AI Search
Free
AI Search is suitable for individuals and teams to quickly verify and implement.
AISearch
Core parameters and statistics
| Project | Specifications |
|---|---|
| Product Name | AI Search |
| Category | ai-agents |
| Delivery form | Web/SaaS |
| Search mode | Semantic search, knowledge integration, in-depth research mode |
| Supported languages | Chinese, English |
| Target users | Individual users, researchers, technology developers |
| User scale | Undisclosed (public beta stage) |
| Pricing Model | Freemium (Free Edition + Premium Subscription) |
| Information source coverage | Web pages, academic papers, news, social media |
AI Search is an AI search engine that integrates large language models and traditional search technology. Unlike traditional search engines that return a list of links, AI Search uses semantic understanding of the user's natural language query intent, extracts relevant content from multiple information sources, and integrates it into a structured direct answer with a source link.
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 semantic search + limited depth pattern times |
| Professional version | — (subject to the official website) |
| Enterprise Edition | The Enterprise Edition supports privatized deployment and customized search indexing |
Compared with Perplexity Pro ($20/month), the free version of AI Search already covers basic semantic search needs. For daily information queries, the search quota of the free version is enough to cover most usage scenarios.
Main functions
- Semantic understanding search: Users describe query intentions in natural language, and the system returns direct answers instead of linked lists after understanding the semantics, supporting follow-up questions and conversational searches. Applicable tasks: Quick information acquisition → Usage value: No need to manually filter links.
- Knowledge Integrated Answers: Extract relevant content from multiple information sources, automatically remove duplication and synthesis to generate structured answers, with source links attached to key fact points. Applicable tasks: Information synthesis → Usage value: Multi-source integration + traceability.
- In-Depth Research Mode: For complex issues, gradually focus through multiple rounds of adaptive search - first conduct a broad search to establish a framework, then conduct an in-depth search for fuzzy points, and finally generate a comprehensive research report. Applicable tasks: complex research → Usage value: systematic in-depth information mining.
- Personalized search experience: Optimize the sorting of results based on search history and behavior patterns, and learn user preferred source types and information granularity. Applicable tasks: Efficiency optimization → Usage value: Search results increase with the number of uses.
Model and version evolution
| Version | Date | Key Changes |
|---|---|---|
| Latest version v1.0 | 2026-07-14 | In-depth research mode, personalized sorting |
| Previous version v0.9 | ~2026-07 | Basic semantic search function |
The version record shall be subject to the official release notes.
Technical advantages
- Semantic Understanding Engine: Query understanding capabilities based on large language models, able to handle complex, fuzzy or multi-intent search requests. There are limitations in accuracy when dealing with highly time-sensitive information and ultra-complex problems. It is recommended to cross-validate key information.
- Multi-source information integration: Parallel retrieval from multiple information sources, automatically identifying and removing duplicate content, and integrating complementary information into coherent answers. Information sources cover web pages, academic papers, news and social media, but the depth of coverage of non-English and minority language content is limited.
- In-Depth Research Mode: Gradually focus through multiple rounds of adaptive search. The search results of each round are used to modify and supplement the query strategy of the next round, and finally generate a comprehensive research report. Deep mode outperforms single-round semantic search in accuracy and recall.
- Information source tracing: Each answer comes with a clear source link and citation mark. Users can click to jump to the original text for verification. The traceability mechanism is an important guarantee for reducing AI illusions.
How to use
| Entrance | How to use |
|---|---|
| Web official website | Enter natural language questions directly into the search box to get answers |
Typical usage process: Visit the official website → Enter a natural language question → The system returns a structured answer with information sources → Conduct conversational in-depth search through questioning → Switch to in-depth mode to generate a comprehensive report.
Product Pricing
| Package | Price | Contents |
|---|---|---|
| Free version | $0 | Basic semantic search, limited depth pattern count |
| PRO | — | Unlimited depth research mode + advanced features |
| Enterprise Edition | — | Customized search index + private deployment |
Pricing. There are different pricing in different regions.
Application scenarios
- Daily Knowledge Query: Obtain direct answers in a natural conversational manner, suitable for deterministic knowledge queries. Verification method: Click on the source link to verify the key fact points.
- Academic and Professional Research: In-depth research mode is suitable for literature research, theoretical understanding and cross-field knowledge exploration. Verification method: Compare the consistency of AI-generated research reports with authoritative reviews.
- Shopping Product Comparison: Obtain multi-dimensional comprehensive comparison information - multi-dimensional comparisons such as functions, prices, reputation, etc. Verification method: Make a second confirmation of key parameters and price information.
- Technical Question Answers: Use natural language to describe technical questions and get precise answers with code examples and documentation references. Verification method: Do actual running tests on the generated code.
Applicable people
- Ordinary users: The efficiency of daily information query is improved, from turning pages to browse links to directly obtaining answers.
- Researcher: In-depth exploration of complex research problems to help quickly establish a knowledge framework in unfamiliar fields.
- Technical User: Accurate answers to technical questions and support code-related queries.
- Unfit Boundary: When processing highly time-sensitive news and real-time data queries, the coverage is limited to the information sources that search engines can crawl. The depth of coverage of non-English and minority language content is limited.
Comparison of competing products
| Comparative Dimensions | AI Search | Perplexity AI | Secret Tower Search |
|---|---|---|---|
| Core differences | In-depth research mode + personalized sorting | Real-time networking + academic search | Chinese optimization + structured display |
| Price | Freemium | $20/month (Pro) | Free/Paid |
| Depth mode | Multiple rounds of adaptive search | Focused search | Research mode |
| Personalized sorting | Support | Limited | Limited |
| Technical threshold | Low | Low | Low |
Summary and Outlook
AI Search redefines the search experience with semantic understanding and knowledge integration. Its core value is to transform information discovery from "manual screening" to "AI integration", greatly reducing the cognitive burden of information acquisition. Follow-up directions include multi-modal search and privatized deployment solutions for enterprises.
Risk Disclosure: AI search engines have limitations in accuracy when processing highly time-sensitive information and ultra-complex problems. It is recommended to conduct cross-validation on key information. The current version has limited depth of coverage of non-English and minority language content. It is recommended that users use AI Search as an auxiliary tool for daily information acquisition. In scenarios involving important decisions, cross-verification of key information is still required. The model has a knowledge deadline, and information beyond the timeliness of the training data may not be accurately covered.
Related tools: crewai, langchain
Version Info
- Public beta version ：It is currently a publicly accessible version, and specific functions will be updated at a specific pace.
- earlier version ：An early trial version, the core direction is consistent with the current version.
User Reviews