AI Mode and Gemini Search Integration Make Queries Conversational
Google’s latest AI Search upgrade centers on a revamped AI Mode, now powered globally by the Gemini 3.5 Flash model. That integration underpins faster, more context-aware responses, and it blurs the line between traditional search and an ongoing chat with an assistant. A redesigned search box expands as users type, supporting richer prompts that can combine text, images, files, videos, and even open Chrome tabs. Beyond simple autocomplete, AI-powered suggestions help refine multi-step questions before users even hit Enter. Crucially, AI Overviews now act as gateways into deeper conversations: you can click through, ask follow-up questions, and have prior context carry forward while still seeing links and supporting articles. This Gemini search integration aims to keep the open web visible, but augments it with a persistent, conversational layer that helps interpret and structure complex information.
Search Agents Turn Google into a Task and Booking Assistant
Google is moving from search results to active problem-solving with new AI agents embedded in Search. Information agents can continuously monitor topics or requirements you define—such as product listings, finance updates, or sports data—by scanning web content and Google’s real-time feeds. Instead of repeatedly searching, users set conditions and let the agent watch for changes and surface updates. Google is also extending agentic booking capabilities. For local experiences and services, you can specify detailed requirements and receive pricing and availability, then jump directly to providers to complete reservations. In selected service categories like home repair, beauty, and pet care, users will even be able to ask Google to call businesses on their behalf. Together, these AI search agents are designed to handle multi-step workflows that go well beyond links, effectively turning Google into an assistant that tracks, negotiates, and progresses tasks over time.
AI Shopping Agents and the Universal Cart Feature Streamline Commerce
On the commerce side, Google is introducing AI shopping agents and the Universal Cart feature to simplify how users discover and buy products. Universal Cart works across Google services such as Search, the Gemini app, YouTube, and Gmail, allowing shoppers to add items into a single, persistent cart regardless of retailer. Gemini models then monitor these products, surfacing price drops, price history, stock alerts, and better deals across merchants. During checkout, Universal Cart taps into Google Wallet to factor in payment benefits, loyalty data, and merchant offers, and it can flag compatibility issues—like mismatched PC components—from different retailers. Behind the scenes, the Universal Commerce Protocol standardizes how agent-based commerce works across brands, while Google Pay remains a core checkout option. Merchants still retain control as the merchant of record, but shoppers gain a unified, AI-driven layer that optimizes purchasing decisions in real time.
Agent Payments and Content Verification Aim to Build Trust
To support AI agents that actually spend money, Google is rolling out the Agent Payments Protocol, or AP2. Users can define strict parameters—such as approved brands, specific products, and spending limits—before an AI agent completes a purchase. AP2 creates a verifiable link between user, merchant, and payment processor, generating digital mandates that capture the user’s instructions. Those records provide a shared reference for disputes, refunds, and returns, making AI-driven transactions more accountable. At the same time, Google is expanding content verification tools across Search, Gemini, Chrome, and Pixel devices. SynthID watermarking has already been applied to large volumes of AI-generated media, and new verification features let users check images, video, and audio through Search, Lens, AI Mode, Circle to Search, and Gemini. Support for C2PA Content Credentials further reveals whether media is an original camera capture or has been modified, helping users distinguish authentic content from synthetic or edited material.