By the time it completed in early June, the industry had experienced some of the most significant ranking volatility seen in years. Volatility spikes were observed around 23rd May and again on 30th May, and dashboards across the industry started flashing red within hours of the rollout beginning.
For many site owners and marketing teams, the instinct was to look for what they’d done wrong. But understanding this update properly means looking at a bigger picture — one where a routine algorithmic reset is happening against a backdrop of the most fundamental shift in how Google Search works in over two decades.
What The May 2026 Core Update Actually Said
Google’s official framing was characteristically brief. The update was described as “a regular update designed to better surface relevant, satisfying content for searchers from all types of sites.” No new guidance. No specific targets. No industry-level breakdown of what changed.
This is the second Search core update of 2026, following the March core update which finished rolling out on 8th April after 12 days. Google also released a spam update and a Discover core update earlier in the year, making 2026 one of the more active periods for algorithm changes in recent memory.
Google’s position is clear: there aren’t specific actions you can take to recover from a core update. A negative rankings impact doesn’t necessarily mean anything is wrong with your pages. The biggest ranking recoveries, if they come, tend to follow the next core update rather than arriving in between.
If your rankings moved — in either direction — the honest advice is the same as it has always been after a core update: assess your content quality against your competitors, look for gaps in depth and usefulness, and resist making reactive changes based on a week or two of volatile data.
The Bigger Context: Google I/O 2026 And The AI Search Shift
What makes the May 2026 core update different to analyse is the context in which it landed. The timing is notable: just 48 hours after Google I/O 2026 — where Google presented what it described as one of its largest Search upgrades in years.
Google I/O 2026 brought what Google called the biggest Search overhaul in 25 years. AI Mode has now surpassed one billion monthly users just one year after launch, with query volume hitting an all-time high last quarter.
The structural changes announced are significant. The search bar has been completely rebuilt around Gemini 3.5 Flash. The new search field expands to accommodate longer, conversational queries. Users can attach images, documents, videos, and Chrome tabs directly to a search, and the interface slides between traditional results, AI Overviews, and full AI Mode conversations without leaving the page.
The most structurally novel announcement is the introduction of Search Agents — persistent autonomous agents that run within Search and operate without requiring the user to submit a new query. This is a meaningful departure from how search has always worked: reactive to explicit queries. Agents that operate persistently change the fundamental model of how users interact with Google.
Conversational continuity has also changed. Follow-up questions can now be asked directly from within an AI Overview, flowing into a back-and-forth exchange in AI Mode without the user needing to navigate away.
What This Means For Organic Traffic
The traffic implications of these changes are real and already measurable. Position one organic CTR on queries where AI features appear has dropped from 27% to as low as 11%, based on SISTRIX data from March 2026. Zero-click searches now account for 58.5% of all US Google searches.
AI Overviews have caused 20–40% traffic declines for informational queries on sites that haven’t adapted — while simultaneously creating new authority-building opportunities for those that have.
The key insight is that ranking number one on Google no longer guarantees clicks. Being cited inside AI Overviews is the new visibility currency.
There is also an important distinction that many SEO teams are missing. Only around 14% of URLs appearing in AI Mode citations overlap with AI Overview citations. Ranking well in one AI surface does not translate directly to the other. These are separate optimisation targets.
If your Search Console shows impressions rising while clicks and CTR are falling, you are already seeing this effect in your own data. AI Overviews are absorbing traffic that used to reach your pages. This isn’t a penalty — it is a structural shift in how results are served and consumed.
What You Should Actually Do Now
The good news is that the core principles Google has always rewarded haven’t changed. Content that genuinely helps people wins. Content written for bots or stuffed with keywords loses. The May 2026 core update didn’t introduce a new standard — it applied existing standards to a search landscape that is now substantially driven by AI surfaces.
Here is what the data and the I/O announcements suggest you should be focused on:
Audit your informational content first
In Google Search Console, filter your performance report by query type and look for a pattern: informational queries — how-to, what-is, explainer content — losing clicks while branded and transactional queries hold steady. That signature points to AI Overview impact rather than a core update penalty. The two have different fixes, and conflating them wastes time.
A thorough content SEO audit that maps your current content against actual search intent — and identifies where AI Overviews are now satisfying user queries before they reach your page — gives you a clear picture of where to focus effort.
Build content that AI surfaces want to cite
Being cited in AI Overviews and AI Mode requires a different kind of content investment than simply ranking well. Structured, clearly attributed, expert-authored content that directly and comprehensively answers specific questions is what earns citation. Google published its first official AI search optimisation guide covering crawlability, content structure, and technical SEO foundations for AI Mode and AI Overviews.
Our guide to SEO for AI Overviews breaks down the content and structural characteristics that consistently earn placement, and is worth reviewing alongside any content audit you run in the coming months.
Treat your technical foundations as non-negotiable
AI crawlers, Search Agents, and the Gemini-powered systems now driving Google’s answers all depend on your site being accessible, fast, and structurally clear. Technical SEO services ensure your site is fully accessible and legible to AI crawlers, agents, and the Gemini-powered systems now driving Google’s answers.
If your technical SEO foundations — crawlability, indexation, page speed, structured data — aren’t solid, no amount of content quality will fully compensate. This is a case where the basics matter more, not less, as AI systems become the primary interface between your content and your audience. A structured data audit is a particularly high-value investment right now, given how heavily AI surfaces rely on machine-readable signals to understand and attribute content.
Invest in Generative Engine Optimisation (GEO)
GEO is no longer an emerging specialism — it is a mainstream requirement for any business that wants to maintain visibility as AI surfaces become the default search experience for more queries. Optimising for generative engine optimisation for UK brands covers the specific content, authority, and technical signals that drive citation in AI-generated answers, and the approach is distinct enough from traditional SEO that it warrants dedicated strategic attention. Our GEO services are built around helping businesses establish the kind of cited authority that AI surfaces reward.
Diversify beyond click-dependent traffic models
If your current content strategy depends heavily on informational traffic clicking through to your site, the zero-click trend requires a rethink. The goal shifts from maximising traffic to maximising cited authority — being the source Google and AI systems reference, even when the user doesn’t click. This means your brand, your expertise, and your content need to be visible and credible across AI surfaces, not just in the ten blue links below them.
Working with an organic marketing company London that understands both the traditional SEO landscape and the emerging AI search environment is increasingly the difference between adapting well and losing ground steadily.
FAQs
Did the May 2026 core update specifically target AI-generated content?
Google hasn’t confirmed specific targets, and its guidance was vague as usual. However, the update arrived just after Google I/O 2026 and in the context of significant AI search expansion, which has led many in the industry to speculate about a connection. The safest interpretation is that the update continued Google’s long-standing focus on genuinely helpful, people-first content — which remains the right response regardless of the mechanism.
My rankings dropped in the May 2026 update. What should I do?
Avoid making reactive changes in the first few weeks. Early volatility often settles once the rollout completes. Instead, run a structured assessment: compare your pages to those that outranked you and identify meaningful differences in depth, expertise, and usefulness. Also check whether your drops are concentrated in informational queries, which would suggest AI Overview impact rather than a core penalty.
Is AI Mode becoming the default search experience?
It’s moving in that direction. AI Mode is not yet the universal default, but follow-up questions from standard searches now funnel directly into AI Mode conversations. For many query types, especially informational and exploratory searches, a significant portion of users are now getting answers without clicking to any website.
Does ranking well in traditional search still matter?
Yes — strong traditional rankings still correlate with AI Overview citations, and transactional and branded queries continue to drive meaningful click-through traffic. The goal is to be strong in both traditional and AI surfaces, not to choose between them.
How should I measure SEO performance given the shift to zero-click searches?
Supplement click and traffic metrics with impression share and brand search volume data. Being cited in AI Overviews may not generate a click but it does build brand familiarity. Our data and analytics team can help you build a measurement framework that captures the full picture of your search presence rather than just the traffic that reaches your site.
Don’t Wait For The Next Update To Start Adapting
The May 2026 core update is a data point. The Google I/O 2026 announcements are the direction of travel. Together, they paint a clear picture: search is changing structurally, and the businesses that adapt their content, technical infrastructure, and optimisation strategy to the AI search era now will be significantly better placed than those that wait for the next volatility spike to prompt action.