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Home»Technology»Google adds ‘Preferred Sources’ feature to AI Search for personalised content discovery | Technology News
Technology

Google adds ‘Preferred Sources’ feature to AI Search for personalised content discovery | Technology News

May 28, 2026No Comments3 Mins Read
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The new Google AI Search update adds personalised source preferences, article carousels, and expanded citation labels. (Image: Google Blog)
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4 min learnNew DelhiUp to date: Might 28, 2026 01:10 PM IST

Google has launched a brand new function referred to as ‘Most popular Sources’ for Search, permitting customers to prioritise web sites they need to see extra ceaselessly in AI-powered search outcomes. Introduced in a weblog publish, the replace is aimed toward giving customers better management over the content material showcased in AI Overviews and AI Mode, whereas additionally serving to them determine data from publishers they belief.

Underneath the brand new function, customers can choose particular publications or web sites by means of search personalisation settings, and Google could show content material from these sources extra prominently when related to a search question. Most popular web sites can even be clearly labelled, just like the High Tales part, making them simpler to determine inside search outcomes.

The replace comes as Google continues to refine how AI-generated search experiences present data, amid rising scrutiny over attribution, visibility for publishers, and belief in AI-generated solutions. By permitting customers to prioritise trusted sources, the corporate seems to be positioning the adjustments as a method to enhance transparency and content material discovery in AI Search.

Google stated any web site publishing contemporary content material will be chosen as a most well-liked supply. In keeping with the corporate, inside information present customers are twice as prone to click on by means of to content material from a most well-liked supply, whereas greater than 345,000 distinctive web sites have already been chosen by customers globally. The corporate additionally famous that publishers and web site homeowners have been encouraging audiences to mark them as most well-liked sources, with steerage obtainable by means of its documentation sources.

How ‘Most popular Sources’ works

The function will be enabled by means of search personalisation settings, the place customers can add web sites of their option to affect the sources that seem in AI Overviews and AI Mode. Google stated its current rating techniques will proceed to judge elements comparable to relevance and high quality, whereas Most popular Sources provides a further layer formed by consumer preferences.

In keeping with Google, the function is a part of a broader effort to floor authentic and high-quality content material extra successfully throughout Search. The corporate stated customers preferring reporting from particular publications might even see these sources featured extra prominently when they’re related to a question.

New article carousels and ‘Extremely Cited’ labels

Alongside Most popular Sources, Google is introducing article carousels for creating matters that present contextual data alongside hyperlinks to well timed tales and most well-liked publishers. For searches looking for opinions or group discussions, Search can even floor views from boards and social media in a devoted carousel.

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Google has additionally expanded its “Extremely Cited” labels on search outcomes pages. The badge will seem on net articles which have been broadly referenced by different publications, serving to customers determine authentic or influential reporting extra simply. Search outcomes will moreover point out when an article explicitly cites a extremely referenced supply, providing better context round how data is being sourced and circulated on-line.

The most recent updates are a part of Google’s broader push to enhance belief and content material discovery in AI Search, with the corporate indicating that extra adjustments are anticipated within the coming months.

(This text has been curated by Shivani P Menon, who’s an intern with The Indian Categorical)



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