Google’s Deep Research AI agent now available in the Gemini Android App

Google’s Deep Research is an agentic feature that conducts comprehensive web research on behalf of users, and now it’s available through the Gemini Android app.

Key Features and Functionality: Deep Research operates by creating and executing multi-step research plans based on user queries.

• Users can pose questions about any topic, and the AI develops a research strategy that can be approved or rejected
• The feature mimics human research behavior by browsing the web, making iterative searches, and compiling findings
• Results are presented as organized reports with source links for further exploration
• Users can refine reports through follow-up questions and export final results to Google Docs

Platform Availability: The feature’s rollout represents a significant expansion of Gemini’s research capabilities across platforms.

• Previously available only on desktop and mobile web for Gemini Advanced users
• Now accessible through the free Gemini Android app by selecting “1.5 pro with Deep Research” from the app’s menu
• Integration maintains consistent functionality across platforms while expanding user accessibility

Service Integration and Pricing: Deep Research is part of Google’s broader AI and productivity ecosystem.

• Available through the Google One AI Premium plan at $20 monthly
• Subscription includes 2TB storage, enhanced Google Photos editing, 10% Google Store rewards
• Package also features Google Meet premium video calling and Gemini for Workspace
• New users can access a two-month free trial period

Strategic Implementation: The rollout strategy demonstrates Google’s approach to democratizing AI research capabilities.

• Focuses on reducing the overwhelming nature of web research by automating the process
• Maintains transparency by providing source links and allowing user oversight of the research plan
• Enables iterative refinement of results, allowing users to guide the research process

Looking Forward: As AI research assistants become more sophisticated, the distinction between human-conducted and AI-assisted research may blur, potentially raising questions about the evolving nature of academic and professional research methodologies.