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Empowering Industrial Brands to Maximize Official Website Content with "Industrial Products AI Expert"
CAUTION
This article was translated from Chinese by an AI model and may contain inaccuracies. If you find issues, please refer to the original or suggest corrections.
Overview
"Industrial Products AI Expert": https://www.aibangxuanxing.com
The domain name "bangxuanxing" addresses the challenge of "product selection" in industrial procurement. The knowledge base has evolved to include product usage and brand services during iterations.
Version_2025-09-06 updated based on AI SDK V5.
Positioning: The model uses brand official websites as knowledge sources, breaks down user queries for retrieval, and provides evidence-based answers with knowledge sources.
- Brand website: Serves as an information hub where well-structured content can be infinitely disseminated
- Brand product pages: Act as information centers for individual products
- AI assistant: Connects information and answers questions

Relationship Chain Diagram
Q: Why have brands? Why do brands need official websites?
- Brand: Define positioning, conduct promotion, and differentiate in competition.
During data collection, it's evident that domestic brands pay less attention to this aspect, so the knowledge base primarily aggregates international brands.
- Official website: Open-source database.
Since model training data partly comes from crawlable websites, publishing well-structured product data serves as free promotion.
- Brand: Define positioning, conduct promotion, and differentiate in competition.
Q: Why use brand websites as information centers?
- Core philosophy: Shorten information transmission chains.
For product-related queries, product manuals should be the primary data source for retrieval, while most content platforms contain manually processed promotional material.
- Core philosophy: Shorten information transmission chains.
Use Cases
Prompt explanation: Users should focus on vocabulary in their questions, as the model decomposes statements to query the knowledge base, requiring complete question formulation.
Common prompts: Brand names, product types, technical terminology.
Industrial product-related queries: Understanding technical terms, product features, product selection, etc.
Model responses include resource collections: product documentation, video tutorials, official website search results. Response content links can be set to Public for sharing.

Q&A Example Document interpretation: Supports analysis of local files, online documents, or website content, with the model retrieving relevant knowledge base information.

Document Interpretation Q&A portal collection: The website aggregates dialogue interfaces from major providers for easy response comparison using identical questions.

Dialogue Portal Collection Video demonstration: "Industrial Products AI Expert" Q&A comparison with Wenxin Yiyan & Tongyi Qianwen.
Open Source Projects
- Dify Chatbot
Industrial Products AI Expert is built on ai-chatbot and Dify. The official AI-SDK version on Vercel doesn't support Dify.
Dify AI-SDK Dify Chatbot, developed by integrating both advantages, fully supports Dify's dialogue and document interpretation features.

Dify Chatbot