Google Search Agents Signal a Shift From Queries to Background Tasks and Transactions

Google is set to introduce AI agents into its Search feature, marking a significant shift from traditional query-based results to more proactive, background tasks and transactions. These agents will be capable of monitoring information, evaluating options, and taking certain actions on behalf of the user. For businesses, this raises the question of whether their website's information is clear enough for AI systems to understand and act upon.

Google's official announcement outlines two categories of Search agents: information agents and agentic tasks. Information agents will continuously monitor topics across blogs, news, and social media based on user-defined criteria, providing updates and potentially triggering actions. Agentic tasks include booking local experiences and services, as well as making calls to businesses on behalf of users.

Google is planning to roll out information agents first for Google AI Pro and Ultra subscribers in summer 2026, with wider availability in the United States later in the season. The company also intends to expand agentic capabilities to include shopping, with the goal of completing actions through providers. Google's support for this direction involves further integration of Gemini 3.5 Flash in Search and the introduction of an AI-powered Search box and agentic coding features.

In addition to Search, Google plans to expand Personal Intelligence to 98 languages and about 200 countries, connecting it to Gmail, Google Photos, and soon, Calendar. This broader rollout points to Search becoming more contextual and better able to work with a user's information and ongoing goals. While traditional SEO has focused on helping a page appear when a person searches for a term, the introduction of AI agents changes the landscape.

An agent may work through a multi-step task, such as monitoring a category, identifying options, checking constraints, seeking clarification, or arranging a booking. Businesses should focus on making their information specific, consistent, and usable, ensuring that it is easy to understand and act upon in an agent-mediated journey.