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New AI-Powered Search Model and How It Is Changing the Way People Search for Information

by Kartik Sharma
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One of the most consequential changes in the digital world is unfolding not on social media platforms or in marketplaces, but inside a far humbler space: the search box. For a generation, that small rectangle invited a handful of keywords and returned a ranked list of links, leaving the reader to compare, evaluate, and conclude. 

The new AI-powered search model has assumed much of that responsibility. It accepts detailed, conversational questions, draws on multiple sources and delivers a single, complete answer, often removing the need to look further. What once demanded patience and several open tabs is resolved in a matter of seconds. This behavior is no longer confined to early adopters. In urban India, 3 in 5 online searchers now begin at least one search each day with an AI assistant. Yet, the significance of this transition lies less in the technology than in the habits it is steadily shaping. When answers arrive fully composed, the manner in which people question, verify and decide begins to change.

From Keywords to Conversations

The first change is visible in the questions themselves. Queries have grown longer, more descriptive and more conversational. Instead of fragments, users now describe circumstances, constraints and preferences in full sentences using prompts and expect the system to reason on their behalf. A student preparing for an examination, a parent comparing schools or a traveler planning a complex itinerary no longer needs to reduce a layered need to two or three keywords. The emphasis has moved from locating URLs and documents to resolving intent.

The newest AI-powered search models have been built around this change. Query boxes now expand to accommodate detailed descriptions, suggest better ways of framing a question and accept images, files and video alongside text. Follow-up questions carry context forward, so a search that once ended on a single results page now unfolds as an ongoing dialogue.

The appetite for this experience extends well beyond India. A consumer study conducted in August 2025 found that half of all consumers are already using AI-powered search, and 44 per cent of those users described it as their primary and preferred source of insight, ahead of traditional search engines at 31 per cent. In addition, more than 70 per cent of such users turn to it at the very start of an enquiry, to understand a category, product or service before narrowing their choices.

When Search Begins to Act

Search is also becoming something people hand over rather than perform. The latest search systems are beginning to deploy agents that monitor the web continuously, reason across news, blogs and real-time data, and alert users when relevant developments occur. An individual hunting for a rental home can describe every requirement once and be notified when a suitable listing appears. In some markets, these agents can also complete bookings on a user’s behalf. Search, in effect, is evolving from a library catalogue into a research assistant.

Moreover, search is also evolving to be more personal. Newer models allow users to connect their emails and photographs so that answers reflect individual context rather than generic information. This development brings genuine convenience, alongside legitimate questions of privacy and consent.

This delegation is further reshaping the concept of a simple click. When a complete answer appears at the top of the page, far fewer people feel the need to open the sources behind it. Independent tracking cited in recent reporting suggests that AI-generated summaries now appear on roughly 40 per cent of searches, up from around 15 per cent a year earlier. The journey that once moved from query to link to reading now frequently begins and ends on a single screen. Several major news publishers have reported steep year-on-year declines in referral traffic. Industry analysis projects that organizations unprepared for this transition could lose between 20 to 50 per cent of the traffic they currently receive from traditional search.

Trust, Verification and India’s New Search Habit

India offers a vivid picture of this transition. Among the country’s Gen Z and millennial searchers, roughly two in three already begin at least one search each day with an AI assistant, compared with fewer than one in three among the oldest cohort of internet users. The habit is being formed early, and it is likely to define how an entire generation encounters information.

Nevertheless, the embrace is not unconditional. The same research indicates that confidence in AI-generated responses has not yet caught up with confidence in established search channels and that people continue to combine multiple sources before reaching a conclusion. AI search, for now, is supplementing traditional search rather than replacing it outright.

This matters because of where these answers come from. Research indicates that a company’s own website typically accounts for only 5 to 10 per cent of the sources referenced by AI search, with the remainder drawn from publishers, review platforms, affiliate sites and user-generated discussion. What a searcher reads is thus increasingly a synthesis of what many others have said, filtered through a model’s judgement of relevance and credibility. A market leader offline may not appear in an AI-generated answer at all, and because each model cites sources differently, its reputation can vary from one platform to the next.

What the Shift Means for Those Who Want to Be Found

As search behavior changes, so must the way information is published and measured. Organizations have built sophisticated systems to track search rankings, website traffic, social sentiment and media mentions. But many still have no structured view of what an AI assistant tells a prospective customer about them. Ranking on a results page is no longer enough; the more consequential contest is to rank inside the answer itself. The discipline long known as search engine optimization (SEO) is giving way to a broader practice, often described as generative engine optimization (GEO). Still, preparedness remains thin. A 2025 survey of chief marketing officers at large consumer brands found that only 16 per cent systematically track their performance in AI search.

Closing that gap requires more than a single visibility score. A new category of GEO and AI search visibility platforms has emerged to address this need precisely, helping organizations measure, improve and track how they are cited, recommended and represented inside AI engines. Such platforms track the questions that carry commercial intent, the mentions, citations and sentiment attached to a name, the competitors recommended instead, and the sources shaping each response, model by model. This is because generative answers vary from one query to the next; the real signal lies in repeated patterns over time rather than in any single response. Technical hygiene, from structured data to clean site architecture, may place an organization in consideration, but authority and genuine usefulness ultimately decide whether it is selected.

Every major shift in how information travels has redistributed influence. The printing press elevated those who could publish; the search engine rewarded those who could rank. AI-powered search will reward those who can be accurately understood by machines and credibly vouched for by others. For searchers, it offers remarkable speed, but it also calls for the discipline to question even the most fluent answer. For organizations, the horizon is shifting rapidly. As assistants evolve into agents that compare, recommend and transact, being searchable will no longer suffice; being machine-understandable and machine-verifiable will be essential, and AI visibility will sit firmly alongside analytics and media intelligence. In the years ahead, the answer on the screen will increasingly be the only account people read. The institutions that earn their place within it will not merely be found; they will be believed.

Disclaimer: The opinions and views expressed in this article/column are those of the author(s) and do not necessarily reflect the views or positions of South Asian Herald.

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