For more than two decades, Google Search has served as one of the most important gateways through which audiences discover news online. News organisations have invested heavily in search engine optimisation (SEO), adapting headlines, story structures, keywords and publishing strategies to improve their visibility on the platform and attract readers to their websites.
However, the emergence of artificial intelligence-powered search is changing this relationship. Rather than simply directing users to a list of websites, search platforms are increasingly providing direct answers, summaries and explanations generated from information gathered across the internet.
This shift raises a fundamental question for the media industry: what happens to newsrooms when audiences can obtain information without visiting the websites that produced it?
A report published by the Reuters Institute for the Study of Journalism on October 13, 2026, titled Life after SEO: How newsrooms are adapting to the AI search shift, examines how media organisations are responding to this changing digital environment. The report, by Gretel Kahn, draws on the experiences of newsroom experts from organisations including Axios, The Guardian and The Athletic.
The development also echoes concerns raised in a July 20, 2026, report by *The New York Times* on Google’s artificial intelligence strategy and the future of the open web.
Together, the reports highlight a major transition in digital publishing: the movement from an internet where search engines send readers to content creators towards one where AI systems increasingly deliver the content’s essential information directly to users.
Digital news disrupted the business model of selling physical newspapers. Now, AI could seriously undermine digital revenue for online newspapers.
The parallel is striking. When readers moved from buying physical newspapers to consuming news online, publishers gained access to larger audiences but lost much of the revenue associated with selling printed copies.
Advertising migrated to digital platforms, and publishers became increasingly dependent on search engines and social media to attract website visitors.
Now, AI is threatening that second model.
From search results to direct answers
The traditional Google Search model is relatively straightforward. A user enters a query, and the search engine displays links to relevant websites. The user then chooses which links to open, allowing publishers to attract traffic, expose readers to advertisements, build brand recognition and encourage subscriptions or repeat visits.
AI-powered search changes this process by synthesising information from multiple sources into a single response. Instead of navigating several websites, users may find what they need in an AI-generated summary or through a conversational assistant.
Google’s AI-powered search features, alongside tools such as Gemini and other AI chatbots, illustrate the direction in which online information discovery is moving.
For news organisations, the distinction is significant. A publisher may produce the original report, conduct the investigation or supply the expert analysis that informs an AI-generated answer, yet receive neither a website visit nor the corresponding advertising revenue.
The concern is not simply that search traffic may decline. It is that the economic relationship between the production of journalism and the consumption of information could be fundamentally altered.
The Reuters Institute report notes that Google referrals to hundreds of publishers fell by 40 per cent between July 2025 and July 2026, citing Chartbeat’s annual publisher playbook. This decline was twice as steep as the reduction recorded over the preceding 12 months.
Although the decline cannot automatically be attributed entirely to AI, it illustrates the growing pressure on publishers that have traditionally depended on search engines to reach audiences.
The report also cites a Pew Research Center study examining more than 68,000 Google searches by 900 users in the United States in March 2025. Only one per cent of those searches resulted in a click on a source cited in a Google AI Overview.
The implication is clear: appearing in a search result or an AI-generated answer does not necessarily translate into a visit to the publisher’s website.
The emerging threat of ‘Google Zero’
The growing concern among publishers is sometimes described as “Google Zero” — the possibility that Google will cease to function primarily as a gateway to the wider internet and become an answer engine that satisfies users’ information needs without sending them elsewhere.
For newsrooms, this would represent a major disruption to a business model built around attracting audiences to their own digital properties.
Historically, publishers have competed for prominent positions on Google’s search results pages. Editors and audience development teams have studied keywords, search trends, headline formats and other SEO techniques to make stories easier to discover.
AI search introduces a different challenge. A system can draw information from a news report, combine it with material from other sources and present a response without requiring users to read the original article.
In this environment, a publisher’s work may contribute to the answer while the publisher itself remains largely invisible to the audience.
The risk is particularly serious for organisations that rely on page views to generate advertising income. Fewer visits could mean fewer advertising impressions, weaker audience growth and reduced opportunities to convert casual readers into loyal users.
Smaller publishers may be especially vulnerable because they often have limited financial resources to diversify their revenue streams or invest in new audience acquisition strategies.
Yet the shift does not mean that every publisher will experience the same consequences. The extent of the impact will depend on the type of journalism produced, the audiences served, the publisher’s reputation and its ability to establish relationships that do not depend entirely on search traffic.
Why traditional SEO is no longer enough
Search engine optimisation remains important, but newsrooms are beginning to consider an additional discipline known as generative engine optimisation (GEO).
While traditional SEO focuses on improving a website’s visibility in search results, GEO seeks to increase the likelihood that a publisher’s content, expertise or reporting will be referenced in AI-generated answers.
The Reuters Institute report cautions, however, that there is no established formula for succeeding in this emerging environment.
Unlike conventional search, where publishers can examine rankings and use analytics to evaluate performance, AI-generated answers can vary across platforms and even between repeated responses to the same question.
Different systems also appear to favour different sources. This makes it difficult for newsrooms to identify a single strategy that guarantees visibility across Google, ChatGPT, Gemini and Perplexity.
Ezra Eeman, director of AI in Media at WAN-IFRA, told the Reuters Institute that citation patterns change considerably, with different platforms favouring different sources at different times.
Nevertheless, the report identifies several practices that may improve a publisher’s chances of being cited. These include producing relevant and up-to-date material, demonstrating expertise, presenting clear evidence, and making important information easy to identify and understand.
Newsrooms can also test common audience questions against different AI platforms and monitor whether their reporting or brand appears in the answers.
Axios, for example, is experimenting with monitoring AI citations and believes its concise *Smart Brevity* format can make information easier for AI systems to process.
However, the larger lesson is that publishers cannot simply abandon SEO and replace it with GEO. The Reuters Institute experts recommend treating AI visibility as an additional layer of audience strategy while maintaining strong technical and editorial fundamentals.
Brand authority becomes more important
If AI systems increasingly determine which sources are presented to users, a publisher’s reputation may become as important as its ability to attract clicks.
The Reuters Institute report highlights Axios’s emphasis on authority, subject expertise and clarity. The organisation argues that its value lies not merely in the format of its stories but in its established reputation and relationships with readers.
This presents a different way of thinking about digital visibility.
Under the traditional search model, the immediate objective is often to get users to click on a headline. Under the emerging AI model, publishers must also consider whether their work is being recognised, cited and associated with authoritative information.
Being cited by an AI system may strengthen brand awareness, even where it does not generate immediate traffic. A reader who repeatedly encounters a publisher’s name in AI answers may later visit its website directly, subscribe to its newsletter or seek out its reporting.
But this potential benefit should not be confused with a sustainable business model. Brand exposure alone cannot pay journalists’ salaries or finance investigations. Publishers must determine whether increased AI visibility leads to measurable audience loyalty, revenue or other strategic benefits.
For news organisations, the challenge is therefore twofold: remain discoverable in emerging information systems while giving audiences compelling reasons to engage directly with the original source.