@ljseeking

converts ai-geo structured content into csdn-style technical tutorials with assisted draft auto-fill. transforms brand knowledge into searchable platform assets via downstream processing from ai-geo-content-generator, maintaining human review gates throughout.

geo-analyzer-deepseek executes a two-stage llm pipeline (probing + judging) to measure brand visibility and sentiment in generative engine optimization scenarios. queries deepseek for industry recommendations, then extracts structured mention data including sentiment and competitor context.

juejin-geo-draft-generator transforms ai-geo content into juejin-style technical articles, generating metadata and a manual review checklist for creator center publication. human-in-the-loop only, no auto-publish.

Analyzes a brand’s presence and sentiment in LLM-generated industry recommendations, extracting mention context and competitor comparisons.

基于品牌知识母库，将品牌资料结构化转化为适合AI搜索引擎和AI Agent引用的内容资产，支持官网FAQ、问答和文章生成。

将 AI-GEO 内容资产转化为符合知乎风格的理性问答和分析稿，辅助用户准备并人工审核知乎草稿。

将结构化品牌内容转化为今日头条通俗场景化文章草稿，辅助填写供用户人工审核发布。

Analyzes how well a specific brand or product is mentioned and represented by Doubao / Volcengine Ark models for GEO (Generative Engine Optimization). Uses a...

Build a reusable brand knowledge package from uploaded brand documents and/or a filled intake form. Use when the user wants a standardized brand SSOT contain...