Meet The AI Agent - Market Research Agent - your fellow strategist
Explore the transformative power of AI Market Research Agent in the use case for online research.
Explore the transformative power of AI Market Research Agent in the use case for online research.
This Agent utilises the capabilities of public LLM models like GPT-3.5-turbo and GPT-4-turbo to deliver comprehensive, high-quality research, with cost-efficiency.
Ideal for professionals and businesses. Dive into the future of intelligent research and revolutionise your approach to factual based decision process.
- Comprehensive Automated Research: AI Market Research Agent automates the process of conducting comprehensive online research on any given topic, significantly enhancing research efficiency and accuracy
- Advanced AI Technology: Utilises cutting-edge AI models like GPT-3.5-turbo and GPT-4-turbo, and others if required, ensuring high-quality, relevant, and context-aware research outputs based on factual information.
- Cost-Effective Solution: Offers a cost-efficient alternative to traditional research methods by minimising the time and resources required for extensive research tasks. It is very useful during market analysis, product launch or strategy planning sessions.
- Versatile Applications: Suitable for a wide range of users including academics, professionals, and businesses needing in-depth research and analysis.
Introduction
I'm very happy to announce to you to the AI Market Researcher Agent project—an innovative tool designed to transform the way you will make your educated decisions. Powered by the latest advancements in artificial intelligence, Researcher automates the process of gathering deep, comprehensive insights across a broad spectrum of topics. The information is gathered with accuracy and speed of information retrieval are key to staying ahead.
This Agent not only accelerates the research process but also enhances the quality of the outputs, ensuring that you receive the most relevant and precise information.
Do not forget to check more of our AI Agents in the team of Behaviocrew.com.
Ready to see how? Let’s get started.
Project assumptions
Our primary goal is straightforward: to help businesses in making more educated decisions based on actual and factual information leveraging latest artificial intelligence models. Traditional research methods often involve tedious, manual searches through a variety of of data, which can be both time-consuming and prone to human error.
Our Market Researcher seeks to address these limitations by automating the data collection process and reducing the workload on human researchers and at the same time improving the accuracy of the information gathered. It is worth to mention that no matter the topic our agent is searching on pages in all relevant local languages and produces report in English. The number of languages that Agent is able to read and process is 100+.
Data is gathered at unprecedented speeds, ensuring that the insights we gain are not only relevant but also incredibly precise. This is definitely more than just efficiency; it's about enhancing the depth and quality of research outcomes. For every typical task the Agent is reviewing in details from 40 to 60 pages. Every time. Let's dive deeper into how this changes the game for everyone involved in research
How Agent works?
Simple answer I can give you is from good questions to factual reports. The transition from raw data to a comprehensive and detailed report is where Market Researcher truly excels. After collecting the data, it synthesises the information into a coherent and structured format of PDF. This report not only answers the initial questions but also provides insights and conclusions, effectively summarising the research findings in a user-friendly format.
The sources for the report are crossing way beyond Google search. In our database we have all the sources that contain academic papers, we use all major search engine providers like Bing, DuckDuckGo, Searx, Serper, news sources, blogging platforms and more. All this sources are used simultaneously in every single research. All pages are assessed for relevance, and top 40-60 pages are then used to formulate the final report.
For every search we can freely set the LLM ranging from public models like OpenAI, Azure, Google through Groq to local LLM models. Every time we run the search agent learns the data and every next search the data collected in RAG memory is used to improve next reports even more.
Sounds interesting? See the reports yourself!
Enjoy reading!
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