’s own systems are treating them too.
How Should Teams Measure Success in This New Landscape?
This is where I think most marketing departments are still behind. With inline citations, Expert Advice blocks, generative UI tools and conversational hand-offs into AI Mode all now live inside a single Google search, a simple click-through rate no longer tells you whether your content is actually influencing the buyer’s decision.
I’d strongly recommend building a dedicated referrer segment for AI Overviews, AI Mode, ChatGPT, Perplexity and Copilot traffic specifically, so you can see how these visitors behave differently from standard organic traffic, because in my experience they very often do.
Given that Gartner found only 30% of marketing organisations feel genuinely ready to scale their AI capabilities,I think the businesses who invest properly in measurement now, rather than assuming their existing GA4 setup already captures this, are the ones who’ll be able to prove ROI to their board while their competitors are still guessing.
Ready to Get Ahead of the Shift Rather Than React to It?
If there’s one thing I’d want a marketing director or business owner reading this to take away, it’s that 2026 has been the year AI search stopped being an emerging trend and became the primary way Google itself serves answers to hundreds of millions of people a day. That’s not a future risk to plan around eventually. It’s happening in your search results right now, whether or not your current strategy accounts for it.
At Essheo, we built our approach specifically for this moment. We rank businesses across Google, LLMs, YouTube and social platforms, not just one of them, and every practitioner on our team brings 8 plus years of experience winning in genuinely difficult, competitive sectors against household name competitors.
Our clients have generated over £45 million in combined revenue over the last two years through the search marketing systems we’ve designed and implemented, and we built that track record on real operational experience, having scaled acquisition for a business doing hundreds of installations a month, not in theory borrowed from a textbook.
We’ll start with honest discovery and analysis of exactly where your business currently stands across Google, AI platforms and social search, then build you a tailored roadmap designed to get quick wins in the first few months while building the long-term authority that compounds over 12 to 18 months. Whether you want us running things hands-off with regular reporting, or working hands-on alongside your existing team, that choice sits entirely with you.
I’d genuinely rather have an honest conversation with you now about where your business stands in this new AI-driven search landscape than have you come to us next year having lost ground you didn’t need to lose.
Book a strategy call with me, and let’s talk about what these changes actually mean for your business, and what we can do about it together.