REPOGEO 报告 · LITE
giancarloerra/SocratiCode
默认分支 main · commit b2f368bb · 扫描时间 2026/6/18 00:36:42
星标 3,002 · Fork 389
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
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 giancarloerra/SocratiCode 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
3 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 SocratiCode's core function as an enterprise codebase intelligence platform in the README's opening.
原因:
当前Your AI reads code. SocratiCode understands it.The open-source codebase context engine: give any AI instant automated knowledge of your entire codebase (and infrastructure) — at scale, zero configuration, fully private, completely free.
复制粘贴的修复SocratiCode is an open-source, enterprise-grade codebase intelligence platform that gives any AI instant, automated knowledge of your entire codebase (and infrastructure) — at scale, zero configuration, fully private, and completely free. It provides polyglot dependency graphs, symbol-level impact analysis, and semantic search for large codebases (40m+ LOC).
- hightopics#2Add specific topics related to enterprise code analysis and intelligence platforms.
原因:
当前ai, ai-assistant, ast, claude, claude-code, code-graph, codebase-intelligence, context-engine, docker, embeddings, gemini, gemini-cli-extension, mcp, openai, qdrant, semantic, semantic-search, vector-database, vector-embeddings, vector-search
复制粘贴的修复ai, ai-assistant, ast, claude, claude-code, code-graph, codebase-intelligence, context-engine, docker, embeddings, gemini, gemini-cli-extension, mcp, openai, qdrant, semantic, semantic-search, vector-database, vector-embeddings, vector-search, code-analysis, static-analysis, dependency-analysis, impact-analysis, enterprise-software, software-intelligence
- mediumabout#3Rephrase the 'About' description to emphasize 'codebase intelligence platform' and its core capabilities.
原因:
当前Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
复制粘贴的修复SocratiCode is an enterprise-grade (40m+ LOC) codebase intelligence platform, offering zero-setup, local & private hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, and DB/API/infra knowledge. It's a Plugin/Skill/Extension or MCP, delivering 61% less tokens, 84% fewer calls, and is 37x faster. Cloud in beta.
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。
- Lattix · 被推荐 1 次
- Cast Highlight · 被推荐 1 次
- Understand (by SciTools) · 被推荐 1 次
- SonarQube · 被推荐 1 次
- CodeLogic · 被推荐 1 次
- 品类问题How can I analyze large enterprise codebases for dependencies and impact across projects?你:未被推荐AI 推荐顺序:
- Lattix
- Cast Highlight
- Understand (by SciTools)
- SonarQube
- CodeLogic
- NDepend
AI 推荐了 6 个替代方案,却始终没点名 giancarloerra/SocratiCode。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What local and private AI tools offer semantic search for code intelligence?你:未被推荐AI 推荐顺序:
- Continue.dev (continue-dev/continue)
- Ollama (ollama/ollama)
- LM Studio
- Code Llama
- Sentence Transformers (UKPLab/sentence-transformers)
- PrivateGPT (imartinez/privateGPT)
- LlamaIndex (run-llama/llama_index)
- Hugging Face Transformers (huggingface/transformers)
- ChromaDB (chroma-core/chroma)
AI 推荐了 9 个替代方案,却始终没点名 giancarloerra/SocratiCode。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 completenesspass
- 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 giancarloerra/SocratiCode?passAI 明确点名了 giancarloerra/SocratiCode
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 giancarloerra/SocratiCode in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 giancarloerra/SocratiCode
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 giancarloerra/SocratiCode solve, and who is the primary audience?passAI 明确点名了 giancarloerra/SocratiCode
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 giancarloerra/SocratiCode 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/giancarloerra/SocratiCode)<a href="https://repogeo.com/zh/r/giancarloerra/SocratiCode"><img src="https://repogeo.com/badge/giancarloerra/SocratiCode.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
giancarloerra/SocratiCode — 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