Google AI Overview framing the future of search
Author ADM+S Centre
Date 22 May 2026
Google’s AI-generated search summaries are being framed in markedly different ways by Google, technology journalists and SEO professionals, according to new research examining how the technology is shaping information access online.
The study conducted by researchers at the ARC Centre of Excellence for Automated Decision-Making and Society at QUT analysed more than 600 English-language articles across a one-year period that covered Google AI Overviews (AIOs) to understand how key industry actors (Google, technology journalists and SEO marketers) are discussing and positioning this new development.
The study argues “AIOs represent more than a technical reconfiguration of search engine functionality; they signal a contested redefinition of what it means to find, evaluate, and trust information online.“
As the gatekeeping role of the search engine becomes increasingly generative, rather than indexical, platform actors are competing not only to shape technological futures but also to frame the public’s understanding of what those futures entail.
The study finds that while Google positions AIOs as seamless innovation, journalists raise concerns about misinformation and opacity, and SEO professionals warn of major disruptions to digital visibility.
Researchers identified four dominant themes shaping the discourse:
- Generative AI Technologies and AI-Platform Wars;
- Reconfiguring Search – Let Google Do the Searching for You;
- Commercial Implications of AIOs; and
- AI Overviews – Utopia versus Dystopia.
Shaping perceptions of AI search
Google’s own messaging frames AI Overviews as a major upgrade to search, describing them in promotional language that emphasises speed, convenience and improved user experience.
The company presents the tool as a way to reduce effort in information seeking by directly generating answers at the top of search results.
These framings encourage trust and engagement while downplaying concerns such as misinformation, bias, or the erosion of source diversity.
In contrast, journalists highlight risks such as misinformation, source invisibility, and flawed AI outputs – ranging from recommending glue as pizza topping to suggesting that cats live on the moon.
SEO marketers expressed both concern and adaptation, reporting declining site visibility and engagement, prompting shifts toward Generative Engine Optimisation (GEO).
Missing voices and broader implications
A key finding of the study is the absence of the user perspective in dominant industry narratives. While companies debate performance, visibility and risk, the experiences of everyday users are largely missing from the discussion.
Researchers also note the lack of attention to environmental costs of training large language models, raised only in passing in two texts, as well as deeper engagement with the ethical implications of AI deployment.
“Googlisation” of knowledge
Google’s AIOs signal more than a technical upgrade to search – they represent a transformation in how knowledge is curated, delivered, and legitimised in the digital era.
While Google positions AIOs as intuitive, seamless tools that meet user expectations, it masks deeper shifts in information control and editorial authority.
At the same time, AIOs fundamentally alter the relationships between users, content creators, and platforms. By synthesising information from multiple sources while heavily curating the output, AIOs reconfigure how information flows and how market relations are structured.
As Google increasingly acts as both infrastructure and editor, critical questions arise about transparency, accountability, and the politics of platform-driven knowledge infrastructures.
The authors note “AIOs are not simply technical enhancements to search but also represent a continuation of broader platformisation logics and discursive and infrastructural interventions that reshape what it means to search, to know, and to trust in the digital age.”
“Understanding these transformations requires not only examining the technologies we use but also interrogating the stories we are told about them, and who gets to tell them.”
This research is part of the ADM+S Australian Search Experience 2.0 project.
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