SEO 25 May 2026 22 min read 97 view

Google Core Update 2026 and AI Overviews: Why Traditional SEO Is Changing

Updated: 25 May 2026

Language: 🇺🇦 🇺🇸 🇩🇪 🇪🇸

Vadim Kharovyuk

CEO & Founder of WebsCraft. 8 years in web development, focused on bringing AI into real products.

Google Core Update 2026 and AI Overviews: Why Traditional SEO Is Changing

On May 21, 2026, Google officially launched the May 2026 Core Update — the second broad algorithm update in less than two months. The first, in March, concluded on April 8 and showed record volatility: nearly 80% of URLs in the top 3 changed positions, and 24% of pages from the top 10 completely dropped out of the top 100. The May update follows, not allowing the market to stabilize.

But if you only look at the volatility numbers, you might miss the main point. Behind two consecutive updates lies a systemic shift: Google is rebuilding its ranking logic for the AI era. The introduction of AI Overviews and AI Mode with an audience of over 1 billion users per month is not an interface feature. It's a new search architecture that changes the role of websites, the logic of traffic, and what is actually worth competing for in SEO.

In this material, I'm not just retelling Google's official statements. I offer an analysis of what is really happening — with data, numbers, and practical conclusions. For those who want not just to understand the changes, but to know what to do with them.

1. What is the 2026 Core Update and how does it differ from previous ones

A Core Update is a broad reassessment of Google's algorithm that is not tied to a specific tactic or violation. It is not a penalty or a "ban" of pages. It is a redistribution: some sites grow, others fall — solely due to how Google has changed the weight of different quality signals relative to competitors in the niche.

An important technical detail: during a rollout, Google gradually updates its data centers worldwide. The same search query can hit an "old" or "new" index — depending on which data center is processing it at a given moment. This is why Google Search Console shows chaotic jumps during the two-week rollout: effectively, two algorithms are processing traffic simultaneously during the transition period. No conclusions can be drawn from this data — you need to wait for completion.

In 2026, Google has already launched two broad updates in four months — and both differ from previous cycles by one key parameter: context. According to Search Engine Land, the May 2026 Core Update started on May 21 — literally a day after the conclusion of Google I/O 2026, where Google announced the rollout of AI Mode, Gemini 3.5 Flash, and that AI Overviews already serve over 2.5 billion queries monthly, and AI Mode has surpassed the mark of 1 billion monthly users.

By the way, about Gemini 3.5 Flash. I have analyzed this model in detail in a separate material — after all, it became the first in the new 3.5 lineup and immediately came out in a stable GA version. In the article, I explain why Google changed the default thinking level from high to medium, how to correctly calculate the cost of agent queries through caching ($0.15 instead of $9), and why this model is a real breakthrough for agentic workflows, despite having two regressions in abstract thinking. If you are building systems with tool calling, be sure to check it out.

This is significant. Google officially does not "link" updates to AI announcements. But the logic is obvious: for search AI functions to provide quality answers, the index from which they draw information must be cleaner and more reliable. According to Launchcodex analysis, content quality is now directly linked to visibility in AI citations — both dimensions are connected at the infrastructure level. Sites that build quality for traditional SEO automatically build it for AI visibility as well.

What distinguishes 2026 from previous cycles is not just the scale of volatility. It is the transition to an iterative update model: two consecutive updates in 6 weeks is a signal that Google is continuously raising quality thresholds, rather than waiting quarterly. The strategy of "let's wait for the next big update" is no longer sufficient.

Coalition Technologies emphasizes: the biggest recovery shift usually occurs not after one's own actions, but after the next Core Update, when the algorithm "notices" the improvements made. Therefore, action must be taken now — so that the next update "sees" the changes.

Chronology of 2026 Updates (as of May)

Update	Start Date	End Date	Duration	Key Focus
February 2026 Discover Update	February 5	~February 10	~5 days	Discover feed, English non-US publishers
March 2026 Spam Update	March 24	March 25	<20 hours	Cloaking, artificial links, mass unmonitored AI content
March 2026 Core Update	March 27	April 8	12 days	Content quality, E-E-A-T, intent relevance
May 2026 Core Update	May 21	~June 4 (expected)	up to 2 weeks	AI-first quality, entity signals, content depth

Sources: Search Engine Land, PBN.ltd

Also read: a detailed analysis of the March update with personal experience in GSC — March 2026 Core Update: Traffic is falling, but you haven't violated anything.

2. How AI Overviews have changed Google search behavior

Understanding the 2026 Core Update without understanding AI Overviews is like analyzing changes in traffic flow without knowing about new interchanges. AI Overviews are not just an "answer box" in search results. It's a structural change in *how* Google delivers value to the user — and what role websites play in this.

I wrote about this phenomenon back in late 2025 — and at the time, many perceived it as another "scare tactic." But today, the numbers speak for themselves. In the article "Zero Clicks 2025: How AI Overviews Kill SEO Traffic", I analyzed in detail:

why 69% of Google searches already end without a single click;
how AI Overviews reduce organic result CTR by 34–61%;
and most importantly — what really works: my personal GEO-optimization cases that brought back traffic after a 38% drop.

That material is about the evolution from "chasing clicks" to "chasing citations in AI." And the May 2026 Core Update is direct confirmation of what I wrote then.

Previously, a website was the end product of search: Google found it, the user clicked, read, and solved their problem. Now, a website is increasingly becoming a source for an answer, which Google generates itself and displays directly in search results. The site may not even get a click, even though its data formed the basis of the AI answer.

For SEO, this means a fundamental disconnect between two metrics that previously moved synchronously: position and traffic. In 2026, these metrics need to be tracked and analyzed separately — because their causes and solutions are fundamentally different.

Here's what the numbers say:

60% of all traditional Google searches end without a click (Digital Applied, 2026).
83% of searches that trigger AI Overviews end without a click (Semrush / Pasquale Pillitteri, September 2025).
93% of searches in AI Mode are without a click (same sources).
Organic CTR for position #1 for queries with AI features has dropped from ~27% to 11% (SISTRIX, March 2026, via Launchcodex).
CTR for top pages for keywords with AI Overviews is 58% lower according to Ahrefs (seo-kreativ.de, February 2026).
One documented case: impressions increased by +27.56% year-over-year, but clicks dropped by -36.18%, CTR from 5.98% to 3.35%, even though average positions *improved* by 14% (Dataslayer).
According to Gartner forecasts, by the end of 2026, 25% of organic search traffic will shift to AI chatbots and voice assistants.

The picture painted by this data is unambiguous: even queries without AI Overviews already show a 41% drop in organic CTR — meaning users are clicking less overall, regardless of the presence of an AI block. This is a systemic shift in behavior, not a single feature's effect.

This is not a bug or a temporary fluctuation. It is a new structural reality of search. Marketing4eCommerce puts it precisely: *ranking well is no longer the same as getting traffic*.

But there is also a fundamentally important other side. Brands that are cited in AI Overviews receive 120% more organic clicks per impression compared to those not cited — and a stable advantage of approximately 4 percentage points in paid search CTR throughout 2025 (Seer Interactive, April 2026).

In other words, the game has changed not from "being in the top 1" to "not being in the top 1" — but from "being in the top 1" to "being a source that Google decides to cite." These are fundamentally different strategies. The first is about position in search results. The second is about the algorithm's trust.

Read in detail about how Google officially equates AI Overview manipulation with spam and what this means for the content market in the article: Google Spam Policy 2026: AI Overview manipulations are now officially spam.

3. How Google Evaluates AI Content in 2026

The most common misconception is that Google "punishes AI content." This is inaccurate and leads to wrong conclusions.

According to OrangeMonke, Google's position is clear and unwavering: AI content as such is not the problem. The problem is unedited, generic, or mass-produced content that adds no original value. Quality and originality are the benchmarks, not the production tool.

In other words, the question is not "written by AI or human," but "is there anything here that cannot be found in 50 other places." If the answer is "no," the page is at risk, regardless of who wrote it.

What Google evaluates negatively in 2026:

Duplication of meaning between pages — when hundreds of pages say almost the same thing, the algorithm becomes more aggressive in filtering duplicates. ViaCoN emphasizes: "Google no longer rewards scale."
Lack of original experience — content that simply rephrases the top 10 results without its own conclusions, real data, or practical context.
Template structure and argumentation — identical H2s, identical "lists of 5 points," identical introductions. Google recognizes mass-production structural patterns.
Low information density — many words, little unique information per unit of text. Content that is "stretched" for volume without real substance.
Keyword matching instead of intent — a page is optimized for a word but does not answer the user's actual query. OrangeMonke points out: "content created primarily for keywords, rather than user needs, becomes less effective."
Lack of author verification — SEO Vendor notes: there is a direct link between author verification as an entity and ranking effectiveness after the December 2025 Core Update. Anonymous content loses positions.

SEO Vendor notes an important milestone: as early as the March 2024 Core Update, "unhelpful" content in the results was reduced by 40%. The May 2026 standards are built directly on this foundation – the bar has been raised even higher. What passed the filter in 2024 may not pass it in 2026.

The key change in evaluation logic is that Google now analyzes patterns across the entire site, not on individual pages. ClickRank describes it this way: "The AI evaluation system looks at patterns across the entire site, not individual pages. The weakness of one signal can reduce the effect of strong signals in other sections."

This means: 10 weak pages can drag down 100 strong ones. Not just specific "bad" pages will lose; the entire site will lose if its structure contains a large volume of low-quality content.

Google begins evaluating not only content but also contribution

A few years ago, SEO could work effectively through scaling informational content. Many sites received traffic by rewriting existing materials, aggregating information, or creating dozens of similar pages for different keywords.

rewriting existing materials;
aggregation content;
scaling informational pages;
creating a large number of similar articles for search intent.

But AI Overviews are changing this model. Google no longer needs thousands of pages to provide basic information summaries, as it has learned to aggregate and synthesize answers directly within search.

Google performs aggregation itself;
summarization becomes a built-in search function;
"another article on the same topic" gradually loses value.

In this model, the value of content that adds new information or real expertise, rather than just repeating existing materials, increases.

original data;
own research;
expert experience;
primary sources;
unique observations;
practical case studies.

In the new model, sites that:

add new information to a topic;
become a source for citation;
help the AI system form an answer;
create content that is difficult to simply compile from other pages.

AI search rewards contribution more than repetition.

This is one of the main changes in the era of AI search: Google is gradually moving from evaluating "content presence" to evaluating its real contribution to the information space.

For example, if 50 sites rewrite an article on "what is an AI crawler," and one site publishes its own research on GPTBot behavior or an analysis of AI crawler traffic logs, it is that site that has a significantly greater chance of becoming a source for AI Overviews.

Previously, Google ranked pages. Now, AI systems are increasingly choosing sources.

4. What types of sites most often lose positions

Data from Amsive's analysis after the March update provides a clear picture of the losers. Even large, authoritative publishers in YMYL niches recorded significant losses: Cleveland Clinic -11.5%, WebMD -9.1%, KidsHealth.org -19.4%, MerckManuals -18.8%.

This is an important signal: brand reputation is no longer a "floor" in ranking evaluation. Google is willing to demote even established publishers in favor of primary sources they cite.

Categories of sites that consistently lose:

Mass AI content sites without editorial processing — according to Elsner Technologies, they are hit hardest compared to previous updates.
SEO aggregators and directory sites — Amsive notes that aggregators, directories, and comparison sites are among the consistent underperformers.
Content without authorship and proven expertise — the absence of a verified author with real experience in the topic lowers the E-E-A-T score.
Broad-topic sites with superficial coverage — a little about everything = nothing specific.
Pages focused solely on keyword matching — when a page is optimized for a word but does not fulfill the actual query intent.
Content that paraphrases others without its own contribution — restructuring others' top 10s without original analysis, data, or experience.

Characteristic statistics: according to observations by MonsterMegs, AI content "farms" lost between 60 and 80% of traffic after the March update.

5. Which sites win in the new ranking system

I am convinced: the winners of 2026 are not the largest sites. Nor are they those that publish most frequently. The picture emerging from data from several independent studies paints a very specific profile of a winning site.

Digital Applied notes: sites with original research, their own tool screenshots, and internal analytics showed an increase in visibility by 15–25%.

Key characteristics of winners:

Original data and primary source experience. Own research, case studies, screenshots from real tools, personal analysis — things that cannot be replicated by mass generation.
Narrow thematic depth. Sites that cover one niche deeply and comprehensively consistently outperform broad-topic competitors with superficial coverage.
Verified expert authors. A verified author with real experience in the topic is a positive E-E-A-T signal that Google began considering as early as December 2025.
Clear intent matching. The page provides exactly what the person wanted to find — no more "for SEO" and no less "because it's a template."
Entity signals and recognizable brand. More on this in the next section.

According to Abhishek Gautam, sites with their own research and verified expert authors are simultaneously growing in traditional search and appearing more often in AI Overviews. This means the same strategy addresses both challenges: both search positions and visibility in AI answers.

This is fundamentally important: you no longer need to choose between "SEO" and "content for AI." High-quality, primary, expert content is the optimal strategy for both channels.

6. The role of entity-based SEO in Core Update 2026

In my opinion, the most underestimated change of 2026 is how Google works with text. It "reads" it less and "understands entities" more. This is not a metaphor — it is a technical shift in indexing logic.

Entity-based SEO is about ensuring Google clearly understands who your brand is, who your authors are, and what topic you are associated with — not just through the text on the page, but through structured data, external mentions, author profiles, and presence signals in the ecosystem.

ViaCon analyzes this shift: Google is transforming into a contextual evaluation system, not just an indexing engine. This changes the publishing equation: volume becomes less critical, while distinctiveness, expertise, and recognizable authority become increasingly important with each subsequent algorithm update.

What specifically influences entity signals:

Connection of authors and organizations — SEO Vendor emphasizes: there is now a direct link between author verification as an entity and ranking effectiveness after the December 2025 Core Update.
Structured data and schema markup — Organization, Person, Article, FAQPage. Generative engines rely on structured data to distinguish entities. This is not a "technical SEO detail" — it is an entry ticket for AI citation.

By the way, about Schema. I've covered this topic in detail in a separate article: "Schema.org Markup: What It Is and Why Your Site Needs It". There, I show with real case studies how adding Product Schema increased CTR by +62%, and FAQ Schema helped get into Featured Snippets and increase traffic by +41%. And most importantly, I explain how to add markup to a site without code in 10-15 minutes.
Citation in external sources — RankTrends notes: earned media provides a median increase in AI citations of 239%.
Brand identity consistency — a consistent name, voice, and topic across all channels (website, LinkedIn, YouTube, author profile) forms a recognizable entity in Google's Knowledge Graph.

Sites with weak brand signals ("weak-brand sites") are declining not because they wrote "bad content." They are falling because Google doesn't understand who they are — and cannot trust them as a source for AI answers.

Skyfield Digital provides alarming statistics: 78% of mid-sized businesses audited in 2026 have zero citation share in AI Mode for their brand category. And 83% of audited sites lack citation-friendly structures (statistics, FAQ blocks, definitions, schema) needed to appear in AI answers.

7. Why AI Content is No Longer an Advantage

2–3 years ago, AI generation provided a real competitive advantage: faster, cheaper, more scalable. Sites that switched to mass content production did indeed get traffic — until Google rebuilt its evaluation system.

In 2026, the logic has fundamentally changed. AI has accelerated production for everyone — so scale has ceased to be a differentiator. If everyone can produce 100 articles a week using AI, it turns content into a commodity — a standardized product with no unique value.

Target River formulates the conclusion directly: AI is not a shortcut to quality. AI can help move faster. But if it leads to bland, repetitive, generic pages without real expertise or originality — these pages are unlikely to last long.

What is valued now instead of scale:

Rare signal — personal experience, own data, unique point of view. Things that cannot be replicated by mass production.
Primary sources — own research, exclusive interviews, original analytics.
Human editing over AI — not rejecting AI, but a human layer that adds depth, critical perspective, and context.
Long-term identity — a trusted brand is more important than any single page.

The turn is bitter, but honest: Google evaluates content relative to competitors. If your competitor publishes less but with real experience and original data — they win. The algorithm simply becomes more sensitive to this difference with each subsequent update.

8. What to do with websites after the Core Update 2026

My most important advice: do not make drastic changes during an active rollout. Why? Because the data in Google Search Console during an update rollout is chaotic. Google is simultaneously processing traffic through the "old" and "new" index across different data centers. What looks like a "drop" today might just be transition noise tomorrow.

After the rollout is complete, follow this logic:

Content Audit

Check intent coverage. Does each of your pages truly answer what a person was searching for? Not "is the keyword in the text," but "does it fully address the real query."
Identify low-signal pages. If you remove your unique contribution, what remains? If the answer is "the same as in 50 other articles" – the page is at risk.
Delete or rewrite weak AI-generated pages. Not "content written by AI," but "content without original value."
Consolidate weak pages into strong hubs. 10 weak articles on one topic are often worse than one deep, comprehensive one.

Strengthening E-E-A-T

Add real authors with proven expertise and verified profiles.
Back up claims with links to primary sources – research, official data, case studies.
Document personal experience: screenshots, own data, conclusions from practice.

Entity and Brand Signals

Set up schema markup: Organization, Person, Article, FAQPage.
Create a clear author profile on your website and external platforms.
Monitor brand mentions in AI answers – Google AI Mode, Perplexity, ChatGPT.

Optimization for AI Citations

Add citation-friendly structures: statistics with links, FAQ blocks, definition blocks, comparison tables. Princeton research shows that such patterns increase visibility in AI answers by up to 40%.
Structure content for direct answers: a short paragraph under a descriptive subheading, not a solid block of text.
Track which queries generate AI Overviews and whether your site is cited in them.

Metrics

Important: after May 2026, track ranking and traffic as two separate metrics. If your position is stable but clicks are falling – it's likely AI Overviews, not a ranking issue. Different causes require different response strategies.

9. How to understand if your site has been affected by the AI shift

The key challenge in 2026 is that different problems look the same in GSC. A drop in clicks could be due to lower rankings (core update), AI Overviews (structural shift), a spam update (if in March), or simply seasonality. The correct diagnosis is the first step to the correct reaction.

Signals of Core Update Impact (Ranking):

A simultaneous drop in impressions and clicks across a cluster of pages.
The decline started during the rollout dates (March 27 or May 21) and continues.
Competitors with less content but stronger brands and authorship are growing.
Unstable rankings for 1-2 weeks, followed by stabilization at a lower level.

Signals of AI Overviews Impact (Traffic without Ranking Change):

Impressions are stable or growing, but clicks are falling – this is almost certainly AI Overviews. Launchcodex emphasizes that these two situations require separate diagnostics.
Average position improved, CTR dropped.
Most queries in GSC are informational (how-to, what-is, why-is).
Manually run these queries in Google and check if there's an AI Overview above the organic results.

Practical Checklist:

Separate Search and Discover traffic in GSC – these are different tabs with different logic.
Compare data from before May 21 (or March 27) with current data.
Analyze by page clusters, not the entire site – declines are usually uneven.
Monitor impressions – they drop before clicks and are an early signal of change.
Do not draw conclusions until at least a week after the rollout is complete.

10. The Future of SEO after the Core Update 2026

I believe the most forward-thinking conclusion after analyzing all the 2026 updates is not simply that "Google has become stricter about quality." It's a change in the very nature of search competition – and what is worth competing for at all.

Classic SEO will never disappear – it will become a necessary condition for entry, but not a sufficient condition for winning. Technical website accessibility, proper structure, speed – these are the "ticket to the game," but not the winning strategy.

Beyond SEO analyzes this shift as follows: Google is no longer just a search engine – it is an aggregator and synthesizer of knowledge. Websites are not competing for the first place in search results, but for the right to be the source that Google decides to cite in its synthesized answers. This is a fundamentally different competitive task.

Three vectors that will define SEO in 2026–2027:

1. SEO = Search Entity Optimization

Classic keyword SEO will not disappear – it will become necessary but insufficient. Alongside it, entity optimization will emerge: managing how Google and AI engines understand who your brand is, what your topic is, and why you can be trusted.

Entity clarity is not an abstract concept. It involves concrete technical and content steps: schema markup for authors and organizations, consistent presence on external platforms, and a unified "voice" and topic across all materials. Google Knowledge Graph must clearly "know" who you are and in what topic you are an authority.

2. GEO — Generative Engine Optimization

GEO — is the practice of optimizing content and brand presence so that generative AI systems (ChatGPT, Perplexity, Claude, Google AI Mode) cite and recommend your brand in their answers. This is a new discipline alongside SEO – and in 2026, it's no longer theory but practice.

According to Goodfirms 2026, 65% of marketers cite AI changes in search as their biggest challenge. However, only 14% have set up any monitoring of AI citations. This gap between problem awareness and action is your current competitive opportunity.

Brands investing in structured, entity-rich content combined with digital PR are 3–4 times more likely to appear in Google AI Overviews within 90 days compared to competitors without such a strategy.

Practical start: choose 10 key queries for your business and check them in Google AI Mode, ChatGPT, and Perplexity. Document who is cited in the AI answers. If you are not there – this is your starting point audit and a baseline for tracking progress.

3. Content as a Source, Not an End Product

A fundamental paradigm shift: a page is no longer an independent unit of value in search. It is a potential source for an AI answer. The question "does my page rank" is supplemented by "does Google cite me in AI Mode."

The Digital Hall puts it starkly: brand visibility in AI answers is now a survival metric, not a vanity metric. If a business doesn't appear in AI answers, the problem is structural. According to Skyfield Digital audits in 2026, 78% of medium-sized businesses have zero citation share in AI Mode for their brand category – even if they hold good positions in traditional search.

Gartner predicts: by the end of 2026, 25% of organic search traffic will shift to AI chatbots and voice assistants. This is a structural change affecting every industry – and it's just beginning.

What will happen after May 2026

The industry is moving towards a model where SEO and GEO are not separate disciplines but a single strategy. Being indexed (SEO) and being cited (GEO) are two different tasks, solved through the same foundation: high-quality, structured, primary source content with a clear entity identity.

Passion Fruit points to another important trend: Google's AI Mode is becoming increasingly personalized – results depend on a specific user's Gmail activity, search history, and calendar. This means brands that already "live" within a person's Google ecosystem (newsletter subscriptions, transactional emails, previous visits) have a real advantage in AI visibility for that specific user. Earned brand presence becomes a direct ranking signal at the individual level.

11. Conclusion

The Core Update 2026 is not about penalties or "AI vs. non-AI." It's about Google building a new search infrastructure around AI functions – and index quality has become directly linked to the quality of AI answers.

Three shifts defining the new reality:

From "pages" to "sources." Sites with the most content won't win; those Google trusts as primary sources will.
The gap between position and traffic. Ranking and clicks are now two separate metrics with different strategies.
Entity and brand are more important than pages. Google evaluates not just the text, but whether it understands who you are and if you can be trusted.

The algorithm is increasingly sensitive to the difference between "just another article on the topic" and "the only place where this experience and data exist." The strategy for 2026 and beyond is not "more content," but "content that cannot be replaced."

📖 Related Materials

Core Update March 2026 — analysis of the first update, GSC experience, double hit of Spam + Core Update.
Google Spam Policy 2026 — manipulations with AI Overview are now officially spam: what changed on May 15 and who is at risk.

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