Google Redesigns Its Search Box Around Multimodal AI Conversations

Google is redesigning the search box that has defined web search for 25 years, turning it from a compact keyword field into a multimodal entry point for AI-assisted conversations. The change lets users submit longer questions, images, PDFs, videos, files, and content from open Chrome tabs directly from the main search interface.

Announced at Google I/O and reported by VentureBeat AI, the redesign also brings AI Overviews and AI Mode into one continuous search flow. Google says the goal is to remove the choice between a traditional results page and an AI-first experience, a shift that could affect how people search, how publishers earn traffic, and how businesses optimize for discovery.

From keywords to multimodal prompts

The redesigned search box expands as users enter longer queries. That visual change is small, but it signals a different model of search behavior: instead of encouraging users to reduce a question to two or three keywords, Google is inviting them to describe a problem in detail.

The interface also accepts multimodal inputs at the primary search entry point. Users can reportedly upload images, PDFs, videos, and other files, or pull material from Chrome tabs. Some of these capabilities were already available through AI Mode, but Google’s redesign places them closer to the familiar search workflow rather than behind a separate destination.

Google is adding an AI-powered query suggestion system that goes beyond conventional autocomplete, according to VentureBeat’s account of a company briefing. Rather than predicting only the next word, the system is intended to help users develop more detailed questions that can be handled by AI Mode.

That could change the role of the search box from a passive input field into an active guide. For product teams, the important distinction is that the interface may begin shaping user intent before a result is returned.

AI Overviews and AI Mode become one flow

The more consequential change may be architectural rather than visual. Google is merging AI Overviews, which appear alongside or above conventional results, with AI Mode, its more conversational search experience.

Under the reported flow, a user can ask a question, receive an AI Overview with links and conventional results, and then continue with follow-up questions without opening a separate search mode. Google Search is therefore becoming less like a sequence of independent queries and more like a persistent research session.

Liz Reid, Google’s vice president and head of Search, told reporters that users should not have to decide in advance whether they want a traditional page or an AI-forward experience. The company’s position, as reported by VentureBeat, is that a unified entry point will make advanced features more accessible to people who would not deliberately seek out AI Mode.

The rollout is reported to begin in countries and languages where AI Mode is available, while the merged experience is described as launching across mobile and desktop worldwide. The source does not provide a detailed country-by-country schedule, so availability may vary by market and account.

Google’s usage and model claims need context

Google presented the redesign alongside usage figures for its AI search products. The company said AI Mode had exceeded one billion monthly users in its first year in the United States and that AI Mode queries had doubled each quarter since launch. It also said AI Overviews reached more than 2.5 billion monthly users, while overall search volume reached a record level in the previous quarter.

These are vendor-reported adoption signals, relayed through VentureBeat’s coverage of the briefing rather than independently verified measurements. Google CEO Sundar Pichai used the figures to argue that AI features are increasing search activity rather than replacing traditional search. That conclusion remains a company interpretation, particularly because the evidence supplied does not show how usage is defined or how much activity represents new behavior rather than a shift between search surfaces.

The redesigned experience will use Gemini 3.5 Flash, according to Google. The company claims that the model exceeds its earlier Gemini 3.1 Pro model on nearly all benchmarks and generates output substantially faster than comparable frontier models. Those performance claims are also vendor-reported; the available evidence does not include a full benchmark methodology, independent testing, or production latency data.

Speed is nevertheless central to the product strategy. Search users expect immediate responses, and a conversational system that introduces noticeable delays could undermine the habit Google is trying to preserve. A faster model may help Google control serving costs and latency, but the source does not disclose per-query economics or how often larger models will be used behind the scenes.

Search becomes a platform for generated tools and agents

Google is extending the redesigned interface beyond answers. The company says its generative UI system will create interactive widgets, visualizations, and small applications in response to questions. One example described by Reid involved an interactive explanation of how black holes affect spacetime, with follow-up questions producing new visuals.

Google says these experiences rely on real-time code generation developed with Google DeepMind and powered by Gemini 3.5 Flash. Generative UI is expected to become broadly available at no charge in the summer, while more persistent, customizable experiences will arrive later for Google AI Pro and Google AI Ultra subscribers in the United States.

The company also previewed information agents that can monitor the web and notify users when specified conditions are met. Possible uses include tracking financial sectors, apartment listings, or product releases. These agents are expected to launch first for paid subscribers.

For builders, this expands the competitive surface. Search is no longer only a distribution layer for web pages; it could become a place where Google constructs temporary interfaces and performs ongoing monitoring. That creates opportunities for richer answers but also raises questions about source attribution, agent reliability, permissions, and the boundaries between a search result and an automated service.

What to watch next

The first signal will be actual availability: which countries, languages, accounts, and devices receive the redesigned search box, and whether multimodal inputs are enabled consistently. Google’s rollout language suggests a broad launch, but the source does not establish that every feature will arrive everywhere at the same time.

Publishers should watch referral traffic and the visibility of links inside AI Overviews and AI Mode. A conversational session may answer several follow-up questions without requiring a click, even if Google maintains that AI features can increase traffic to the web. Advertisers will also need to see how commercial results fit into multi-turn conversations and how intent is measured across an extended interaction.

Developers and enterprise buyers should evaluate whether generated visuals and information agents provide verifiable sources, stable outputs, and useful controls. The difference between a compelling demo and a dependable workflow will depend on monitoring, citations, failure handling, and data access policies—details Google has not fully specified in the evidence available here.

Creati.ai perspective

Google’s redesign matters because it changes the default behavior of search without requiring users to adopt a new standalone AI product. By placing files, images, follow-up questions, and agent-like functions inside the familiar search box, Google can move conversational AI from an optional feature to the normal starting point for information work.

The opportunity for Google is greater engagement and richer intent signals. The risk is that a more self-contained search experience could intensify pressure on publishers and make it harder for users to distinguish sourced information from generated synthesis. The rollout, independent usage data, and the quality of links and citations will determine whether this is a more capable search interface—or simply a more automated one.