Google is redesigning the search box that has anchored its flagship product for roughly 25 years, turning it from a compact keyword field into a multimodal entry point for AI-powered search. The new interface can accept longer natural-language questions, images, PDFs, videos, files, and content pulled from open Chrome tabs.

Announced at Google I/O, the change also brings AI Overviews and AI Mode into a more continuous search experience. Instead of choosing between a conventional results page and a separate conversational tool, users can begin with the familiar search interface, receive an AI-generated overview, and continue with follow-up questions. The shift matters because it changes not only how Google presents answers, but how it expects people to formulate problems in the first place.

From keywords to multimodal conversations

The redesigned field expands as users type, removing some of the visual pressure that traditionally encouraged short queries. Google says its new query suggestions will go beyond conventional autocomplete by helping users shape more detailed questions suited to AI Mode.

The interface is also designed to make multimodal search a primary behavior rather than a feature hidden behind additional controls. Users can submit an image, PDF, video, or other file directly from the search box. They can also use material from Chrome tabs as context for a query.

Google said the revised search box is beginning to roll out in countries and languages where AI Mode is available. The company is presenting the change as an upgrade to ordinary Search rather than as a separate destination for people who already understand Google's AI products.

That distinction is important for adoption. Google Search is a deeply established habit, while AI Mode requires users to recognize that a different interface exists and decide when to use it. By putting AI capabilities at the main entry point, Google can make conversational search the default behavior without asking billions of users to learn a new product name.

AI Overviews and AI Mode move into one flow

The more consequential change may be the integration of Google's two AI search formats. AI Overviews place generated summaries above conventional results, while AI Mode is designed for a more extensive back-and-forth exchange. Google is now connecting those experiences so that an initial answer can lead directly to additional questions.

Liz Reid, Google's vice president and head of Search, said the goal is to remove the need for users to decide whether they want a traditional or AI-focused search experience. In practical terms, the company is treating the search box as a routing layer: one query can produce links, an overview, a conversation, or a combination of all three.

The approach gives Google flexibility as query types become less predictable. A user might start with a factual question, add an image for identification, upload a document for analysis, and then ask for a comparison. That sequence does not fit neatly into the old distinction between web search and a chatbot.

Google is also adding capabilities that extend beyond generated text. The company says its generative UI system can create interactive visualizations and small custom applications in response to a question. Google gave the example of an interactive explanation of how black holes affect spacetime, with later questions producing new visuals. The feature is expected to roll out more broadly in the summer.

For longer-running tasks, Google says users will eventually be able to create stateful experiences for activities such as moving, wedding planning, or fitness tracking. Those tools are expected to arrive first for Google AI Pro and Ultra subscribers in the United States, using the company's Antigravity development platform.

Evidence is strong on product direction, thinner on performance

Google presented the redesign alongside usage figures intended to show that AI is expanding Search rather than replacing it. The company said AI Mode has surpassed one billion monthly users in its first year, that AI Mode query volume has doubled each quarter since launch, and that AI Overviews now reach more than 2.5 billion monthly users.

Those are vendor-reported adoption figures, not independently audited measurements in the evidence available for this story. Google also said overall Search query volume reached a record level in the previous quarter. Chief Executive Sundar Pichai used that trend to argue that AI features are additive to search activity.

The new experience is powered by Gemini 3.5 Flash, which Google describes as faster and more capable than its earlier models. Google claims the model outperforms Gemini 3.1 Pro on most benchmarks and delivers substantially higher output speed than comparable frontier systems. These performance comparisons are likewise company claims; the available material does not provide an independent evaluation or a detailed methodology.

The emphasis on speed is nevertheless commercially significant. Search users are accustomed to near-immediate responses. A system that produces richer answers but adds noticeable latency could undermine the habitual nature of the product. Google's model, infrastructure, and interface decisions are therefore linked: the company needs both broader reasoning and the response times expected from a mature search engine.

What the redesign means for publishers and builders

For AI builders and product teams, Google's move reinforces the value of multimodal context and persistent interaction. Applications that accept a screenshot, document, open webpage, or video can serve more realistic workflows than systems limited to typed prompts. The search redesign also suggests that users may increasingly expect an AI product to guide question formation rather than merely respond to a finished request.

For publishers and search marketers, the implications are less settled. Conversational queries may expose richer intent than short keyword strings, but AI-generated answers can also reduce the number of visits to source pages. Google has said its AI features send traffic to publishers, yet the available evidence does not establish how that traffic changes as users ask several follow-up questions without leaving Search.

The shift could reward sites that provide authoritative, well-structured answers to complex questions. It may weaken tactics built primarily around matching narrow keyword phrases. That does not make traditional search optimization irrelevant, but it raises the importance of factual depth, clear sourcing, and content that can be selected and represented accurately by an AI system.

Advertisers face a separate adjustment. A longer conversation may give Google more information about a user's intent, potentially improving relevance. At the same time, the company has not explained how advertising will appear inside multi-turn AI interactions, how placements will be measured, or how commercial recommendations will be distinguished from organic answers.

Google's broader announcements point toward a connected strategy. The company introduced information agents that could monitor the web for conditions such as market changes, apartment availability, or product releases and then notify users. Those agents are expected to launch first for AI Pro and Ultra subscribers. Their success will depend on source quality, alert accuracy, permissions, and whether users trust systems to act continuously on their behalf.

What to watch next

The first signal will be rollout quality: whether multimodal inputs, follow-up conversations, and links to source material work consistently across devices, languages, and query categories. Reliability will matter more than feature count for users who treat Search as infrastructure.

The second is publisher traffic. Independent measurements of referral volume, click-through rates, and visibility in AI-generated answers will help test Google's claim that AI search expands the web rather than enclosing more of it inside the results page.

The third is monetization. Google has not detailed how ads will fit into conversational search, and that model could influence the design of the entire experience. Builders should also watch whether information agents remain limited to subscriptions or become part of mainstream Search.

Finally, competitors will be measured against a new baseline. Once a search engine accepts files, images, and live browser context at the main entry point, conventional keyword search may begin to look incomplete rather than standard.

Creati.ai perspective

Google is not simply adding a chatbot to Search. It is changing the contract between user and interface: users can provide richer context, ask less polished questions, and continue investigating without restarting the task. That makes the search box a more capable front door to Google's wider AI ecosystem.

The strategic risk is that a smoother interface can hide unresolved questions about accuracy, attribution, advertising, and publisher economics. Google's rollout will be judged not by how convincingly it demonstrates AI search at I/O, but by whether the new system remains fast, transparent, and useful when billions of ordinary queries meet the messy reality of the open web.