REPOGEO 报告 · LITE
khromov/ai-digest
默认分支 main · commit 3d5ac29c · 扫描时间 2026/6/15 08:28:21
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 khromov/ai-digest 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Clarify README's opening sentence to emphasize codebase aggregation for LLMs
原因:
当前# ai-digest A CLI tool to aggregate your codebase into a single Markdown file for use with Claude Projects or custom ChatGPTs.
复制粘贴的修复# ai-digest A CLI tool specifically designed to aggregate your entire codebase into a single, AI-ready Markdown file, optimized for use with Claude Projects, custom ChatGPTs, and other large language models for comprehensive code analysis.
- mediumreadme#2Add a 'What problem does ai-digest solve?' section to counter AI misinterpretations
原因:
复制粘贴的修复## What problem does ai-digest solve? Many AI assistants and large language models (LLMs) struggle to process an entire codebase effectively, especially when spread across many files. `ai-digest` solves this by consolidating your project's source code into a single, well-structured Markdown file. This makes it easy to upload your complete codebase to tools like Claude Projects or custom ChatGPTs, enabling comprehensive code analysis, refactoring, and debugging assistance without context window limitations or file upload hassles. This tool is *not* for summarizing AI news or articles; it's purely focused on preparing your *codebase* for AI.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- GitHub · 被推荐 1 次
- GitLab · 被推荐 1 次
- Bitbucket · 被推荐 1 次
- Google Drive · 被推荐 1 次
- Dropbox · 被推荐 1 次
- 品类问题How to prepare my entire project's source code for an AI assistant?你:未被推荐AI 推荐顺序:
- GitHub
- GitLab
- Bitbucket
- Google Drive
- Dropbox
- OneDrive
- GitHub Gist
- Pastebin
AI 推荐了 8 个替代方案,却始终没点名 khromov/ai-digest。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What's a good way to consolidate code into a single document for large language models?你:未被推荐AI 推荐顺序:
- ast
- recast
- babel
- JavaParser
- tree-sitter
- python-tree-sitter
- node-tree-sitter
- cat
- find
- grep
- CodeMirror
- Monaco Editor
- Sourcery
- Pygments
- Black
- Prettier
- ESLint
AI 推荐了 17 个替代方案,却始终没点名 khromov/ai-digest。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of khromov/ai-digest?passAI 明确点名了 khromov/ai-digest
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts khromov/ai-digest in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 khromov/ai-digest
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo khromov/ai-digest solve, and who is the primary audience?passAI 明确点名了 khromov/ai-digest
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 khromov/ai-digest 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/khromov/ai-digest)<a href="https://repogeo.com/zh/r/khromov/ai-digest"><img src="https://repogeo.com/badge/khromov/ai-digest.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
khromov/ai-digest — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3