“I hear that Gemini’s research function is amazing, but I don’t really understand what it can do…”
“I want to make information gathering and report creation more efficient, but I don’t know how…”
Some of you may feel this way.
If you can master this revolutionary function, your research work may change dramatically.
Now is the time to experience the latest AI technology.
This article is aimed at those who want to improve the quality of their information gathering and research by leveraging the latest AI technology.
– Overview of Gemini’s amazing research feature, “DeepResearch”
– Specific use cases in daily life and business settings
– Key points and precautions when using it
The above topics are explained in an easy-to-understand manner.
Even without specialized knowledge, reading this article will help you understand the power and potential of Gemini.
Your information gathering will become faster and more thorough.
Please read through to the end and use it as a reference.
What is Gemini’s DeepResearch?
Gemini’s DeepResearch is an innovative feature designed to conduct in-depth and comprehensive research on complex topics.
It is a next-generation research tool that can instantly handle information gathering and analysis tasks that previously took hours to complete, all powered by AI.
By utilizing this feature, the quality and speed of information gathering have significantly improved.
This is because DeepResearch does more than just search for information; it analyzes and summarizes data from multiple reliable sources using AI.
You will be freed from the tedious task of reading through specialized papers and voluminous reports one by one.
It feels like having your own excellent research assistant who can organize complex information into clear, understandable insights.
For example, suppose you want to research the future prospects of Japan’s electric vehicle (EV) market.
Simply input this question into DeepResearch, and it will comprehensively analyze data from the Ministry of Economy, Trade and Industry, survey reports from automotive-related organizations, and business strategies from major manufacturers.
Based on this analysis, you can instantly obtain structured outputs organized into categories such as “market size projections,” “challenges in charging infrastructure,” and “trends among major manufacturers.”
The Importance of Preparation
The quality of research using Google’s AI model “Gemini” is largely determined at the preparation stage. This is because simply asking a question off the cuff may only yield superficial answers. First, it is essential to clearly articulate the purpose of the research in concrete terms, such as “Analysis of the 2024 Trends in the Domestic Market for a Specific Technology.” Next, listing at least five specialized terms or keywords related to the theme will significantly improve the accuracy of instructions to Gemini. Additionally, specifying references to domestic academic databases such as J-STAGE or CiNii can be an effective approach to enhance the reliability of information. Only through such meticulous preparation can high-quality research that generates new insights through dialogue with AI be realized.
Search Process Flow
Traditionally, information gathering involved entering keywords into a search bar and manually sifting through the vast array of links to find the optimal answer. This required navigating multiple sites and integrating fragmented information. However, Google’s advanced AI model, Gemini, is revolutionizing this research process. With Gemini-powered search, users can now ask longer, more complex questions or pose multi-modal queries that include images. AI instantly analyzes and integrates information across the web, generating summarized answers on a single screen, enabling users to significantly reduce the time spent on information gathering. The “AI Overviews” feature announced at Google I/O 2024 is a prime example of this. This marks an evolution from mere information search to deeper knowledge exploration through interaction with AI.
Inference and its applications
The inference capabilities of Gemini, developed by Google DeepMind, go beyond the realm of simple information processing. For example, “AlphaCode 2,” which achieved a score in the top 15% of human performers in a programming contest, is a prime example of Gemini Pro’s advanced logical thinking abilities. This capability is expected to act as a catalyst for new scientific discoveries in the research field by identifying correlations that humans might overlook in vast amounts of academic papers and experimental data. In the business world, it can integrate and analyze multiple pieces of information, such as market trends, competitor movements, and financial statements from the past five years, to derive data-driven business strategies. Furthermore, its capabilities extend to solving everyday problems, such as comparing and evaluating information from multiple review sites and reservation sites to create travel plans tailored to individual preferences. From specialized analysis to everyday decision-making, Gemini’s reasoning serves as a powerful thinking support tool.
Reporting Methods and Key Points
When creating research reports using Gemini, it is essential to ensure the accuracy of the information and to effectively convey the key points. First, organize the purpose of the report and use the PREP method, which involves stating the conclusion first. For example, you could begin with a specific figure such as, “According to Gemini’s analysis, the domestic e-commerce market is projected to grow by 12% year-over-year in the 2025 fiscal year.” Next, clearly state the prompts used to instruct Gemini and the data sources referenced. This enhances the objectivity of the report and significantly improves its reliability. Rather than simply listing generated text, it is important to visually summarize the report by incorporating graphs and tables created using features like Gemini Advanced, along with your own analysis. Finally, conduct a fact-check by human review to complete a high-quality research report.
Specific uses of DeepResearch
DeepResearch is a feature with the potential to fundamentally transform your research work.
It is not just a tool for searching information, but a thinking partner that can delve deeply into complex themes and automatically generate structured reports.
The time previously spent on information gathering can now be allocated to more essential analysis and creative tasks.
This is because DeepResearch differs from traditional search methods that merely collect fragmented information.
It cross-analyzes reliable multiple sources and synthesizes them into a coherent, logically connected perspective.
By freeing you from the tedious tasks of selecting and organizing information, you can focus on truly important analysis.
For example, suppose you are researching “Trends in the domestic EV market and strategic analysis of major manufacturers toward 2025” for business purposes.
DeepResearch integrates market size forecast data, company press releases, expert analysis articles, and more to instantly generate a comprehensive report.
In this way, DeepResearch satisfies your intellectual curiosity and guides you toward the next action, whether it’s specialized research or everyday learning.
Applications in Competitive Analysis
Google’s AI, Gemini, dramatically improves the efficiency and accuracy of competitive analysis research. For example, it can instantly read through vast amounts of publicly available information, such as competitors’ websites, social media posts, and press releases from the past year, and summarize the marketing strategies and product development directions of those companies. In some cases, information gathering and organization that previously took several days can now be completed in just a few minutes. Furthermore, based on the collected data, Gemini can provide deep insights such as “What is the target customer segment for Company A’s new product?” By leveraging Gemini’s multimodal capabilities, qualitative analysis that was previously difficult with traditional research methods—such as analyzing competitors’ advertising videos and verbalizing creative trends—can now be achieved. This allows analysts to allocate more time to developing advanced strategies.
Utilization in due diligence
Gemini dramatically streamlines research tasks in due diligence, which is essential for M&A and investment decisions. Gemini can instantly review thousands of pages of contracts and financial statements that previously took experts weeks to review. For example, it can extract descriptions related to specific accounting standards from the 2023 fiscal year financial statements or automatically list potential risks such as change-of-control clauses contained in contracts.
Furthermore, its advanced analytical capabilities can also be leveraged for external information gathering. By analyzing vast amounts of news articles and industry reports on the internet, it can generate reports that objectively evaluate a target company’s reputation and technological advantages in the market. This frees humans from the task of reading through vast amounts of material, allowing them to focus on more advanced strategic decision-making. This approach, which balances speed and accuracy in research, could be a key factor in the success or failure of M&A deals.
How to deepen your understanding of a topic
Using Gemini for research can greatly deepen your understanding of a specific topic. First, you can start by entering multiple keywords related to the field you want to research to grasp the basic overview and historical background. Next, by requesting summaries of English papers found on Google Scholar or specialized databases, you can significantly reduce the time required to understand the content. In particular, Gemini Advanced also supports direct PDF import. Going a step further, by asking questions about major points of contention or unresolved issues related to the topic, you can organize points that are not apparent from superficial knowledge alone. By generating opinions from different perspectives, you can also train yourself to view things from multiple angles. In this way, it is essential to use Gemini interactively, not just as an information search tool, but as a partner for organizing and deepening your thinking.
Effective methods for product comparisons
When conducting product comparisons, using Google’s AI “Gemini” can significantly improve research efficiency. For example, try entering a specific prompt such as, “Compare the Sony WF-1000XM5 and Bose QuietComfort Ultra Earbuds in terms of sound quality, noise-canceling performance, and comfort, and list the pros and cons of each.” This eliminates the need to manually check numerous review sites one by one. To further enhance accuracy, adding a detailed persona such as “a 30-something office worker commuting to Tokyo for two hours daily” can yield more practical suggestions. Presenting multiple review article URLs and analyzing commonalities and differences in evaluations is also an effective approach. However, since AI-generated information may contain errors, fact-checking final specifications and prices on official websites is essential.
The Evolution and Development Background of Gemini
The evolution of Gemini has not only improved its performance but has also been driven by the larger goal of making the collaboration between humans and AI more natural and intuitive.
While AI may seem complex, its development is rooted in the desire to enrich our lives and work.
The reason for this is that traditional AI was too specialized for specific tasks.
Functions such as text generation, image recognition, and speech understanding were developed separately, making it difficult to integrate multiple pieces of information and think flexibly like humans do.
Therefore, Google aimed to realize “multimodal AI” that can handle text, images, and speech simultaneously, like the human brain.
Specifically, Google DeepMind, one of the world’s leading research institutions, is leading the development.
Gemini was designed from scratch as a multimodal AI based on the insights gained from previous models like the conversational AI “Bard.”
This rigorous research and development (Research) is the foundation that supports Gemini’s remarkable performance.
The role of agent systems
Agent systems in Gemini-based research play a crucial role as proactive agents acting on behalf of users. This means not only answering questions but also independently planning and utilizing necessary tools to achieve objectives. For example, this capability involves executing tasks across multiple applications—from flight searches to hotel reservations—in response to vague instructions like “planning a weekend trip.” Google DeepMind’s research has demonstrated Gemini 1.5 Pro’s ability to perform complex tasks such as web browsing and coding. The “Project Astra” announced in May 2024 can be considered a prototype of the next-generation AI assistant applying this technology. In this way, agents serve as partners that extend human intellectual work and enable more advanced problem-solving.
New Challenges and Solutions
Even with Google’s cutting-edge AI, Gemini, challenges remain, such as hallucinations that generate information not based on facts and limitations in complex reasoning. To address this issue, Google’s Research team is developing a promising solution called RAG. This approach enhances accuracy by enabling AI to reference external, reliable information in real time when providing answers. The latest model, Gemini 1.5 Pro, has seen a dramatic improvement in this capability, enabling it to instantly extract knowledge from a vast amount of information, up to 1 million tokens. This evolution has significantly improved the accuracy of tasks that were previously difficult, such as summarizing lengthy research papers and analyzing source code.
Advantages of multi-step planning
The multi-step planning feature in Gemini is an advanced capability that breaks down complex problems into smaller steps to guide them toward a solution. One of the major advantages of this approach is that it significantly improves the accuracy of problem-solving. For example, in long-term scientific research, each stage—from hypothesis setting to data analysis and conclusion derivation—can be optimized individually, thereby increasing the reliability of the final output. It also has the adaptability to flexibly adjust course when unexpected situations arise during plan execution. Research published by Google DeepMind demonstrated how subsequent plans can be reconstructed in response to changes in information along the way. This capability streamlines complex research and development that can take weeks to complete, contributing significantly to reductions in time and human resource costs.
Realizing long-term inference
Gemini 1.5 Pro has taken AI inference capabilities to a new level. At its core is an astonishingly long context window of up to 1 million tokens, which far exceeds the information processing capacity of conventional high-performance models. For example, it can read 1 hour of video data, over 30,000 lines of code, or more than 700,000 words of text information at once, and perform advanced analysis based on an understanding of the whole picture. In Google’s research, it analyzed a 44-minute silent film by Buster Keaton and, when asked about a specific scene, accurately answered with a timestamp. This significant performance improvement is achieved through the Mixture-of-Experts (MoE) architecture, which efficiently activates only the necessary experts (part of the neural network), enabling unprecedented levels of long-term inference by identifying relevance within vast amounts of information.
Evolution of Context Management
One of the major advances in Gemini’s research and development is the dramatic evolution of its context management capabilities. In particular, Gemini 1.5 Pro boasts performance that far exceeds the conventional wisdom of AI models. This model can process an astonishing context window of 128K tokens as standard, and up to 1 million tokens in the research stage. One million tokens equate to an enormous volume of information, equivalent to approximately 1,500 pages of text, over an hour of video, or more than 30,000 lines of code. With the ability to comprehend such extensive context at once, the model can now handle advanced tasks such as analyzing complex documents in their entirety or answering questions related to lengthy videos. This innovative capability is made possible by the adoption of the “Mixture-of-Experts (MoE)” architecture, which improves computational efficiency and is expected to dramatically expand the scope of AI applications.
How to use Gemini in your personal life
Gemini is not only a powerful assistant for work, but also for enriching your personal life.
From everyday research to exploring hobbies and planning trips, its advanced information processing capabilities will be useful in any situation.
This is because Gemini can instantly provide accurate answers to your questions from the vast amount of information scattered across the internet.
There is no longer a need to compare multiple websites and organize information, allowing you to spend more time immersing yourself in your hobbies and interests, which is a significant advantage.
For example, when planning a weekend trip, simply asking, “Where can I find a hot spring inn within a two-hour drive from Tokyo that offers in-room dining and beautiful views?” will prompt Gemini to suggest suitable options along with their reasons.
Specifically, if you’re looking to start a new hobby like photography, instructing Gemini to “compare the top three mirrorless cameras for beginners, highlighting their features and price ranges” will result in a clear comparison chart based on information from specialized review sites.
Streamlining daily research
By utilizing Gemini, you can dramatically reduce the time spent on daily research. For example, if you input, “Please propose a 3-night, 4-day travel plan for a family of four (including two elementary school students) in Hokkaido in July with a budget of 200,000 yen,” you can obtain a specific itinerary plan without the hassle of browsing multiple travel sites. While traditional keyword searches only provide fragmented information, Gemini allows you to add conditions in a conversational format and delve deeper into the content. It can also handle complex instructions such as, “Compare the performance of three cordless vacuum cleaners from domestic manufacturers released in 2024 and summarize them in a table format.” This often allows pre-purchase research to be completed in just a few minutes. In this way, Gemini goes beyond being a simple search tool and functions as your personal research assistant.
Deepening personal interests
Gemini is a powerful research tool for deepening personal intellectual curiosity. For example, if you are interested in Oda Nobunaga from the Warring States period, instead of simply researching his life, try asking a more specialized question such as, “What specific impact did Nobunaga’s Rakuichi Rakuza have on the economy of Sakai in the latter half of the 16th century?” Gemini will extract relevant data from a vast array of sources and provide you with a multifaceted perspective. This may lead to new discoveries that you might not have noticed on your own. Its power also shines in creative activities. For example, if you want to know the atmosphere of Tokyo in the 1980s for historical research in a novel, you can ask Gemini to “tell me about the fashion and culture of young people at that time,” and it will instantly list specific information such as fashion and music. What used to require time-consuming research at libraries or multiple websites can now be efficiently conducted through dialogue.
Frequently Asked Questions About Gemini Research
Many people have questions about Gemini’s Research feature, such as its usage fees, data security, and differences from other AI tools.
Given how convenient this feature is, there are several points you’ll want to clarify before using it seriously for business or research.
Given that such a high-performance AI tool is provided for free, it’s understandable to wonder if there’s a catch or to be concerned about how confidential business information is handled.
Given the high expectations for new technology, it’s natural for concerns about its use to arise.
For example, we often receive the question, “Is it really free?” The basic functions are indeed free to use.
However, if you use it extensively via the API, a pay-as-you-go pricing model applies, so caution is needed.
In terms of security, it complies with Google’s privacy policy, and it is explicitly stated that the input content will not be used for retraining without permission.
By understanding the differences from other tools and keeping these points in mind, you can use Gemini’s capabilities with greater peace of mind.
What are the features of the latest Gemini model?
Google’s latest AI model, “Gemini 1.5,” is characterized by its significantly improved efficiency and performance. Particularly noteworthy is its ability to process a context window of up to 1 million tokens. This means it can analyze a one-hour video, over 30,000 lines of code, or approximately 700,000 words of text at once, elevating AI understanding to a new level. This breakthrough was achieved through the Mixture-of-Experts (MoE) architecture. By efficiently utilizing only the parts with the necessary expertise, “Gemini 1.5 Pro” can deliver performance comparable to the previous top-tier model “1.0 Ultra” with fewer computational resources. Its multi-modal long-form understanding capabilities hold the potential to enable tasks that were previously difficult, such as analyzing complex codebases or summarizing long-form videos.
The Future of Gemini as an AI Assistant
Google’s AI “Gemini” is expected to revolutionize our lives as the next-generation AI assistant. At its core is the dramatic evolution of multimodal performance that integrates text, images, and audio. For example, by asking for real-time information while viewing the cityscape through a smartphone camera, AR technology could overlay store information, enabling a more intuitive experience. Additionally, integration with services like Gmail and Google Calendar will deepen further, enabling Gemini to anticipate users’ actions. A future where Gemini automatically schedules flights based on email reservations and suggests the optimal route to the airport considering real-time traffic conditions is not far off. In the future, Gemini is expected to be integrated into various devices, including Pixel smartphones, Google Nest, and cars equipped with Android Auto. The cutting-edge research being conducted by Google Research is the driving force behind transforming Gemini into the ultimate personal assistant.
Summary: Revolutionize information gathering with Gemini DeepResearch
This article is aimed at those interested in Gemini’s new “DeepResearch” feature, and covers the following topics:
– Overview and basic usage of Gemini DeepResearch
– Specific use cases in business and education
– Points to note when using the feature and future prospects
We have provided an explanation of the above.
Gemini DeepResearch is a truly groundbreaking tool that dramatically improves the efficiency of information gathering.
Its key feature is the ability to instantly generate in-depth answers based on reliable sources from the vast amount of information available on the web.
However, some may feel unsure about how to use this new technology.
We recommend starting by trying it out on familiar topics using the methods introduced in this article.
By actually using it, you will be able to experience its convenience and high accuracy firsthand.
As the saying goes, “seeing is believing.”
The time you have spent on research up to this point will not be wasted.
Rather, it is precisely because of that experience that you can properly assess the value of the information this tool generates and utilize it more deeply.
Your previous efforts will serve as a foundation for mastering this new technology.
By mastering this powerful tool, you will be freed from the task of information gathering.
And you will be able to devote more time to more creative and essential tasks, such as how to utilize the insights you have gained.
Your work and learning will advance to a new stage.
Why not try asking Gemini DeepResearch about the topic that interests you right now?
Its remarkable capabilities will strongly support your curiosity.
The author sincerely hopes that you will make this new technology your ally and achieve great results.