Google asks users if AI has made search better or worse

Google is asking users directly whether AI Overviews have improved or degraded search, as publishers and media companies sue over lost traffic.

Last Updated: September 12, 2026 Editorial Process
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Published on: August 25, 2026

August 25, 2026, (Inside AI) — Google has placed AI Overviews at the top of its search results, forcing users to scroll past a chatbot-generated summary before reaching the traditional list of blue links. The change has reshaped how billions of people navigate the web, and now the company is asking a simple question: has AI made Google search better or worse?

The query comes from Google itself, which is soliciting user feedback through a public call. The company wants to know whether its infusion of AI has improved or degraded the search experience. The move signals that Google is aware of the mounting criticism and legal pressure surrounding its most visible AI feature.

Liz Reid, Google’s vice-president of search, wrote last August that “AI is driving the most significant upgrade of the Google Search experience ever.” In May, the company said more AI is coming. But the reality on the ground is more complicated. Website owners, media outlets, and independent studies report that users are clicking through to external sites less often when an AI Overview provides a sufficient answer on the search page itself.

That shift has real economic consequences. Clicks, or traffic, are often the primary way websites earn advertising revenue. Large US media companies are suing Google, alleging that AI summaries have redirected and reduced traffic to their sites, cutting into their revenue. Google has pushed back, saying it has not seen a decline in aggregate traffic and that such accusations are based on “flawed methodologies.”

Reid wrote last year: “Total organic click volume from Google Search to websites has been relatively stable year-over-year.” But that claim is disputed by publishers who say their own analytics tell a different story. The tension between Google’s internal data and the lived experience of content creators has become a central flashpoint in the debate over AI search.

Publishers push back as AI Overviews reshape the web

The lawsuits against Google are not the only sign of friction. Many independent website owners have reported sharp declines in organic traffic since AI Overviews rolled out broadly. Some have seen drops of 30% to 50% or more, particularly on informational queries where a short AI summary can satisfy user intent without a click.

Google’s position is that AI Overviews actually increase engagement by keeping users on Google properties longer. The company has said that users who click links from AI Overviews are more likely to stay on the destination site, arguing that the quality of clicks has improved even if the quantity has shifted. But publishers counter that a smaller number of high-quality clicks does not compensate for the loss of volume.

The debate is not merely academic. Search is the primary discovery mechanism for most of the web. If AI summaries become the default answer layer, the economic model that supports independent publishing, journalism, and niche content could be fundamentally altered. Google’s call for user feedback may be an attempt to gauge public sentiment before regulators or courts force changes.

Industry observers note that Google has a history of testing user reactions before major product shifts. The company’s decision to ask users directly about AI search quality suggests it is preparing for a more contentious phase of the rollout. User responses could shape how aggressively Google expands AI Overviews in the coming months.

What users actually think remains an open question

Google has not yet released aggregate data from its user feedback request. But early signals from social media and publisher comment sections suggest a split. Some users appreciate the convenience of instant answers, especially on mobile devices where typing and scrolling are cumbersome. Others complain that AI Overviews are sometimes wrong, lack nuance, or bury the sources they cite.

The company has acknowledged that AI Overviews can produce errors, a known limitation of large language models. Google has implemented guardrails to reduce hallucinations, but no system is perfect. For users who rely on search for critical information, a confident but incorrect AI summary is worse than a list of links that allows them to judge sources for themselves.

Google’s request for feedback comes at a pivotal moment. The company faces antitrust scrutiny, publisher lawsuits, and growing competition from AI-native search engines. How users answer the question may determine whether AI Overviews become a permanent fixture or a cautionary tale. For now, the search giant is listening, and the web is watching.

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