AI Researcher
Free
AI Researcher is an AI-driven business research tool that provides automatic collection of multi-source information, structured competitive product analysis, analytical viewpoint extraction and automatic report writing capabilities, and supports analysis frameworks such as SWOT/PEST/Porter's Five Forces.
AIResearcher
Core parameters and statistics
| Project | Specifications |
|---|---|
| Product Name | AI Researcher |
| Category | AI Business Research |
| Delivery form | Web/SaaS |
| Support Platform | Web |
| Supported languages | Chinese, English |
| Target users | Product managers, market researchers, entrepreneurs, analysts |
| User scale | Undisclosed |
| Pricing Model | Freemium (Free + Pro + Enterprise) |
AI Researcher is oriented to commercial research scenarios, and its core solution is to solve the real problem of "information collection and sorting takes up more than 60% of the time of research work". The product positions AI capabilities in the most time-consuming but structured link in the research chain - information collection, organization and first draft framework construction, allowing researchers to focus on analysis, judgment and insight refining.
User and market recognition
Gradually build user awareness in the field, and product capabilities are used by content creators and teams to improve work efficiency. Some industry users have incorporated it into their daily workflow. It is recommended to refer to the latest official disclosures for specific user scale and industry adoption rate data.
Cost advantage
| Cost Dimension | Description |
|---|---|
| Free version | Basic information collection and preliminary analysis, suitable for individuals to verify product value |
| Professional version | Monthly/year subscription, full report generation + all analysis frameworks + unlimited times |
| Enterprise Edition | Customized analysis framework + API access + team collaboration + dedicated support |
Compared with traditional manual research (3-5 days for a single report), AI Researcher compresses information collection and first draft writing to 30-60 minutes, significantly improving efficiency. It is recommended to complete 2-3 research topics through the free version to verify the effect before evaluating the paid plan.
Main functions
- Automated multi-source information collection: After entering the research topic, the system automatically collects data from multiple public information sources, sorts them by relevance, and categorizes them to eliminate duplication. Users can set information source preferences and time ranges to accurately locate the information they need.
- Structured Competitive Product Analysis: Automatically identify the main players in the target field and generate a competitive product comparison matrix from dimensions such as product functions, market positioning, financing status, and user evaluations.
- Analytical point of view extraction: Automatically extract core points of view, key data and conflicting arguments from a large amount of text to help users quickly form analytical judgments.
- Automatic report writing: Based on the analysis framework selected by the user (SWOT, PEST, Porter's Five Forces, 3C, etc.), AI automatically fills the organized information into the corresponding module and generates a complete draft of the research report.
- Multi-format export: Supports exporting to Markdown, PDF, Word and other formats, which is convenient for direct use in internal reporting or customer delivery.
Model and version evolution
| Version | Date | Key Changes |
|---|---|---|
| v1.0 public beta version | 2026-07 | Added competitive product analysis, automatic report writing, and multiple analysis framework support |
| v0.9 early version | — | Focus on information collection and basic organization functions |
The early version focused on information collection, and the current version adds competitive product analysis, automatic report writing, and support for multiple analysis frameworks.
Technical advantages
- Multi-source information aggregation engine: Obtain information from multiple sources such as news websites, industry report databases, social media, academic abstracts, etc., and use NLP to classify articles into topic groups and score relevance. Duplicate content is automatically removed, and conflicting information is independently marked for users to make their own decisions.
- Framework-driven structured analysis: In the information collection stage, the information is pre-classified according to the selected analysis methodology (SWOT four quadrants, PEST four dimensions, etc.), and semi-finished products organized according to the analysis framework are output.
- Opinion extraction and key information identification: Identify assertion statements, data statements and concluding statements from a large amount of text, and aggregate them by theme after extraction. Conflicting views are summarized separately to help users identify points of disagreement in information.
- Report Template Engine: Templates covering various research types such as industry analysis, competitive product research, market access assessment, trend forecasting, etc. Each template contains standard chapter structure and recommended writing angles.
How to use
| Entrance | How to use |
|---|---|
| Web side | Visit the official website with a browser → Register → Select function → Get results |
Typical usage process: Register an account → Enter the research topic → Set the research scope (information source preference, time range, geographical restrictions) → Select the analysis framework (SWOT / PEST / Porter’s Five Forces / 3C, etc.) → Start automatic research → View the opinion refinement → Generate report → Edit and export.
Product Pricing
| Package | Price | Contents |
|---|---|---|
| Free version | $0 | Basic information collection + limited number of preliminary analyzes |
| Professional version | Unpublished | Full report generation + all analysis frameworks + unlimited times |
| Enterprise Edition | Unpublished | Customized analysis framework + API access + Team collaboration + Dedicated support |
Pricing.
Application scenarios
- Product Manager Competitive Product Research: Enter "Competitive Product Analysis of XX Product", and the system automatically collects information such as function updates, user reviews, pricing changes, etc. of the target product. The traditional 2-3 days of information collection work is shortened to 1-2 hours.
- Market analysis report writing: AI is responsible for information collection and the construction of the first draft framework. On this basis, analysts supplement first-hand research data and in-depth judgment, improving efficiency by about 50-70%.
- Entrepreneurship Market Verification: Quickly understand the competitive landscape, user needs and industry pain points of the target market to assist in decision-making on the direction of entrepreneurship.
- Investment Industry Scan: Complete an industry panoramic scan within 30 minutes and generate a summary report including market size, competitive landscape, financing dynamics and key trends.
Applicable people
- Product Manager: Requires frequent competitive product analysis and market research. It is expected to save 3-5 hours of information processing time per week.
- Market researchers and consultants: From "writing reports" to "reviewing reports + making judgments", the efficiency increases by about 50-70% (deduction).
- Entrepreneurs and Business Analysts: Quickly understand new fields within a limited time and assist in preliminary market scanning.
- Unsuitable Boundary: In-depth research that requires primary data (user surveys, internal data, paid databases), internal research reports involving confidential information, and professional consulting projects that require a highly customized analysis framework.
Comparison of competing products
| Comparison Dimensions | AI Researcher | Perplexity | NotebookLM |
|---|---|---|---|
| Core differences | Structured analysis framework driver | AI search + traceability | AI analysis based on user documents |
| Price | Freemium | Freemium | Free |
| Coverage scenarios | Research report writing | Information retrieval | Document analysis |
| User reviews | Unpublished | Widely used | Endorsed by Google |
| Technical threshold | Low (for web use) | Low | Low |
Summary and Outlook
AI Researcher positions AI capabilities in the most time-consuming but also most structured link in the business research chain - information collection, organization and first draft framework construction. Its core value lies in the division of labor model of "AI processes information and humans process judgment."
CURRENT LIMITATION: AI-generated draft reports may contain outdated information sources, inaccurate data, or one-sided opinions. The information source of AI Researcher is public data. For in-depth research that requires first-hand data support, AI can only complete the collation of public information.
Procurement/Adoption Risk Assessment: It is recommended that the AI output be used as a first draft and reference, not for direct use in customer delivery or investment decisions. For consulting projects that require in-depth analysis and professional judgment, AI assistance is an efficiency tool, not a replacement. It is suitable to use the free version to experience it first and confirm the matching before making an investment decision.
Related tools: crewai, langchain
Version Info
- Public beta version ：The public beta version adds competitive product analysis, automatic report writing, and support for multiple analysis frameworks.
- earlier version ：Focus on information collection and basic organization functions.
User Reviews