AI search statistics and trends every marketer should know in 2026

Search has changed more in the last two years than it did in the previous decade. Not long ago, marketers were focused on rankings, blue links and keyword positioning. Now, audiences are asking ChatGPT for recommendations, getting instant summaries from Google AI Overviews and making decisions before they ever visit a website.

AI search isn’t just changing SEO. It’s changing how people discover brands altogether.

Click-through rates are falling, AI-generated answers are replacing website visits and traditional search behaviour is becoming increasingly fragmented. At the same time, brands that build authority in the right places have entirely new opportunities to influence buyers earlier in the journey.

The challenge for marketers is no longer just ranking, but becoming part of the answer. 

Here are the AI search statistics and trends every marketer should know in 2026 and what they mean for your strategy moving forward.

AI search has moved into the mainstream

AI-powered search is reshaping how people research, compare and discover information online.

Google, OpenAI, Microsoft and Perplexity are all racing to become the default interface for discovery. Instead of browsing pages of results, users increasingly expect direct answers, recommendations and summaries generated instantly by AI.

According to Business Insider, Google’s AI Overviews now reach more than 2.5 billion monthly users, while Google’s AI Mode has already surpassed one billion users.

Meanwhile, ALM Corp reported that AI-powered search tools were estimated to account for 12 to 15 per cent of global search activity by the end of 2025. This proves a fundamental shift in how users interact with the web.

Traditional search is starting to feel slower and more fragmented than conversational AI experiences that can summarise information instantly.

For marketers, the implication is clear: visibility is no longer just about ranking first on Google. It’s about creating content that AI systems trust enough to surface, reference and recommend.

Zero-click search is becoming the default

One of the biggest consequences of AI search is the rise of zero-click behaviour. Users are getting what they need directly within AI-generated answers, meaning they no longer have to click through multiple websites to find information.

Google started moving in this direction years ago with featured snippets and knowledge panels. AI search has accelerated the shift dramatically.

According to Semrush, Google AI Mode now has a reported zero-click rate of 93 per cent. That figure completely changes how marketers need to think about organic visibility, because fewer clicks don’t necessarily mean less influence.

A brand can now shape buying decisions, appear in AI-generated recommendations or influence product comparisons without ever receiving a website visit.

That’s a major mindset shift for SEO and content teams that have traditionally measured success through sessions and click-through rates alone.

In 2026, visibility increasingly happens before the click. And the brands appearing most often in AI-generated responses tend to have a few things in common:

• Strong topical authority
• Original research and insights
• Clear, well-structured content
• Credible expert commentary
• Consistent publishing quality

AI systems are designed to prioritise information they view as trustworthy and useful and to ignore generic, recycled content.

AI search traffic is smaller, but intent is higher

While AI-generated search traffic is still smaller than traditional organic traffic, traffic quality is often much stronger.

AI systems are helping users narrow down their options before they even land on a website. By the time someone clicks through from ChatGPT, Gemini or Perplexity, they’re usually looking for deeper validation rather than basic information.

That changes user behaviour significantly.

According to Similarweb, ChatGPT-referred users spend around 15 minutes on-site compared to the eight minutes traditional Google users spend. Adobe for Business further supports the change in user behaviour, stating that AI referral traffic outperforms other traffic sources by 31 per cent in conversion rates.

AI search is helping users compare vendors, understand solutions and shortlist providers much earlier in the process. That means content strategies built purely around high-volume traffic are becoming less effective.

Instead, marketers need to focus on creating genuinely useful content that supports evaluation, builds trust and answers more nuanced questions. Because in AI search, the quality of attention matters more than raw traffic numbers.

Rankings still matter, but authority matters more

AI-generated answers don’t simply mirror Google rankings. Instead, they pull information from multiple sources, evaluate authority differently and synthesise content into entirely new responses.

That means brands can gain visibility in AI search even without holding the number one organic position. Recent research published on arXiv found that AI systems frequently prioritise authoritative and trusted sources when generating responses.

This is why marketers are increasingly talking about generative engine optimisation (GEO) and AI visibility. 

Luckily, the principle is very simple. Brands that consistently publish trustworthy, well-structured and genuinely valuable content are more likely to appear in AI-generated recommendations.

That means marketers should prioritise:

• Original data and research
• Expert-led insights
• Clear content structure
• Strong topical depth
• Evidence-backed claims
• Consistent thought leadership

And importantly, authority now extends well beyond your own website. AI systems also evaluate signals from:

• Media coverage
• Reviews
• Social conversations
• Community discussions
• Third-party mentions
• Industry commentary

In other words, discoverability in AI search is increasingly tied to overall brand reputation.

AI search is reshaping the buyer journey

Users aren’t simply researching topics anymore. They’re actively asking AI systems to recommend products, compare solutions and explain which brands are best suited to their needs.

And consumers are becoming increasingly comfortable with that behaviour. According to Similarweb, 35 per cent of US consumers use AI tools during product discovery, compared with 13.6 per cent who use traditional search methods.

In B2B, the shift is even more dramatic. Research from Omnibound found that 94 per cent of B2B buyers used generative AI during their most recent purchasing process. That changes the buyer’s journey significantly.

By the time a prospect searches for your brand directly, AI systems may have already introduced them to your competitors or recommended alternative providers.

This is why thought leadership, authority and brand positioning matter more than ever. The brands succeeding in AI search are the ones consistently creating the clearest, most useful and most credible content within their category.

What marketers should prioritise in 2026

The good news is that many traditional SEO fundamentals still matter. But the priorities are changing.

Create content worth referencing

AI systems are designed to surface useful information, not content written purely to manipulate rankings. That means marketers should focus on creating:

• Original research
• Proprietary insights
• Expert commentary
• Detailed educational content
• Clear answers to complex questions

The more unique and valuable your content is, the more likely it is to be surfaced by AI systems.

Build topical authority

AI search rewards brands that demonstrate consistent expertise within specific subject areas. Depth matters more than volume.

Structure content clearly

Well-structured content is easier for both users and AI systems to interpret. Clear headings, concise explanations and logical formatting all improve readability and discoverability.

Measure more than traffic

Traditional SEO reporting needs to evolve alongside AI search. Traffic still matters, but marketers should also pay attention to:

• Brand mentions
• Citation visibility
• Share of voice
• Engagement quality
• AI referral traffic
• Assisted conversions

Influence often happens before users even click through to your site.

Invest in brand reputation

AI systems evaluate signals from across the web, not just your own domain. That means PR, thought leadership, social content and third-party visibility all contribute to discoverability. The brands that become recognised authorities within their industry are far more likely to appear consistently in AI-generated responses.

AI search isn’t replacing SEO – it’s expanding it

SEO isn’t disappearing in 2026, but it is evolving into something much broader than rankings and keywords alone.

Search is becoming more conversational, more recommendation-driven and far less dependent on traditional click behaviour. As a result, marketers need to think beyond traffic and focus more heavily on trust, authority and visibility across the wider digital ecosystem.

The brands winning in AI search today are the clearest, most credible and the easiest for AI systems to understand and reference. That requires stronger positioning, better content and a smarter approach to digital visibility overall.

At Axonn, we help brands create content strategies designed for how discovery works now, not how it worked five years ago.

If you want to improve your visibility in AI search, strengthen your authority and create content that both users and AI systems genuinely trust, contact our team today.