Google Unveils Gemini Deep Research: AI-Powered Research Assistant Promises to Revolutionize Information Gathering

How To Use Gemini Deep Research : The Ultimate Research Tool

Google Gemini Advanced 1.5 Pro is an innovative AI-powered tool designed to streamline and enhance the research process. By automating tasks such as data collection, analysis, and report generation, it enables professionals across various industries -- including academic researchers, financial analysts, and business strategists -- to conduct thorough, efficient, and accurate investigations. This guide by AI Grid provides a detailed walkthrough of its features, setup, and best practices, allowing you to maximize its potential for your research needs. Have you ever found yourself drowning in endless tabs, trying to piece together reliable information for a project, report, or analysis? Research can often feel like a daunting maze, with time slipping away as you sift through scattered data and questionable sources. Whether you're an academic, a financial analyst, or tackling a complex topic, the struggle to gather accurate, comprehensive insights is all too familiar. But what if there was a way to streamline this process, saving time and effort while delivering polished, actionable results? Enter Google Gemini Advanced 1.5 Pro -- a tool designed to transform how we approach deep research. Learn everything you need to know about using the power of Google Gemini Advanced 1.5 Pro. From setting up the tool to customizing workflows and generating detailed reports, you'll discover how this AI-powered assistant can transform your research process. Whether you're exploring innovative technologies, analyzing market trends, or diving into academic inquiries, this tool promises to simplify the journey and improve your results. To unlock the full capabilities of Google Gemini Advanced 1.5 Pro, proper activation and setup are crucial. Follow these steps to get started: Activating the correct version is vital, as it grants access to advanced functionalities tailored for comprehensive research. Once activated, you can define your research objectives and customize the tool to suit your specific needs. This initial setup lays the foundation for a seamless and efficient research process. The key to using Google Gemini lies in creating a well-defined research workflow. This begins with crafting a clear and specific prompt that guides the AI to generate a tailored research plan. For instance, if you are exploring advancements in renewable energy, your prompt might focus on recent innovations, key players, or emerging trends in the industry. Once the tool generates a workflow, you can refine it to align with your objectives. Customization options include: This flexibility ensures that the research process remains efficient, targeted, and adaptable to evolving requirements. By iterating on the workflow, you can uncover deeper insights and maintain relevance throughout your investigation. Unlock more potential in Google Gemini by reading previous articles we have written. Google Gemini Advanced 1.5 Pro excels at aggregating data from a wide range of sources, including websites, forums, academic journals, and more. As the tool collects information, it provides a visual progress tracker, offering a clear overview of the research process. Once data collection is complete, the tool generates a comprehensive report that includes: For example, if you are analyzing consumer behavior in e-commerce, the report might highlight purchasing trends, demographic insights, and emerging market opportunities. This functionality not only saves time but also ensures that the results are accurate, reliable, and ready for immediate application. One of the standout features of Google Gemini Advanced 1.5 Pro is its AI research adaptability. You can refine your prompts and research plans at any stage, allowing you to adjust the process as new insights emerge. Additionally, the tool offers seamless options for exporting and sharing your findings: This integration streamlines workflows, making it easier to analyze, share, and act on your research results. Whether you are collaborating with a team or presenting to decision-makers, these features enhance the utility and accessibility of your findings. The versatility of Google Gemini Advanced 1.5 Pro makes it an invaluable tool for a wide range of applications. Its ability to adapt to different research needs ensures its relevance across industries. Here are some examples: For instance, a financial analyst can use the tool to identify market trends and generate actionable insights, while an academic researcher might use it to compile a comprehensive literature review. Its adaptability ensures that it meets the unique demands of diverse users. To fully harness the capabilities of Google Gemini Advanced 1.5 Pro, consider implementing these best practices: These strategies will help you maximize the tool's efficiency while making sure the accuracy and relevance of your research. By adopting an iterative approach, you can refine your results and uncover valuable insights that might otherwise be overlooked. Google Gemini Advanced 1.5 Pro offers several advantages that make it an essential resource for researchers and professionals: Whether you are preparing an academic paper, conducting a market analysis, or exploring a niche topic, this tool simplifies complex tasks, allowing you to focus on deriving meaningful conclusions and making informed decisions.

Google's Gemini Can Now Do Research in Minutes That Would Take a Human Hours

Google has launched an AI tool that conducts research on your behalf and churns out detailed, easy-to-understand reports so you don't have to, according to a blog post from the company published on Wednesday. The Gemini "Deep Research" tool runs on the Gemini 1.5 Pro model and is available on desktop and mobile via a web browser in English. To access it, go to www.gemini.google/advanced/, click the Gemini Advanced logo at the top left, and pick "1.5 Pro with Deep Research." Once launched, you can ask Gemini to research a particular topic. In response, the tool will develop a multi-step research plan for you to revise or approve. If you approve it, the tool will start researching. It will browse the web for different takes and refine its analysis. This process will be repeated multiple times before a comprehensive report with key findings is delivered. The report will be organized and include links to relevant sources. You can also ask Gemini follow-up questions or to make changes to the report. Once the final report is ready, it can easily be exported to Google Docs. According to Google, the entire process takes a few minutes but saves hours of research. While this could help users save time, there's always the possibility that the AI hallucinates parts of its report, generating inaccuracies or falsehoods buried in a multi-page document. Or, the feature could be misused to complete school assignments where AI is not allowed, for example. The American Psychological Association, which oversees the academic APA Style Guide, recommends human oversight when using AI tools because it argues you have to take responsibility for that AI-generated work and an AI can't be considered an author. If you're looking to try it out, though, Deep Research is only available to Gemini Advanced subscribers. Google is currently offering a free trial for the first month, but after that the subscription costs $20 a month in the US. Separately, Google also announced Gemini 2.0 on Wednesday. The company hopes this new model will enable developers and testers to build more AI agents capable of accomplishing tasks autonomously. Deep Research, which essentially mimics a research assistant, is just a simple example of this vision (though it's not built on a 2.0 model). The first model in the Gemini 2.0 family, an experimental version of Gemini 2.0 Flash, is available to all users on the desktop and mobile web -- with plans to launch it on the mobile app soon. Deep Research will also be added to the Gemini mobile app in early 2025.

Gemini's latest tool promises to turn hours of research into mere minutes

Deep Research is available today in Gemini Advanced on the web, and will come to the mobile app in 2025. Today, Google announced the launch of Gemini 2.0, its latest and greatest AI model to date. But that's not the only Gemini-related news the company had to share today. Along with Gemini 2.0, the company is also rolling out a Gemini Advanced feature that's designed to be your research assistant. In a blog post, the tech giant revealed an agentic Gemini Advanced feature it calls "Deep Research." As it's described, Deep Research is a tool capable of searching and finding information across the web on your behalf. It then presents to you an easy-to-read report you can look over. How it works is you ask it a question and it will create a multi-step research plan that you can approve or revise. It then scours the internet for relevant information that it uses to refine its search. According to Google, this process is repeated multiple times over the course of a few minutes. Once it's done, it generates a report of key findings, complete with links to sources, that can be exported to a Google Doc. The tool's purpose is to condense what could be hours of research into minutes, saving people time. Such a feature could prove to be handy for college students or professionals. If you want to give this new agentic feature a try, it is available now in English in Gemini Advanced on the web. To try it, you just have to toggle the model drop-down to "Gemini 1.5 Pro with Deep Research" and ask your question. This feature is also coming to the mobile app, but it won't be ready until early 2025.

This Gemini Feature Can Research Complex Topics for You

Google says users can do hours of research in minutes with this tool Google added a new agentic feature to Gemini on Wednesday. Dubbed Deep Research, the feature was introduced alongside the new Gemini 2.0 family of AI models. It can create multi-step research plans, run web searches, and prepare a detailed report on complex topics. The Mountain View-based tech giant says the feature can be useful to researchers and students who have to write research papers. The new artificial intelligence (AI) feature is available to the Gemini Advanced subscribers on the web version of the chatbot. Advanced reasoning has become a topic of interest for AI firms who are trying to increase the intelligence and processing power of their AI models. While upgrading the analytical capability of large language models (LLMs) will require reimagining the network architecture and learning algorithms, researchers have developed some shortcuts to somewhat achieve this. One popular method, which is used by OpenAI's o1 models and the recently released models by Alibaba increases the compute time, allowing the AI to spend more time on the same question. This allows the AI to verify its answers, consider other alternatives, and eventually generate more detailed responses. Another way to do it is via AI agents, which Google did with the Gemini AI model. The Deep Research feature is essentially an agentic feature. Once a user adds a query about a complex topic, the AI agent begins creating a multi-step research plan. A typical plan includes steps such as breaking down the topic into smaller parts, finding relevant research papers and articles on the topic, looking into trends, future impacts, and related areas. Once the research plan is ready, users can intervene and add or remove steps or change them to better target the topic. After that the AI begins executing the plan and starts researching all the information. The agentic feature can also run several new web searches based on its learnings to understand additional topics. After that, it analyses the gathered data, creates a detailed report and shows the output to the user. These responses will generally be more in-depth and detailed than a typical response from Gemini. Google says this is ideal for market researchers, academicians, research students, and even entrepreneurs. Currently, Deep Research is available in Gemini Advanced on the web version of the chatbot in the English language. Google highlighted that the feature will be made available in the mobile app in early 2025. Deep Research can be found in the model selector drop-down menu and is listed as "Gemini 1.5 Pro with Deep Research".

Gemini's new Deep Research feature searches the web for you - like an assistant

Google's new agentic AI feature even provides a digestible report to help you better understand complex topics. The web is filled with resources, which makes it possible to find all the answers you need in one place, but this can also make finding exactly what you need a long and overwhelming process. Google's new Deep Research offering aims to help you manage that process. On Wednesday, Google announced several AI advancements and releases. One of the biggest standouts for everyday users is Deep Research, an agentic feature for Gemini Advanced that can conduct thorough research on your behalf. Also: AI is moving undercover at work in 2025, according to Deloitte's Tech Trends report With Deep Research, you can pose a question about the topic you want to learn more about. The agentic feature will create a multi-step research plan, which you can approve or disapprove. If the plan is approved, it will browse the web for you for a few minutes. The Deep Research process mimics what humans do when engaging in research processes, such as browsing the web, making new searches with their findings, and continuing the process multiple times until it has collected sufficient information to answer your question. Also: Is this the end of Google? This new AI tool isn't just competing, it's winning Those findings are then used to create a comprehensive report, organized with links to the original sources so that you can dive deeper into a particular area of interest. That report can be refined with follow-up questions, and once you are happy with the result, you can export it into Google Docs. The experience is rolling out today to Gemini Advanced users on the desktop and mobile web -- with plans to roll out to the app in early 2025. To use it, just select "1.5 pro with Deep Research" from the model toggle picker under the Gemini Advanced logo in the upper left-hand corner. Also: iOS 18.2 rolls out to iPhones: Try these 6 new AI features today Gemini Advanced is part of the Google One AI Premium plan, costing users $20 per month. Other perks of the plan include 2TB of storage, Google Photos editing features, 10% back in Google Store rewards, Google Meet premium video calling features, and Gemini for Workspace. Google also offers users a two-month free trial as part of the new plan. Google also announced Gemini 2.0, its most advanced model. All Gemini users will be able to try Gemini 2.0 Flash Experimental's chat-optimized version via the model picker toggle on mobile web and desktop, and it will be coming to the Gemini app soon. With the model, users should see enhanced performance, but since it's an early preview, Google warns that it may not work as expected.

Google's Gemini Can Now Perform Hours of Research for You in Just Minutes

Your Chromebook Has a New Factory Reset Option for When You Don't Want to Nuke Everything A new day means a new update to Gemini, Google's fashionable AI-powered assistant. This time, the company is rolling out another efficiency-focused update, including a tool that will translate complex research into a digestible report. ✕ Remove Ads Google Is Introducing a Deep Research Tool to Gemini Most of us are used to asking casual questions to virtual assistants, such as a request for a vegetarian taco recipe or curiosity about how fast polar bears can swim. Sure, these basic chats can save you a bit of parsing through search results, but Google is taking Gemini's time-saving potential to a new level with a feature called Deep Research, intended for more complex queries. Google's latest update will offer Deep Research to those who pay for Gemini Advanced. The tool promises to save you "hours of research and cross-referencing a sea of open tabs," as put by Google in The Keyword. In just a few minutes, Gemini can turn a multifaceted research question into a detailed report of findings, citing its sources along the way. Gemini will also give you the option to export its response into a Google Doc. ✕ Remove Ads Making Up for Lost Time While Gemini will include original sources with this new tool, allowing you to check its work for potential misinterpretations or hallucinations, this seems to confront Google's promise of saved time. At this stage of artificial intelligence, most people don't take AI-fueled data at face value. This is often at the request of the company behind the model, with chat windows still bearing disclaimers that recommend for you to "double-check" its work. Accordingly, fact-checking AI-generated information is one of the most important tips students should consider when using AI tools. In the case of Deep Research, Google seems to quell this fear by claiming that you'll have oversight through the process: "Under your supervision, Deep Research does the hard work for you. After you enter your question, it creates a multi-step research plan for you to either revise or approve. Once you approve, it begins deeply analyzing relevant information from across the web on your behalf." ✕ Remove Ads Still, approval of a research plan doesn't mean the data that comes back is necessarily accurate. Flash Bonus In case you're not convinced of the Deep Research feature's true efficiency, you might also check out Gemini 2.0 Flash Experimental. Announced alongside the update, this early version of Google's next Gemini model will reportedly demonstrate better response speeds. At the time of writing, the experimental model is only available on a desktop or mobile browser, and is not yet available on the mobile app. Inevitably, there will be good and bad with the evolution of AI assistants, and features like Deep Research will likely have a bit of both. As a writer, I can empathize with the challenge of starting something, be it a research paper, an article, or a script. Sometimes, a bit of structure actually does save hours of writer's block. However, while a tool like Deep Research could save you from doing the heavy lifting, bad research could cost you more time (and potentially serious issues) in the long run. ✕ Remove Ads

Google's Gemini Deep Research tool is here to answer your most complicated questions

It can produce detailed but easy-to-read reports on some of the most niche subjects. When Google in February, the company touted the model's ability to reason through what it called "long context windows." It said, for example, the algorithm could provide details about a 402-page Apollo 11 mission transcript. Now, Google is giving people a practical way to take advantage of those capabilities with a tool called . Starting today, Gemini Advanced users can use Deep Research to create comprehensive but easy-to-read reports on complex topics. Aarush Selvan, a senior product manager on the Gemini team, gave Engadget a preview of the tool. At first glance, it looks to work like any other AI chatbot. All interactions start with a prompt. In the demo I saw, Selvan asked Gemini to help him find scholarship programs for students who want to enter public service after school. But things diverge from there. Before answering a query, Gemini first produces a multi-step research plan for the user to approve. For example, say you want Gemini to provide you with a report on heat pumps. In the planning stage, you could tell the AI agent to prioritize information on government rebates and subsidies or omit those details altogether. Once you give Gemini the go-ahead, it will then scour the open web for information related to your query. This process can take a few minutes. In user testing, Selvan said Google found most people were happy to wait for Gemini to do its thing since the reports the agent produces through Deep Research are so detailed. In the example of the scholarship question, the tool produced a multi-page report complete with charts. Throughout, there were citations with links to all of the sources Gemini used. I didn't get a chance to read over the reports in detail, but they appeared to be more accurate than some of Google's less helpful and flattering . According to Selvan, Deep Research uses some of the same signals Google Search does to determine authority. That said, sourcing is definitely "a product of the query." The more complicated a question you ask of the agent, the more likely it is to produce a useful answer since its research is bound to lead it to more authoritative sources. You can export a report to Google Docs once you're happy with Gemini's work. If you want to try Deep Research for yourself, you'll need to sign up for Google's , which includes access to . The plan costs $20 per month following a one-month free trial. It's also only available in English at the moment.

Google adds Deep Research to Gemini for browsing the web on your behalf

A new Google Gemini tool can do the work of researching the web for you. On Wednesday, Google announced Deep Research, a feature for the paid version of its AI model, Gemini Advanced, which acts as a sort of AI research assistant. When using Deep Research mode in the dropdown, users can ask Gemini for help with research topics like grad school programs or a competitive industry analysis and Deep Research will compile a detailed report of what it has found on the web. "It's these kinds of journeys where you're going to have to open many tabs and spend quite a lot of time hunting for information, and we really wanted to help speed up the process of going from like zero to 60 in a new topic, fast," said Gemini Senior Product Manager Aarush Selvan, during a demo for Mashable. Google's Deep Research tool is indicative of the next phase of generative AI where models can execute multi-step tasks on the user's behalf. Anthropic's Claude has a programming feature that can take over your cursor and conduct computing tasks like clicking and typing. Microsoft recently released its Copilot Vision feature which visually processes what the user sees on the Edge browser to help with comparison shopping or research. OpenAI is rumored to be releasing an AI agent for coding and web browsing. Google is also reportedly working on a Chrome feature for similar web-browsing capabilities. All of these features have agentic AI properties that push generative AI towards autonomous behavior. Deep Research starts by outlining a research plan for how it's going to compile information - genAI's way of showing its work. When you hit start, it gets to work browsing the web on your behalf and finding relevant information. Once it's finished, the new report opens up in a new canvas that shows citations that you can click into. You can also ask follow up questions or ask for specific edits like adding new sections of information. Plus, you can open the report in Google Docs, which is a useful perk. The feature works off of the existing Google Search architecture. So it's essentially doing a bunch of googling for you and compiling what you might have found on the web -- just way faster. Since it leans on Google Search, Deep Research also inherits its rules around restricted or banned content, so it won't read adult sites or sites that violate its policies said Selvan. Selvan also explained that Deep Research can't access websites that require a login, like many social media sites, and also can't bypass paywalled sites. When asked about how the feature responds to sites that block web crawlers, a spokesperson said, "Deep Research currently will not use any URLs opted out via Google-Extended to generate the research reports." Google-extended is the web crawler that Gemini uses to scrape sites for training data. Deep Research is live today for Gemini Advanced, which costs $20 a month.

Google Releases Faster Gemini 2.0 With 'Deep Research'

Gemini 2.0 is supposed to make Google's AI come alive thanks to agents and Deep Research to create quick, internet-based reports. Welcome to the new age of AI. Wait, you’re probably assuming we were already basking in the glow of artificial intelligence? Yes and no, at least according to Google. The tech monolith behind Gemini is ready to show us Gemini 2.0, which Google said will power agents to operate your phone or device and all its apps on your behalf with "agentic" AI. What makes 2.0 a full upgrade over the first instance of Gemini introduced in December last year (though it took several months to come to Android and iPhone with Gemini 1.5)? For one, it's supposed to offer faster responses based on your prompts. While Gemini 1.5 can generate AI images with the company's Imagen 3 model, the new version will also have AI audio output. The most important aspect of 2.0, Google said, is that it's made for AI agents. If you haven’t heard the buzzword before, think of agentsâ€"or “agentificationâ€â€"as multiple AI models communicating with each other. The idea is that the AI can essentially take over your phone at your request. If you want the AI to look into your emails, draw out your reservation for your date, and then put it into your calendar, an AI agent should be able to handle that. This “universal assistant,†as Google calls it, starts with Gemini 2.0 Flash, which should be available starting Wednesday to all Gemini users. If you have Gemini Advanced, you get a new tool called Deep Research, a kind of AI agent that does all your internet-based research for you and then generates a large book report. Google’s tool is supposed to allow users to “do their own research†and generate reports in a few minutes. We’ll have to wait and see how many students try to pass these reports off as their own work. Deep Research is technically an agent, but Google said more developers are also working on getting agentic AI working in their own apps. As far as examples go, the Mountain View, California company showed off how a Gemini 2.0-based agentic AI could create, evaluate, merge, and execute code on the fly. It’s a new “Jules†tool similar to Microsoft's ongoing GitHub Copilot. The company also promoted a video of Gemini 2.0 interacting with several Supercell mobile games like Clash of Clans. The AI could read the screen and offer advice about the current meta for Squad Busters. It could also remind players to complete their daily challenges to earn that sweet, sweet in-game currency. Is that all too exciting? No, not necessarily. The AI’s coaching seemed surface-level, not offering any advice or strategy beyond building picks you could look up yourself between matches. The real “agentic†AI may be the long-awaited Project Astra from Google DeepMind. Gizmodo used it in a past iteration at Google I/O earlier this year. The tool is akin to Gemini Live but with far more vision and interpretation capabilities with your phone’s camera. The new iteration is supposed to result in better, more conversational dialogue. It’s also supposed to remember your conversations, and now it can operate with Google Search, Google Lens, and Google Maps. There’s still no word on when Astra will be available to more users. For now, the feature is simply in the testing phase, and parts of it will likely be molded into various Gemini products in the future. The internet rabbit hole is deep, but Google says it has a new tool for digging for you. If you can trust everything, it rips from the net. The company’s Deep Research tool first creates a “research plan†that’s essentially an outline of an overall report. Then, it runs through a list of websites it finds applicable before laying it all out in a multi-page report, complete with some tables and graphs. It displays where it got its information at the very bottom. The tool is available to all Gemini Advanced users in English starting today. It’s currently only available on desktop devices like Chromebooks or through the browser, though the mobile version should be available sometime next year. This entire process can take some time. For instance, I asked Gemini Advanced to research Deep Mind’s history with Google before its acquisition in 2014. Gemini laid out its research plan, including DeepMind’s early stages and funding through its academic publications. Google says you need to select “1.5 Pro with Deep Research†from the drop-down menu, though it was not available on my account as of this writing. The AI chatbot claimed it knew what it was supposed to do, so I prompted it to finish the report; I started waitingâ€| and waiting. Google’s blog mentions that the tool should take “a few minutes†to refine its analysis. I prompted Gemini Advanced and asked how long the research would take. Gemini said it would take “6-12 hours to complete the report.†The tool is obviously new, and the AI may not be accurate when it tells me the timetable, but I can’t help laughing. The AI takes about as long as it would take your average undergrad to create a last-minute report the night before it's due. Google’s Deep Research runs on the larger Gemini model with a 1 million token context window, but that doesn’t mean it’s necessarily accurate. Google’s AI Search can often pick out some websites that may not be the most accurate or may present sanitized information from untrustworthy sites. That’s why the Gemini tools remind users to “double-check†all their answers underneath the text prompt.

Google Gemini's New 'Deep Research' Tool Is Great

Generative AI has come a long way over the past few months, and everyone wants a piece of the pie. Google had a rough start in the generative AI scene, but the newly-announced Gemini 2.0 family of models is changing that. Google has announced Gemini 2.0, its most advanced AI model yet, though the release is staggered for now. Building on the success of Gemini 1.0 and 1.5, this new model boasts enhanced multimodal capabilities, including native image and audio output. This allows for the creation of more sophisticated AI agents that can understand and interact with the world in a more human-like way. Gemini 2.0 Flash, the first model in the family, is available to developers and some Gemini Advanced users, with plans for broader rollout in the near future. According to Google, it outperforms its predecessor, Gemini 1.5 Pro, on key benchmarks while offering twice the speed. If you have Gemini Advanced, you might already have access to the new Gemini 2.0 Flash model. Once you fire it up, though, you'll see a big bold warning saying that it's in an "experimental" stage and that it might not work as expected. It might fumble some things at the moment -- I tried it out for a while, and it actually tends to give out overcomplicated answers to otherwise simple queries, but it's otherwise fine and works at okay speeds. I wouldn't trust it for any actually important tasks at the moment. It's experimental, after all, which means that it requires more training and usage before it's actually appropriate to be used by most people. We're not sure when this will actually get out of this "experimental" stage and actually supersede the Gemini 1.5 family of models, but we'll have to wait and see. We should also get a bigger Gemini 2.0 Pro model down the road as well, and like the Gemini 2.0 Flash model, it will probably release as an experimental model at first. One improvement that you can use right now, however, is a new "Deep Research" version of Gemini 1.5 Pro. This is similar to ChatGPT's new thought changes, where it will actually check its answers over and over for accuracy rather than just spitting out the very first thing that comes out of the model. Rather than just checking one output, however, Deep Research will go one step further and come up with a step-by-step plan of what it'll do and how it will help you research. Close It can find information on the web, analyze all that info, making calculations, and checking all that for accuracy to eventually culminate in a long-form informed report, using info from several sources (citing each source used), properly answering your query. You can even revise the research plan before Gemini spends several minutes researching and writing. Deep Research is pretty cool, but since it prioritizes research and accuracy over actually giving you a fast answer, it can take a long time. All three prompts I used took at least 5 minutes each to give me a proper answer, which you can either read in Gemini directly or export to Google Docs (in case you're going to use that for something like an essay). It can still make mistakes even if it's checking answers a thousand times over, so we can't stress this enough -- if you're going to use this, please double-check what it gives you, and don't just take the output on face value. Both the experimental version of Gemini 2.0 Flash and the Deep Research version of Gemini 1.5 Pro are now available for Gemini Advanced users. Source: Google (1, 2)

Google Gemini can now do more in-depth research | TechCrunch

Google is upgrading Gemini, its chatbot platform, with the ability to "reason" through a research problem and compile a comprehensive report. The updated Gemini offers a feature called "Deep Research" that Google says uses "advanced reasoning" and "long context capabilities" to generate research briefs. The briefs are presented in the Gemini apps and can be exported to Google Docs for additional editing. For now, Deep Research is exclusive to Gemini Advanced, a more sophisticated version of Gemini that's gated behind the Google One AI Premium Plan, priced at $20 a month. Google says that Deep Research can analyze information relevant to a query from across the web on a user's behalf, acting as a sort of research assistant. The results are organized into summaries within the brief and paired with links to the original source material. Deep Research is only available in English on desktop and the mobile web to start. Users can access it by selecting the "Gemini 1.5 Pro with Deep Research" option in the model's drop-down menu. Google says it'll come to the Gemini mobile apps in early 2025. "We've built a new agentic system that uses Google's expertise of finding relevant information on the web to direct Gemini's browsing and research," David Citron, product director for the Gemini apps, wrote in a blog post provided to TechCrunch. "Deep Research saves you hours of time." But the feature raises all sorts of thorny ethical questions. Setting aside the fact that all AI makes mistakes and hallucinates (anyone remember glue pizza?), technology like Deep Research could have serious consequences for education. In a recent op-ed in The New York Times, Jessica Grose wrote about how students are increasingly relying on generative AI to outsource brainstorming and writing. These students, she said, risk losing the ability to think critically and overcome their frustration with tasks that can't be completed easily. At least one study has linked heavy usage of ChatGPT among students to higher levels of procrastination, memory loss, and lower grade point averages. Deep Research also threatens to harm -- in the monetary sense, that is -- the publishers from which it sources its information. By scraping info from websites and compiling it into briefs, Deep Research could deprive these sites of valuable ad revenue. The impact of AI Overviews, the AI-generated summaries Google supplies for certain Google Search queries, on publishers may be indicative of what's to come, should Deep Research take off. According to one source, publishers have seen a 5% to 10% decrease in traffic from search since AI Overviews launched early this year. On the revenue side, an expert cited by The New York Post estimated that AI-generated overviews could lead to more than $2 billion in losses for publishers. Google often says it works closely with publisher partners, respects paywalls, and allows websites to block its AI scraping at the domain level. But outlets are often faced with a dilemma: Allow scraping or lose visibility in Google Search (at least for now). Google is claiming Deep Research could "connect users to relevant websites they might not have found otherwise so they can dive deeper to learn more." We'll have to see whether the feature delivers on that discoverability promise, or diverts views away from the broader web. Deep Research isn't the only new capability coming to Gemini. Starting today, both free and paying Gemini users will get access to Gemini 2.0 Flash, Google's newest flagship AI model. To be precise, it's an experimental version of 2.0 Flash optimized for chat -- the full version will arrive in January. Google says 2.0 Flash, which can be selected from the Gemini model drop-down on desktop and the mobile web (but not the mobile apps yet), should deliver better performance across a number of tasks -- and faster responses. Still, the company cautions some Gemini features "won't be compatible with [the] model in its experimental state." It didn't say which features, exactly.

I just saw the future of the web -- Google's new Gemini Deep Research AI agent is incredible

Google Gemini is getting an incredible new feature that will allow it to create mini clones of itself and send them off around the web to find information for you based on a prompt. It can then come back and create a complex, detailed report with links to the information it found. This new feature will be available to Gemini advanced subscribers as a new model dropdown called Gemini with deep research. In addition to the swarms of AI agents there's a new document feature launching alongside it similar to ChatGPT Canvas that will allow you to see and edit the report. This is the first foray into what is going to be an entirely new era of AI agents where we hand over control to artificial intelligence. This would allow it to efficiently perform a series of tasks on our behalf. Deep Research is independent of the rumored Google Jarvis agent supposed to be coming to Chrome next year. Aarush Selvan, Senior Product Manager on the Gemini team spoke to me ahead of the launch and said it is able to reason through the data it finds to create the report. "[It's] your hungry analyst, but it's not your graduate student PhD assistant," he explained. Potential use case examples for Gemini deep research include plans for home renovation projects, creating reports ahead of the purchase of a new vehicle or even something more complex such as analyzing alternative business propositions ahead of launching a new company. "So really, for those topics where... it's a really thorny research topic where you have to open lots and lots of tabs and sort of stitch together information or you don't even know where to get started... we wanted to build a feature that could really help you to get going," Selvan told Tom's Guide. "As [Gemini Deep Research] browses the web, it's going to reason over what it finds to figure out what it is going to look for next," essentially, he said, "It is a new way of exploring and learning with content." When it comes back with a report Gemini Deep Research will present it to you, broken out by headline and section -- complete with citations and references. You can link back to any source it gathered the information from and even ask a follow up question and have it refine the report. During the demo I was given of Deep Research it was able to gather specific information on post graduate grants. In a follow up it could scour the data it had already collected and add additional information, such as including the money available from each grant and present it in a table. Google Gemini Deep Research is a "system of 1.5 Pro models" rather than a new standalone model. When you give it a prompt the first Gemini 1.5 Pro ponders the request and develops a plan of action. It then creates versions of itself to go off and carry out that plan including absorbing the contents of potentially hundreds of websites and public sources. It won't work with a research paper or website behind a paywall or that requires a sign in to get access to, however you can give it your own data sources. This isn't a quick process. It can take several minutes to complete the search and provide the final report (which you can export to Docs). Over those few minutes Gemini refines its analysis, browses the web the way a human might by searching, finding interesting pieces then carrying out a fresh search based on what it learned. It can do this multiple times until it is sure it has enough information for a comprehensive report based on your prompt. "I would describe this as an agent," Selvan told me, adding that "Gemini 1.5 Pro is sending off versions of itself to go and perform these tasks." On its own Google Gemini Deep Research is already an impressive new feature. It is introducing the concept of agents to a mainstream chatbot, even if it's only available to those paying for a Google One account. When you add other features such as the reasoning capabilities being brought into Gemini 1.5 Pro and the document interface for the report -- we see hints of what Google is up to. Unlike OpenAI, which is making a big deal out of every new feature, Google is just quietly cooking in the background adding new elements to existing products that make things easier to use. I wouldn't be surprised if Deep Research is added into the already impressive Google Gemini Gems, which allow you to customize a version of Gemini on your own data. This would turn Gems into a powerhouse research tool and once NotebookLM podcasting features are added in, it will also become a creative powerhouse as well. The big deal here is the arrival of agents though. In 2025 we are going to see agents dominate the AI landscape coming from every AI company you can imagine and performing every task you can think of, including writing code, booking flights and browsing the web.