Google Updates Gemini Deep Research Agent

Google Updates Gemini Deep Research Agent

Google Unveils Enhanced Gemini Deep Research Agent

Google has introduced an updated version of its Gemini Deep Research agent, providing developers with access to advanced autonomous research tools.

From Report‑Writing Assistant to Autonomous Research System

The new version, powered by Gemini 3 Pro, transforms the agent from a specialized report‑writing assistant to a fully autonomous research system. This enhancement allows the agent to analyze and summarize large volumes of complex data, delivering more detailed and accurate reports than before.

Reducing Hallucinations for Long‑Running Tasks

According to Google, the revamped system is designed to reduce hallucinations, a critical requirement for agents operating over extended periods. The agent is optimized for long‑running tasks involving context gathering and synthesis. By leveraging multi‑step reinforcement learning for search, the agent can autonomously navigate complex information landscapes with high accuracy.

New Interactions API

The release also includes a new Interactions API, which allows developers to embed Google’s research capabilities directly into their own applications. This interface is designed to facilitate interaction with different agents and give developers greater control amid the rise of agentic AI.

Early Adoption Across Industries

Early users are already applying the updated Gemini Deep Research agent in various fields, including financial services, biotech, market research, and drug‑toxicity safety research, where precision and traceability are essential.

Future Integration Plans

Google plans to integrate the new deep research agent across its services, including Google Search, Google Finance, the Gemini App, and Notebook LM.

DeepSearchQA Benchmark

Alongside the launch, Google unveiled a new benchmark for complex web searches called DeepSearchQA. This framework evaluates agents on intricate, multi‑step information‑seeking tasks. Using this benchmark, Google observed significant performance gains when agents were given more time to perform searches and reasoning steps. The company plans to further develop this aspect in future releases.

Industry Context

The announcement coincides with OpenAI’s release of GPT‑5.2, described as its most capable series yet for professional knowledge work. The simultaneous releases highlight the intensifying competition between the two companies as they race to define the next generation of agentic AI systems.