REPOGEO 报告 · LITE
btahir/open-deep-research
默认分支 main · commit 3da9abdb · 扫描时间 2026/5/13 07:37:48
星标 2,136 · Fork 198
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 btahir/open-deep-research 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#1Reposition the README's opening to clearly state its category and unique value
原因:
当前A powerful open-source research assistant that generates comprehensive AI-powered reports from web search results. Unlike other Deep Research solutions, it provides seamless integration with multiple AI platforms including Google, OpenAI, Anthropic, DeepSeek, and even local models - giving you the freedom to choose the perfect AI model for your specific research requirements.
复制粘贴的修复Open Deep Research is a powerful, open-source **AI research assistant** that generates comprehensive, customizable reports from web search results. It stands out by offering seamless integration with multiple AI platforms (Google, OpenAI, Anthropic, DeepSeek, local models) and providing a full, ready-to-use application, unlike many frameworks or commercial-only solutions.
- hightopics#2Add relevant topics to improve categorization
原因:
复制粘贴的修复ai-research-assistant, report-generation, web-scraping, llm, open-source, generative-ai, multi-llm, research-tool
- mediumreadme#3Add a clarifying sentence about 'Deep Research' in the README
原因:
复制粘贴的修复Note: 'Deep Research' in this context refers to generating comprehensive, in-depth reports from web content, not to the field of deep learning.
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。
- deepset-ai/haystack · 被推荐 1 次
- run-llama/llama_index · 被推荐 1 次
- langchain-ai/langchain · 被推荐 1 次
- scrapy/scrapy · 被推荐 1 次
- crummy/BeautifulSoup · 被推荐 1 次
- 品类问题Seeking an open-source tool to generate detailed AI-powered research reports from web content.你:未被推荐AI 推荐顺序:
- Haystack (deepset-ai/haystack)
- LlamaIndex (run-llama/llama_index)
- LangChain (langchain-ai/langchain)
- Scrapy (scrapy/scrapy)
- BeautifulSoup (crummy/BeautifulSoup)
AI 推荐了 5 个替代方案,却始终没点名 btahir/open-deep-research。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Which AI research assistant can synthesize web results using different large language models?你:未被推荐AI 推荐顺序:
- Perplexity AI
- Elicit
- Consensus
- ChatGPT
- Web Pilot
- Link Reader
- Claude
- You.com
- YouChat
- Bard
AI 推荐了 10 个替代方案,却始终没点名 btahir/open-deep-research。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 btahir/open-deep-research?passAI 未点名 btahir/open-deep-research —— 很可能在说另一个项目
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 btahir/open-deep-research in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 btahir/open-deep-research
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 btahir/open-deep-research solve, and who is the primary audience?passAI 明确点名了 btahir/open-deep-research
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 btahir/open-deep-research 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/btahir/open-deep-research)<a href="https://repogeo.com/zh/r/btahir/open-deep-research"><img src="https://repogeo.com/badge/btahir/open-deep-research.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
btahir/open-deep-research — 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