The core function of THEO is to transform fragmented business information into a structured knowledge base that can be understood by AI. It automatically extracts key business information by intelligently analyzing an enterprise's website, documents and other data sources to form a systematic "business DNA". This transformation process involves three key steps:
- Extraction of information: Automatically capture official website content or parse uploaded documents for brand positioning, product features, and other elements
- logical reconstruction: Organize dispersed information points into knowledge networks that contain cause-and-effect relationships (e.g., product-customer matching logic)
- format adaptation: Generate standardized .txt files, compatible with the document parsing requirements of mainstream AI platforms
The final output of the knowledge base can significantly improve the accuracy of AI tools such as ChatGPT in understanding the specific needs of the enterprise, making the generated marketing programs, strategic recommendations and other content more relevant to the actual situation of the enterprise.
This answer comes from the articleTHEO: A core tool for transforming business information into an AI intelligent assistantThe
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