From Clicks to Trust: When AI Becomes the Primary Reader

The future is no longer about AI in media — it is about media in AI. As users increasingly obtain information through ChatGPT, Perplexity, and AI Overviews, the media industry is entering an era in which clicks matter less than trust, and journalistic content is increasingly serving as a source for artificial intelligence rather than solely for human readers.

This shift was the focus of a presentation by Sebastian Krause of Kleine Zeitung at the In Medias Press conference. Below are the key takeaways from his talk.

The Decoupling of Google

Krause sees the beginning of this transformation in a process he calls the decoupling of Google — the gradual separation of the internet from the open web. This phenomenon describes a situation in which a website’s visibility in Google search results continues to grow, while the number of actual clicks to the site drops dramatically.

For years, search engines were the primary source of traffic for media organizations. Users searched for information and were directed to publishers’ websites. Today, however, that model is changing rapidly as Google increasingly provides answers within its own ecosystem, eliminating the need to visit the original source. At the same time, Google Discover has become one of the most important distribution channels, yet news content now competes not only with other publishers but also with videos, influencers, and AI-generated content.

This shift affects not only content distribution but also the very logic of online visibility. Producing high-quality content is no longer enough to ensure that audiences will discover it through search. Visibility is no longer guaranteed, and content distribution increasingly takes place without any direct interaction between readers and media organizations.

Google Zero

Platforms such as AI Overviews, ChatGPT, and Perplexity are increasingly providing users with ready-made answers instead of links to original sources. Users receive the information they need without ever visiting the website where that content was created. As a result, journalistic articles are no longer necessarily read in full; instead, they become components of broader AI-generated responses.

For media organizations, this represents a fundamental shift in content creation. Journalists are no longer writing solely for readers who visit their websites, but also for systems that interpret, summarize, and redistribute their work. In this environment, clearly structured information, verifiable facts, and transparent sourcing become essential to ensure content remains understandable and machine-readable.

According to Krause, AI Overviews are merely a transitional stage toward systems that will play an even stronger intermediary role between users and information. Content will continue to be produced, but it will increasingly be consumed outside its original platforms.

Becoming a Source AI Trusts

One of the key challenges for the future is media visibility in this new digital environment. Artificial intelligence systems do not require a large number of sources to develop a comprehensive understanding of a topic, placing regional, local, and specialized media outlets in a particularly difficult position.

If AI systems rely on a limited number of dominant sources, there is a risk that valuable and high-quality journalism will become less visible regardless of its actual merit. As a result, media organizations are no longer focused solely on capturing user attention but also on establishing themselves as credible sources that AI systems recognize and rely upon.

This is why Krause argues that media companies can no longer compete solely through content volume or traffic. Their greatest asset is becoming a trusted source that artificial intelligence consistently turns to when seeking information.

A Return to Original Journalism

One of the most compelling messages from Krause’s presentation concerned the changing role of journalists in the age of artificial intelligence. He emphasized that the value of journalism is increasingly returning to its foundations, one of which is the gathering of original information in the field.

In a world where AI can search, summarize, and repackage existing content, the most valuable information is that which does not yet exist online. For this reason, Krause believes journalists must once again “go out into the streets,” speak with people, attend events, and gather information firsthand.

While artificial intelligence can interpret existing data, it cannot independently create a credible source, conduct an interview, or witness an event. This is precisely why original reporting, local stories, and authentic content are gaining renewed importance.

Such an approach simultaneously strengthens media credibility and increases its value within the AI ecosystem, since artificial intelligence systems depend on reliable, high-quality sources of information.

Traffic Is No Longer the Primary Measure of Success

Users are increasingly turning directly to AI systems for information rather than relying on traditional search engines. According to data presented by Krause, tools such as ChatGPT, Perplexity, and Claude use media content far more frequently than they send users back to publishers’ websites.

In this environment, the definition of success in the media industry is also changing. If traffic is no longer the primary metric, the question becomes: what replaces it?

Krause argues that the focus is shifting toward trust, loyalty, and audiences’ willingness to pay for content. Rather than pursuing maximum reach, success is increasingly measured through subscriber numbers, engagement levels, and long-term relationships with users.

As a result, media organizations are gradually moving away from audience acquisition models dependent on Google and social media platforms and are instead focusing on direct relationships with readers through subscriptions, newsletters, and communities. The goal is no longer to generate the highest number of clicks, but to become an indispensable source of information for a dedicated audience.

What About Advertising?

One of the major open questions concerns the future of digital advertising. As users increasingly receive information directly through AI systems without visiting websites, it becomes unclear who advertisements are actually reaching.

The traditional advertising model is built on visibility and website traffic. However, when content is consumed outside its original environment, that logic begins to break down. If users no longer visit websites, traditional banner advertising loses much of its effectiveness.

Krause notes that there is still no clear answer regarding how advertising will evolve within the AI ecosystem. What is clear, however, is that value is gradually shifting away from traffic volume and toward the quality of audience relationships.

Media as Part of the AI Ecosystem

Another significant change involves the evolving role of media organizations within the digital landscape. Content is no longer created exclusively for people; it is also intended for artificial intelligence systems that analyze and incorporate it into their responses.

This means content must be structured, machine-readable, and optimized for new forms of information distribution. At the same time, important questions arise regarding the monetization of content used by AI systems, as well as potential licensing and subscription models that would provide access to high-quality journalism.

Krause summarized this new strategy with a simple message: the future is no longer “AI in media,” but “media in AI.” In other words, it is not enough for media companies to adopt artificial intelligence within their newsrooms. They must ensure that their content becomes part of the systems that deliver information to users.

The Return of Offline Engagement

Alongside digital transformation, the importance of offline presence is becoming increasingly evident. Events, conferences, and face-to-face interactions with audiences are emerging as powerful tools for building trust and strengthening brand recognition.

In an environment where digital attention is becoming harder to capture and retain, physical presence is regaining value. Media organizations are therefore developing a dual operating model: digital content designed for AI systems and platforms, combined with real-world experiences that deepen audience relationships.

The End an Era

The message Krause delivers is neither pessimistic nor sensationalist. Clicks are no longer the primary currency of the digital world, and websites are no longer the sole destination for information consumption. The media industry is entering a period in which trust, loyalty, and relevance matter more than reach alone. Those who succeed in building strong audience relationships, developing recognizable brands, and becoming trusted sources for both people and artificial intelligence will have the greatest chance of success in the next era of the internet.