Google Finance launches Gemini AI tool for fully cited stock answers in minutes
Google Finance is rolling out a new AI‑driven feature aimed squarely at traders who need quick, reliable data. The service taps into Gemini, Google’s latest large‑language model, to turn a handful of keywords into a fully referenced answer about a stock’s fundamentals, recent news, and analyst sentiment. Unlike generic chatbots that spew unverified text, this tool promises a transparent workflow: it not only lists the sources behind each claim but also outlines a step‑by‑step research plan so users can see how the answer was assembled.
For professionals accustomed to combing through filings, earnings calls, and market reports, that level of traceability could cut hours of manual digging. The rollout comes as investors increasingly lean on generative AI for real‑time insights, yet remain wary of “black‑box” outputs. By foregrounding citations and reasoning, Google hopes to bridge the gap between speed and accountability.
As a result, the company’s product lead, Robert Dunnette, director of product management for Google Search, explained the tool’s capabilities…
Robert Dunnette, director of product management for Google Search, said the tool uses Google's advanced Gemini AI models and can "produce a fully cited, comprehensive response in just a few minutes." It will also display a research plan so you can follow along and better understand the AI's reasoning. Deep Search will roll out in the US in the coming weeks. If that's too far away, Dunette said users can opt in to an early access program through the Google Labs platform.
There will be usage limits for the tool -- higher for Google AI Pro and AI Ultra subscribers -- though Google did not specify what these may be. Google Finance is also getting some non-AI upgrades as well. The company's adding support for prediction market data from Kalshi and Polymarket over the coming weeks, which it says you can access directly from the search box by asking questions about future market events, such as GDP growth.
Dunnette says the tool lets you "harness the wisdom of the crowds" and will show current market probabilities and how they've changed over time. Last week, Google launched an "earnings" tab to make keeping track of earnings calls easier. In addition to the new features, Google said it is rolling out the AI-ified Google Finance in India this week.
Both English and Hindi will be supported, though users there won't get access to the latest upgrades like Deep Search. Most Popular - Nintendo is getting the Switch ready for retirement - Lego's first Star Trek set is a $400 Enterprise with Data, Picard, and Worf minifigures - Epic and Google agree to settle their lawsuit and change Android's fate globally - Google Maps taps Gemini AI to transform into an 'all-knowing copilot' - Ikea's new smart home collection is entirely Matter-compatible
Will traders find the new Deep Search useful? Google Finance now bundles Gemini AI into its platform, promising fully cited answers within minutes. The feature taps the same advanced models that power Google Search, according to director Robert Dunnette, and it even lays out a research plan so users can trace the AI’s reasoning.
In addition, the rollout includes support for prediction markets, extending the toolkit beyond simple queries. For those accustomed to manual spreadsheet work, the promise of rapid, documented responses could cut down research time. Yet the article offers no data on accuracy or how the citations are sourced, leaving an open question about reliability.
Moreover, it’s unclear whether the added AI layer will integrate smoothly with existing trading workflows or whether users will trust a machine‑generated plan. The move fits Google’s broader push to embed AI across its services, but practical impact on day‑to‑day trading decisions remains to be demonstrated. As the feature rolls out, feedback from actual users will likely shape its future refinements.
Further Reading
- Google Finance Gets Gemini Deep Search for Stock Traders - Tech Buzz
- Google Finance Gets Major AI Upgrade with Deep Search - Tech Buzz
- Google Finance adds AI features for research, earnings and more - Google Blog
- Google Finance Gets AI Overhaul with Deep Search & Earnings - Tech Buzz
- Google adds Gemini's Deep Search to Google Finance, which will also have prediction market data from Kalshi and Polymarket for event analysis - Techmeme
Common Questions Answered
What is the name of the new AI‑driven feature that Google Finance is introducing for stock research?
The feature is called Deep Search, and it integrates Google’s Gemini large‑language model. It delivers fully cited, comprehensive answers about a stock’s fundamentals, recent news, and analyst sentiment within minutes.
How does Gemini AI ensure the answers it provides about a stock are transparent and verifiable?
Gemini AI lists the original sources behind each claim and presents a step‑by‑step research plan. This workflow lets users trace the AI’s reasoning and verify the data used in the response.
Who announced the capabilities of the Gemini‑powered tool and what specific benefits did they highlight?
Robert Dunnette, director of product management for Google Search, announced the tool. He highlighted that it can produce fully cited, comprehensive responses in just a few minutes and that it displays a research plan for user insight.
When and how can US users access the Deep Search feature before its general rollout?
Deep Search is scheduled to roll out in the United States in the coming weeks. Users can join an early‑access program through the Google Labs platform to try the feature ahead of the broader launch.
What additional functionality does the Deep Search rollout include beyond answering simple stock queries?
The rollout adds support for prediction markets, expanding the toolkit beyond basic stock queries. This allows traders to explore market forecasts and sentiment alongside traditional fundamental data.