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Search traffic to publishers is collapsing, and opting out of Google is now on the table

Google search referrals to news sites have fallen by a third globally in a year, and some publishers are now openly discussing cutting Google off altogether.

Media & internetAnalysisGrace OkonkwoPublished: 27 September 20268 min readSources 5
Search traffic to publishers is collapsing, and opting out of Google is now on the table

Search traffic to news publishers has fallen by a third globally in a single year, according to Chartbeat data covering more than 2,500 news sites cited by the Guardian. The number is worse in the United States. It is worst of all for the smallest publishers, who have the fewest resources to replace what they are losing.

The Reuters Institute for the Study of Journalism surveyed 280 media leaders across 51 countries. Executives expect search engine referrals to fall by 43% over three years, the Guardian reported in January. Nic Newman, a senior research associate at the institute, said the "traffic era" that sustained online publishers since the advent of the internet was coming to an end.

"It is not clear what comes next," Newman said.

The losses are concentrated at the bottom

Chartbeat segmented its network by size. Axios reported the breakdown exclusively and Search Engine Journal covered it in March. The damage is not evenly spread. Search referral traffic to small publishers fell 60% over two years. Mid-sized publishers, defined as sites with 10,000 to 100,000 daily page views, lost 47%. Large publishers above 100,000 daily page views lost 22%. Small publishers in the data average 1,000 to 10,000 daily page views.

That is nearly three times the decline at large publishers. Page views from Google Search fell 34% between December 2024 and December 2025, per the same Chartbeat data, while Google Discover fell 15% over the same period. ChatGPT referrals grew more than 200% during that window, but chatbots still account for less than 1% of all publisher page view referrals. The growth in chatbot traffic has not come close to replacing what search lost.

Overall weekly page views across all publishers in Chartbeat's network dropped 6% between 2024 and 2025. The firm attributed that to factors outside search, including a quieter election cycle. Search Engine Journal noted that was Chartbeat's interpretation rather than a measured cause.

One finding stands out for content strategy. News and media sites get the highest total page views from AI chatbot referrals but the lowest engagement per article. Axios reported that this suggests readers use news citations in chatbots for quick fact-checks or context rather than deeper reading. "Utilitarian sites," publishers offering health advice or gardening tips, see fewer total referrals from AI platforms but more page views per article. The value of an AI referral depends on what you publish.

From Nato for news to switching Google off

The declines have been visible at the top of the market for over a year. Jon Slade, chief executive of the Financial Times, told a media conference in summer 2025 that his site had seen a "pretty sudden and sustained" decline of 25% to 30% in traffic arriving via internet search engines, the Guardian reported. DMG Media, the owner of the Daily Mail, told the Competition and Markets Authority that AI Overviews had fuelled a drop in click-through traffic to its sites of as much as 89%. Google's AI Overviews already appear at the top of about 10% of search results in the US, according to the Reuters Institute report.

Google has disputed the framing. In a blogpost cited by the Guardian, Liz Reid, Google's head of search, said AI in search was "driving more queries and quality clicks." Third-party reports suggesting dramatic aggregate declines were "often based on flawed methodologies, isolated examples, or traffic changes that occurred prior to the rollout of AI features in search." She also said the "vast" web means user trends are shifting traffic between sites, "resulting in decreased traffic to some sites and increased traffic to others."

The Guardian and the BBC saw gains between June 2025 and June 2026, according to Semrush data cited by the Wall Street Journal, even as traffic fell by more than 40% for some other publications over the same period. The Nieman Journalism Lab, summarising the Journal's reporting in July, tied the moment to a term coined in 2024 by The Verge editor-in-chief Nilay Patel: "Google Zero," the point when Google Search simply stops sending traffic outside its own engine to third-party websites.

The mechanics matter here. Google's web crawlers both index sites for search and train its AI models. Publishers who switch off the bots also remove themselves from traditional search. A few years ago, killing search discoverability to save your traffic would have been unthinkable, Nieman Lab noted. According to Cloudflare, bots now make up more than half of all web traffic. From 15 September the company will block multi-purpose crawlers, those that scrape for both search indexing and AI training, unless site owners opt out.

USA Today Co. is currently suing Google over an alleged ad-tech monopoly. Its chief executive Mike Reed told the Journal it may turn off Google's access completely if search traffic continues to decline. "It's time to take a stand and say enough is enough," Reed said. He added to Adweek: "I wouldn't call it a big decision because we're blocking other crawlers. For those with licensing agreements, they get our content. For those without, we block them."

Others are weighing similar moves. Reddit is reevaluating its $60 million per year deal with Google after seeing traffic declines. Politico and Reuters are both considering limiting Google bot access and putting up registration walls, according to the Journal. People Inc. chief executive Neil Vogel told the Journal that "turning [Google] off and blocking them entirely is 100% on the table." Cloudflare chief strategy officer Stephanie Cohen told Adweek earlier in July: "We want a technical solution that allows you to be discoverable without having to give your content away for free."

"No publisher wants to make do without Google, but many are increasingly prepared to do so. Google, on the other hand, has no such backup plan."

That line comes from Adweek's Mark Stenberg, quoted by Nieman Lab. Not everyone agrees. The UK-based Economist has been "actively discussing" opting out of AI search, the Journal reported. Its vice president of generative AI said opting out of Google entirely is not an option because "traffic can be choppy and declining, but traffic is still traffic." Time is trying a different tack, using what the Journal called a "sort of Trojan horse approach": creating text-based ads that regular readers never see but that AI crawlers might find, on the theory that chatbots could reference them without knowing they are ads.

Regulation, deals and the preferred source button

Regulators have started to move. A British regulatory court ruled that Google must allow publishers to opt out of participating in AI features without affecting traditional search results, Nieman Lab reported. Google is testing that ability in the UK, with nine months to make the change, but has not rolled it out globally.

Google has also offered publishers a softer tool. In August it began letting readers press a "Preferred Sources" button embedded on a publisher's own website to flag it as a favorite across Google Search, Discover and Google News, TechCrunch reported. The option had previously been available in Top Stories and was extended to AI Mode and AI Overviews in May. Google said that as of that launch, people had selected over 345,000 unique sources through the method. In earlier studies it found people are twice as likely to click through to a preferred source when available. Readers will also be able to customise their Discover feed using natural language commands, and Android users will be able to customise audio daily briefings in the Google News app.

Meanwhile publishers are pursuing licensing deals with AI companies. The FT, the German media group Axel Springer, the Guardian and the Nordic publisher Schibsted have all struck bilateral deals with OpenAI, the Guardian reported. The BBC has taken action against AI companies alleging copyright theft. Chris Duncan, a former News UK and Bauer Media executive who now runs the consultancy Seedelta, described it to the Guardian as "a two-pronged attack on publishers, a sort of pincer movement."

"Content is disappearing into AI products without serious remuneration, while AI summaries are being integrated into products so there is no need to click through, effectively taking money from both ends," Duncan said. "It is an existential crisis."

The Reuters Institute's Newman, for his part, argued the platforms do not hold all the cards. "Reliable news, expert analysis and points of view remain important both to individuals and to society, particularly in uncertain times," he said. "Great storytelling, and a human touch, is going to be hard for AI to replicate."

What is clear from the data is that the old bargain, in which publishers optimised headlines to win clicks and Google supplied the audience, is being renegotiated in public, by regulators, courts and chief executives. Small publishers, with the least leverage and the steepest losses, are the ones watching it happen.

Comments 0

Sources

5
  1. 01Publishers fear AI search summaries and chatbots mean 'end of traffic era'EN
  2. 02Search traffic has declined so much that some publishers are considering opting out of Google entirelyEN
  3. 03Search Referral Traffic Down 60% For Small Publishers, Data ShowsEN
  4. 04'Existential crisis': how Google's shift to AI has upended the online news modelEN
  5. 05Google gives publishers a new way to fight AI-driven traffic lossesEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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