The Enterprise Material Library is used to centrally store authentic enterprise materials such as company introductions, products and services, technical documents, customer cases, industry knowledge, FAQs, and after-sales instructions. It supports uploading files in formats like TXT, Markdown, CSV, JSON, PDF, and DOCX. The system will automatically parse, organize, and build searchable knowledge content in the background, strictly isolating data by tenant, site, and language. Once materials are parsed and bound to a site, they can be used for AI website building, column planning, article and FAQ generation, SEO content growth, GEO analysis, and intelligent customer Q&A. When the original files change, they can be updated directly; the system will retain the original site bindings and re-p

The background processing progress is used to centrally view all operations the system is executing in the background, including AI content generation, enterprise material parsing, column and page duplication, multilingual translation, internal link matching, body text repair, scheduled publishing, SEO and GEO tasks, etc. Users can filter by site, task type, task source, and execution status, clearly distinguishing between pending, queued, executing, completed, and failed tasks. For each task, users can view execution logs, specific failure reasons, model responsibilities, processing results, and token consumption; eligible temporarily failed tasks can also be resubmitted or retried in batches. After submitting a task, users can leave the current page, and the system will continue processi

SEO Content Growth helps enterprises continuously discover website issues, plan content that customers will actually search for, and establish reasonable internal linking structures. The menu includes three main sections: SEO Diagnosis, Content Topic Selection, and Internal Link Library. SEO Diagnosis checks page titles, descriptions, languages, links, and basic search specifications, providing fixes for clearly safe issues. Content Topic Selection can automatically find suitable articles or FAQs to write based on products, services, customer questions, and enterprise materials, and automatically suggest columns and reference materials. The Internal Link Library manages the mapping rules between keywords and target pages, allowing new and old content to naturally interlink. Confirmed topic

AI Search Exposure targets GEO and AI search scenarios, helping enterprises understand whether their company, brand, products, or services are mentioned in the responses of mainstream AI platforms, and what content the current website still lacks to help AI understand and cite. The system can combine enterprise materials, website content, SEO diagnosis, and real sampling results to analyze AI mention rate, top-ranking rate, brand voice, platform coverage, and citation sources, forming actionable growth recommendations for the next round. The menu also provides promotion channels, media library, promotional draft generation, and publishing record management, allowing officially published articles or FAQs to be organized into promotional content suitable for different channels.