How AI Is Changing Google Search — And What Your Business Needs to Do

Your SEO strategy was built for a Google that no longer exists. The platform that sent billions of clicks to websites every day has spent the past two years systematically eliminating the need to click at all. If you haven’t adjusted your approach, you’re optimising for a 2022 search engine in 2026.

The numbers make the situation clear. Organic click-through rates have fallen 30-60% for queries where AI Overviews appear, depending on query type. Zero-click searches — where users get their answer directly on the results page without visiting any website — now account for approximately 60% of all Google searches, with projections suggesting the figure reaches 65-70% in the near term. For mobile users, that projection reaches 77%.

This is not a temporary fluctuation. It is the new baseline, and it is still moving.

What AI Overviews Actually Are (And How Prevalent They’ve Become)

AI Overviews are Google’s AI-generated summaries that appear above traditional organic results. They pull information from multiple sources, synthesise an answer, and display it inline — meaning a user can read a response to their query without ever leaving Google’s results page.

As of early 2026, AI Overviews appear in approximately 30% of all Google searches, according to research from Graphite (2025). That figure varies significantly by query type: informational queries on health, finance, and how-to topics can exceed 50% appearance rates, per Search Engine Land (July 2025). Transactional and navigational queries — where someone is clearly trying to buy something or reach a specific site — show lower rates.

The December 2025 core update accelerated this integration further, with AI Overviews becoming more prominent and appearing across a broader range of query types, according to Search Engine Journal (February 2026). Google’s AI Mode, introduced in the United States in March 2025 and expanded to India in June 2025, goes further still: it replaces the standard results page with a fully conversational interface for complex queries.

An important correction worth noting: earlier reports claimed AI Overviews appeared in 60% or more of searches. The more carefully sourced figure, after accounting for query type and geography, is closer to 30% overall — but that still means roughly one in three queries your customers type returns an AI-generated answer before any organic result.

The Click-Through Rate Reality

The volume of data on CTR decline is now substantial enough to be treated as settled fact rather than early-stage research.

Seer Interactive conducted the most comprehensive study available, analysing 3,119 informational queries across 42 organisations, spanning 25.1 million organic impressions and 1.1 million paid impressions from June 2024 to September 2025. Their finding: when an AI Overview appears, organic CTR drops by an average of 61%. Paid CTR drops by 68% (Seer Interactive, November 2025; Search Engine Land, November 2025).

Ahrefs updated their research in December 2025 and found that AI Overviews reduce organic CTR for position-one content by 58% (Ahrefs, December 2025). This is a notable finding: even the top-ranked result — the page that earned the number one organic position through years of SEO work — loses more than half its expected clicks when an AI Overview is present.

BrightEdge’s May 2025 research found average CTR down 30% across broader query sets (BMG360, 2025). The Daily Mail’s own data, as reported by Digiday (November 2025), showed clickthrough rates 80-90% lower when AI Overviews triggered — an extreme figure reflecting the outsized impact on news and informational publishing, rather than the cross-industry average.

The convergence across independent research with different methodologies makes this hard to dismiss. Decline ranges vary by query type — informational and editorial content is most exposed; transactional and navigational queries show lower impact.

The Zero-Click Search Problem

Zero-click searches predate AI Overviews — featured snippets, knowledge panels, and local packs have been reducing click-out rates for years. But AI Overviews have accelerated the trend substantially.

Tracking data from Myoho Marketing shows zero-click searches climbed from approximately 56% in May 2024 to 69% by May 2025 (Myoho Marketing, December 2025). According to Ekamoira’s analysis of Semrush click-stream data (January 2026), approximately 60% of Google searches now result in zero clicks. Projections for early 2026 put the range at 65-70%, with mobile users reaching 77% (Accord Tech Solutions, 2026).

The revenue impact is not theoretical. Trial Guides, a legal content publisher, documented traffic losses of 40-70% on their own properties as zero-click searches accelerated (Trial Guides, 2025). Amsive’s analysis confirmed lowered organic visibility and fewer clicks across multiple industries (Amsive, April 2025).

For businesses that built revenue models on organic search traffic, these numbers represent a structural shift in how their pipeline works.

The Citation Opportunity That Most Businesses Are Missing

Here is where the situation becomes more nuanced. Amid the broadly negative CTR data, Seer Interactive’s research surfaced one genuinely positive finding: when a website is cited within an AI Overview, it receives 35% more organic clicks and 91% more paid clicks compared to when it is not cited at all (Seer Interactive, November 2025).

Read that again. Being cited inside the AI Overview — not just ranking below it — delivers more traffic than ranking first organically without being cited.

This creates a clear strategic imperative. The question is no longer “how do I rank number one?” The question is “how do I become the source that Google’s AI cites?”

The answer requires a different kind of content: authoritative, structured, entity-clear, and built to be pulled into summaries rather than clicked through to. This is the core discipline of Answer Engine Optimisation (AEO), and it operates alongside traditional SEO rather than replacing it.

Four Algorithm Updates in 2025, and What Each One Targeted

Google confirmed four significant algorithm updates in 2025, per Search Engine Land (December 2025). That is fewer than the seven updates in 2024 and nine in 2023 — but ranking volatility has not decreased. If anything, the opposite is true.

March 2025 Core Update: Targeted content quality and genuine expertise. Sites with thin content or over-optimised pages without substantive value saw notable ranking declines.

June 2025 Core Update: One of the most significant of the year. This rollout brought major changes to how AI Overviews integrate into results, with industry reports indicating AI Overviews visibility increased substantially in some categories following the update. The update also emphasised experience-based content — rewarding pages that demonstrate real-world application and firsthand knowledge.

August 2025 Spam Update: Targeted AI-generated content used primarily for ranking manipulation rather than user value (Marc Laclear, 2025).

December 2025 Core Update: Rolled out December 11 to December 29. Continued the emphasis on content depth, demonstrated experience, and reduced reliance on keyword repetition (Found, February 2026; Medium, January 2026).

The pattern across all four updates is consistent: Google is systematically devaluing thin, formulaic, and keyword-optimised content while rewarding genuine expertise and original insight.

Why Fewer Updates Still Mean More Volatility

Multiple SEO researchers have noted a paradox in the 2025 data: fewer officially announced updates, but more dramatic ranking swings in practice.

According to Sympler’s 2025 year-in-review, 2025 felt “quiet” but chaotic in dashboards — the absence of major public announcements coexisted with significant ranking shifts driven by AI feature changes (Sympler, 2025).

The explanation is structural. Google has moved toward continuous, smaller-scale algorithm adjustments rather than large periodic updates. Additionally, the AI systems underpinning rankings engage in ongoing learning and adaptation that produces organic fluctuation. And the introduction and expansion of AI Overviews creates new competitive dynamics in the results page that affect visibility independently of traditional ranking signals.

The practical implication: if you’re monitoring rankings as a lagging indicator of performance, you’ll always be reacting to changes that already happened weeks ago.

The Multi-Platform Reality

Google remains the dominant search platform, but the competitive landscape has fractured in a way that will not reverse. ChatGPT Search, Perplexity, Claude Search, and Gemini are capturing meaningful share, particularly among younger demographics and technology-forward users (Search Engine Land, 2025).

Each platform selects and cites sources differently. ChatGPT Search tends to draw from a narrower set of authoritative sources. Perplexity emphasises academic and research-oriented content. Google AI Overviews weight their own quality signals around experience, expertise, authoritativeness, and trustworthiness.

Optimising solely for Google while these platforms grow is a compounding strategic risk. Early movers who establish authority across multiple AI search ecosystems are building competitive advantages that will become harder to replicate as these platforms mature.

What “Measuring Success” Needs to Mean Now

Traditional SEO metrics — ranking position, organic sessions, organic click volume — are increasingly poor proxies for visibility in an AI search environment.

The organisations that are adapting successfully are expanding their measurement frameworks to include:

• AI Overview citation rate: How often does your content appear as a cited source in AI Overviews for target queries?
• Share of voice in AI responses: Across your keyword set, what proportion of AI-generated answers reference your content or brand?
• Brand mention sentiment: When AI platforms surface your brand name, what context surrounds it?
• Conversion rate from remaining clicks: The Digital Bloom’s analysis of BrightEdge data suggests users who click through after seeing an AI Overview may be more informed and closer to purchase (October 2025). Volume is down, but quality may be up.
• SERP feature visibility: Tracking presence across featured snippets, knowledge panels, local packs, and AI Overviews — not just traditional ranking positions.

Measuring only what you’ve always measured while the search environment changes around you is how businesses lose ground without understanding why.

Technical Requirements in the AI Era

Two technical factors have moved from best practice to mandatory in the AI Overview environment.

Schema markup is now essential for AI consumption of content. Comprehensive structured data implementation helps AI systems understand entity relationships, content types, and factual context — all factors that determine whether your content gets pulled into an AI-generated response. Schema types relevant to your industry, FAQ schema for question-format content, and Article schema for editorial content are the minimum bar.

Mobile performance is non-negotiable given that mobile zero-click rates are projected to reach 77% (Accord Tech Solutions, 2026). Mobile-first indexing means mobile experience directly influences rankings. Page speed on mobile affects both ranking signals and the likelihood of being selected for AI-generated responses where users expect immediate answers.

The New Playbook

The search engine optimisation playbook from 2020 will not get you visible in 2026. The changes are structural, not cyclical.

The organisations building sustainable organic visibility right now are doing five things:

1. Producing content designed for AI citation — answering questions directly, in structured formats, with clear entity relationships and schema markup
2. Building genuine subject-matter authority — original research, expert perspectives, real-world experience — not content that summarises what already exists
3. Expanding beyond Google — developing presence and tracking performance in ChatGPT Search, Perplexity, and Gemini as primary channels rather than afterthoughts
4. Evolving their metrics — measuring AI Overview citation rates and brand visibility across AI platforms alongside traditional traffic metrics
5. Investing in brand building as an SEO function — in an AI-assisted discovery landscape, brand credibility directly influences whether AI platforms cite you and whether users click through when they see your name

The businesses that treated the 2022 shift to helpful content as the last big change are now facing a much larger one. The good news is that the underlying requirement is the same as it has always been: be genuinely authoritative on the topics your customers care about. The difference is how that authority gets expressed and where it needs to show up.

Ready to adapt your search strategy for the AI era? Let’s talk ->