Search Referrals Fall 60% for Small Publishers

New data from Chartbeat, reported exclusively by Axios, highlights a worrying trend for small publishers: search referral traffic has fallen dramatically over the past two years, leaving smaller sites struggling to maintain visibility. According to the analytics firm, small publishers—those averaging between 1,000 and 10,000 daily page views—have seen a 60% drop in search-driven traffic. By contrast, mid-sized publishers, with daily traffic ranging from 10,000 to 100,000 page views, lost 47%, while large publishers with over 100,000 daily views only saw a 22% decline.

Search Traffic Decline Concentrated Among Smaller Sites

While aggregate data on search traffic drops has been available for some time, this latest Chartbeat report is notable for breaking down the decline by publisher size. Previous coverage focused on overall losses, but the size-specific data reveals that smaller publishers bear the brunt of the decrease. Between December 2024 and December 2025, page views from Google Search alone fell by 34%, while Google Discover, another significant referral source, saw a 15% decline.

This concentration of losses at the lower end of the spectrum is particularly concerning for publishers with limited resources, as they are less equipped to diversify traffic streams or offset the decline.

AI Referrals Still Minimal

Despite the rise of AI chatbots, such as ChatGPT, referrals from these platforms still account for less than 1% of total publisher page views, even after a growth spurt of over 200% in the past two years. While AI-driven referrals are increasing, they have yet to meaningfully replace the search traffic that smaller publishers are losing. This demonstrates that, for now, the decline in Google search visibility remains the primary challenge for sites with limited reach.

How Larger Publishers Are Coping

Larger publishers appear more resilient in the face of declining search traffic. Many news and media organisations are seeing increases in direct and internal traffic, while email campaigns and app notifications are becoming increasingly significant as referral sources. This aligns with research from the Reuters Institute, which showed that publishers are investing more in owned channels to maintain readership and engagement.

Overall, Chartbeat data indicates that weekly page views across its network dropped by 6% between 2024 and 2025. The firm attributes part of this decline to broader factors outside search, such as a quieter election cycle and reduced news consumption, although these are interpretive rather than measured causes.

AI Referral Engagement Varies by Publisher Type

The report also highlights how AI referrals behave differently depending on the type of content. News and media sites attract the most traffic from AI chatbots, yet engagement per article tends to be low. Readers appear to use these sources for quick fact-checks or to gain context rather than to read full articles.

In contrast, “utilitarian” publishers—those providing practical information like health advice, gardening tips, or how-to guides—see fewer total AI referrals but higher engagement per page. Users seeking actionable information spend more time on these articles, suggesting that AI-driven traffic is more valuable for publishers offering detailed, practical content.

The Challenge for Small Publishers

For smaller sites, the decline in search referral traffic is particularly problematic. Many of these publishers lack the resources to build robust alternative traffic channels, leaving them vulnerable to visibility losses. Unlike larger publishers that can lean on email, apps, and direct engagement, smaller sites often rely heavily on organic search to reach readers.

The data underlines the need for small publishers to diversify their content distribution strategies. Relying solely on search traffic is no longer sufficient, particularly in a landscape where Google’s algorithm changes and AI-driven discovery play an increasing role.

What This Means for Content Strategy

For publishers and content creators, the Chartbeat data offers important takeaways. Firstly, understanding audience behaviour and traffic sources is critical. Secondly, leveraging owned channels such as newsletters, apps, and social media can help offset search losses. Finally, the type of content matters: practical, actionable content tends to perform better when shared through AI referrals, while news content attracts more fleeting attention.

Looking Ahead

The recent trends suggest that small publishers need to adapt quickly to survive in a changing digital landscape. Monitoring referral sources, experimenting with AI content distribution, and investing in owned traffic channels will be increasingly important. Chartbeat’s full dataset, when released, will likely offer even more insights into how publishers can optimise their content strategy across search and AI platforms.

For anyone managing smaller publishing operations, these findings are a wake-up call: relying on search traffic alone is risky, and proactive steps are essential to maintain visibility and engagement in an evolving ecosystem.