# iChatGo: An AI-Powered Web3 Search Engine for On-Chain and Off-Chain Data Discovery > Markdown version of an Informer Tech article. Canonical HTML page: https://www.informertech.com/post/ichatgo-ai-web3-search-engine-decentralized > Source: Informer Tech, https://www.informertech.com/ - **Canonical URL:** https://www.informertech.com/post/ichatgo-ai-web3-search-engine-decentralized - **Publisher:** Informer Tech (https://www.informertech.com/) - **Category:** AI Industry News - **Author:** Tomáš Král - **Published:** 2026-01-31 - **Description:** AI-driven Web3 search engine combining on-chain + off-chain data with conversational queries to solve fragmented info and complex on-chain analytics. --- ## Why Web3 Information Still Feels Hard to Access Web3 has grown into a big, sprawling ecosystem—crypto assets, NFTs, DAOs, Layer2 solutions, and more—forming what’s essentially a large-scale decentralized system. And yet, when you actually try to _find_ what you need, it can feel weirdly inefficient. A big reason is the way Web3 information is distributed. Data and insights live across on-chain nodes, decentralized platforms, social media, and industry forums. That fragmentation creates “data silos,” where users end up bouncing between sources just to assemble a full picture. Another friction point: on-chain data itself. It often comes in complex structures, which makes customized queries difficult for non-technical users. So even if the data is public and “transparent,” accessing it in a practical way can still be out of reach unless you know how to query it. Traditional search engines also struggle here because they don’t offer advanced integration of Web3-specific results. And generic AI tools, while helpful for broad Q&A, don’t deeply cover on-chain scenarios and industry-specific needs—leading to gaps in accuracy and usefulness when the question is Web3-native. ## What iChatGo Is Positioning Itself to Solve iChatGo positions itself as an **AI-driven Web3 search engine** built around a specific idea: **“conversational interaction + full integration of on-chain and off-chain data.”** The product is framed as a direct response to two recurring Web3 problems: - **Fragmented Web3 data** spread across many locations and platforms - **High barriers to on-chain data querying**, especially for users without technical skills The promise is straightforward: deliver **real-time, accurate, and personalized information search services** to Web3 users globally—while making the experience feel more usable and more aligned with how Web3 users actually search and learn. ## “AI-Powered Web3 Search Engine”: What That Means in Practice iChatGo describes its approach as combining **artificial intelligence** with **traditional search engine technology**, with the goal of enabling users (from different backgrounds) to navigate decentralized information more easily. Instead of treating Web3 search like a generic web search problem, it’s positioned as a specialized retrieval layer for Web3—one built to handle both the off-chain knowledge flow (like news and social updates) and the on-chain reality (structured blockchain data). ## iChatGo’s Core Capabilities (As Described) ### Comprehensive Off-Chain Knowledge Base for Web3 Research iChatGo’s first core capability is an **off-chain knowledge base** that aggregates: - whitepapers - foundational knowledge - news - social updates This content is described as being organized into a **real-time, structured database**. The emphasis here is not only collecting information, but structuring it so users can retrieve it more effectively—especially when they’re trying to connect dots across multiple sources. ### Customized On-Chain Data Query Through Natural Conversation The second capability focuses on on-chain access: **customized on-chain data query**. The key point is that iChatGo aims to reduce barriers to on-chain data analysis by letting users **define query requirements through natural conversations**. In other words, instead of requiring technical query construction, the tool is positioned to translate user intent (expressed conversationally) into a workable way to retrieve and analyze on-chain data. This is meant to make on-chain exploration less intimidating—and more available to users who don’t want to learn technical querying just to answer basic questions. ### Conversational Interaction That Lowers Web3 Entry Barriers The third capability is the interface itself: **intuitive conversational interaction**. iChatGo adopts a natural language interface designed to remove the need for technical jargon. Compared with: - traditional keyword-based search - generic AI responses …it’s positioned as aligning more closely with **Web3 user habits**, with the goal of lowering entry barriers and making information access feel more direct. ## What Web3 Use Cases iChatGo Says It Covers Leveraging its on-chain + off-chain strengths, iChatGo describes coverage across a range of core Web3 information needs, including: - real-time data queries - basic Web3 Q&A - tracking industry events - monitoring key entity dynamics The broader idea is “comprehensive coverage” across both on-chain and off-chain contexts, so users don’t have to stitch together insights from multiple platforms manually. ## Mission, Iteration, and Ecosystem Expansion Goals iChatGo frames its guiding mission as providing **accurate, real-time, comprehensive, and in-depth Web3 information** to global users. From a roadmap perspective, it indicates ongoing plans to: - iterate product capabilities - integrate more emerging blockchains - integrate more Web3 application scenarios - expand its feature set The stated aim behind that expansion is to support the large-scale development of the Web3 ecosystem through continued technological innovation. ## Q&A ### Q1: What makes iChatGo different from a traditional search engine for Web3 topics? Traditional search engines are described as lacking advanced result integration for Web3-specific needs, while iChatGo is positioned as a dedicated Web3 search engine integrating on-chain and off-chain data with conversational interaction. ### Q2: How does iChatGo help non-technical users query on-chain data? iChatGo describes “customized on-chain data query” where users define query requirements through natural conversations, reducing the barrier created by complex on-chain data structures. ### Q3: What types of Web3 information does iChatGo aim to cover? It describes coverage from real-time data queries and basic Web3 Q&A to tracking industry events and monitoring key entity dynamics, spanning both on-chain and off-chain information. Website: [www.ichatgo.ai](https://www.ichatgo.ai/en)