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Google will put more links to websites in AI Overviews

Illustration accompanying: Google will put more links to websites in AI Overviews

Google is expanding source attribution in its AI Overviews search feature, signaling a strategic pivot toward transparency in LLM-powered search results. This move addresses a core tension in generative search: users want direct answers, but publishers and regulators demand visibility into training data provenance and citation. By surfacing more links within AI-generated summaries, Google attempts to balance user experience with publisher concerns and potential regulatory pressure around content attribution. The shift reflects broader industry recognition that black-box AI outputs face mounting friction in information-critical domains.

Modelwire context

Analyst take

The real question isn't whether Google is adding links, it's whether more links actually restore meaningful referral traffic to publishers or simply create the appearance of attribution while keeping users inside the AI Overview. Those are very different outcomes, and Google has not committed to measurable traffic restoration targets.

This move sits inside a broader pattern of AI incumbents managing transparency as a pressure valve rather than a principle. The story connects directly to the 'ChatGPT now tracks users for ads by default' piece from early May, where OpenAI made a structural change that served its own economics while offering users a surface-level choice. Google is doing something similar here: adding visible attribution signals that satisfy a regulatory and publisher optics problem without necessarily changing the underlying value extraction. The Microsoft Copilot attribution story from May 3rd is also relevant, showing that AI attribution metadata can be present in form while absent in meaningful consent or control.

Watch whether major news publishers report measurable referral traffic increases from AI Overviews within the next two quarters. If click-through rates remain flat despite more visible links, that confirms the attribution change is cosmetic rather than structural.

This analysis is generated by Modelwire’s editorial layer from our archive and the summary above. It is not a substitute for the original reporting. How we write it.

MentionsGoogle · AI Overviews

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This synthesis and analysis was prepared by the Modelwire editorial team. We use advanced language models to read, ground, and connect the day’s most significant AI developments, providing original strategic context that helps practitioners and leaders stay ahead of the frontier.

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Google will put more links to websites in AI Overviews · Modelwire