Google Finance launches Gemini AI tool for fully cited stock answers in minutes
Google Finance just rolled out an AI-driven add-on that seems aimed at traders who need data fast. It leans on Gemini, Google’s newest large-language model, and can turn a few keywords into a referenced rundown of a stock’s fundamentals, recent news and analyst sentiment. Unlike the usual chatbots that throw out unverified text, this tool actually shows the sources behind each claim and even sketches a step-by-step research plan so you can see how the answer was built.
For anyone used to digging through filings, earnings calls and market reports, that traceability could shave hours off the manual grind. The launch arrives at a time when more investors are experimenting with generative AI for live insights, yet many remain uneasy about “black-box” results. By putting citations front and center, Google appears to be trying to balance speed with accountability.
The company’s product lead, Robert Dunnette, director of product management for Google Search, walked us through what the feature can do…
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
Traders might see the new Deep Search as a handy shortcut. Google Finance has now slipped Gemini AI into the product, and the claim is that it can spit out fully cited answers in minutes. Robert Dunnette, the director, says the tool runs on the same advanced models that power Google Search, and it even prints a research plan so you can follow the AI’s line of thought.
On top of that, the rollout adds data from prediction markets, so it’s not just a plain Q&A engine. If you’re used to juggling spreadsheets, getting a quick, documented reply could shave hours off your prep work. The piece, however, doesn’t show any numbers on how accurate those answers are or where the citations come from - that part stays vague.
It’s also unclear whether the extra AI layer will slide into existing trading workflows without a hitch, or if people will actually trust a machine-generated plan. The move lines up with Google’s broader push to sprinkle AI across its services, but whether it will change day-to-day trading decisions is still an open question. As more users start to play with it, their feedback will probably steer the next tweaks.
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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.