Save hours of work with Deep Research as your personal research assistantNow powered by Gemini 2.0 Flash Thinking (experimental) Get up to speed on just about anything with Deep Research, an agentic feature in Gemini that can automatically browse up to hundreds of websites on your behalf, think through its findings, and create insightful multi-page, reports in minutes. Deep Research transforms your prompt into a personalized multi-point research plan Deep Research autonomously searches and deeply browses the web to find relevant, up-to-date information Deep Research shows its thoughts as it reasons over information gathered iteratively and thinks before making its next move Deep Research provides comprehensive custom research reports with more detail and insights, generated in minutes, saving you hours of time Gemini Deep Research is designed to tackle your complex research tasks by breaking them down, exploring the web to find answers, and synthesizing findings into comprehensive results. Now, with 2.0 Flash Thinking Experimental, Gemini is even better at all stages of research, from planning to delivering even more insightful and detailed reports. Understanding the landscape of competitors for a new product, including offerings, pricing, marketing and customer feedback. Investigating a potential sales lead, analyzing a company's products, funding history, team and competitive environment. Diving deep into subjects by comparing and contrasting key concepts, identifying relationships between ideas and explaining underlying principles. Evaluating different models of an appliance based on features, performance, price and customer reviews. It’s a step towards more agentic AI that can move beyond simple question-answering to become a true collaborative partner capable of sophisticated thinking and execution. Try it today at no cost. Senior Product Manager on Deep Research, Aarush Selvan, walks through the first Deep Research experience. On desktop On mobile In 150 countries In 45+ languages And to Google Workspace users Just select Deep Research from the prompt bar or model picker dropdown to get started and let Gemini do the research for you. Gemini Advanced users have expanded access to Deep Research. The day after we pioneered the Deep Research product category on Gemini in December 2024, we gathered some of the team behind the product for a discussion. To build Deep Research, we developed a new planning system that enables Gemini app to work through complex problems. For Deep Research, we trained Gemini models to be capable of: Breaking down the problem: When presented with a complex user query, the system first formulates a detailed research plan, breaking the problem into a series of smaller, manageable sub-tasks. You’re in control of the plan: Gemini presents it to you, and you can refine it to make sure it’s focused on the right areas. Research: The model oversees the execution of this plan, and intelligently determines which sub-tasks can be tackled simultaneously and which need to be done sequentially. The model can use tools like search and web browsing to fetch information & reason over it. At each step the model reasons over information available to decide its next move. We introduced a thinking panel for users to follow what the model has learnt so far & what it intends to do next. Synthesis: Once the model determines enough information has been gathered, it synthesizes the findings into a comprehensive report. In building the report, Gemini critically evaluates the information, identifies key themes and inconsistencies, and structures the report in a logical and informative way, even performing multiple passes of self-critique to enhance clarity and detail. In building Deep Research, we had to work through three significant technical challenges: Research tasks require multiple steps of iterative planning. At each step, the model has to ground itself on all information gathered so far, then identify missing information and discrepancies it wants to explore — all while trading off comprehensiveness with compute and user wait time. Training the model to be effective at long multi-step planning in a data efficient manner enabled us to make Deep Research function in an open domain setting across all topics. A typical Deep Research task involves many model calls over several minutes. This creates a challenge for building agents: It has to be built so that a single failure doesn’t mean having to restart the task from the beginning. To address this, we developed a novel asynchronous task manager that maintains a shared state between the planner and task models, allowing for graceful error recovery without restarting the entire task. This system is truly asynchronous: you can hop to a different app or quite literally turn off your computer after starting a Deep Research project and the next time you visit Gemini, you’ll get notified when your research is done. Over the course of a research session, Gemini can process hundreds of pages of content. To maintain continuity and enable follow-up questions, we use Gemini’s industry-leading 1 million token context window complemented with a RAG setup. This effectively allows the system to