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alibaba/havenask
默认分支 main · commit 26bf4c15 · 扫描时间 2026/5/20 22:22:12
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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 alibaba/havenask 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
1 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。
- mediumreadme#1Strengthen README introduction with explicit category keywords
原因:
当前As a search engine developed by Alibaba Group, Havenask is a large-scale distributed information search system widely used within Alibaba Group. It provides the search services for business across the Alibaba Group such as Taobao, Tmall, Cainiao, Amap, Ele.me, and global services. It offers high-performance and easy-to-use search services with low costs. Havenask also provides flexible customization and development capabilities. Its algorithms can be fast iterated. This way, Havenask enables you to develop intelligent search service tailored for your business and empower business growth.
复制粘贴的修复Havenask is a high-performance, distributed search engine and information retrieval system, developed by Alibaba Group for large-scale real-time indexing and querying of billions of records. Widely used across Alibaba's core services like Taobao and Tmall, it provides scalable, low-cost search capabilities for e-commerce and other demanding applications, offering flexible customization and rapid algorithm iteration.
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。
- elastic/elasticsearch · 被推荐 2 次
- opensearch-project/OpenSearch · 被推荐 2 次
- elastic/kibana · 被推荐 1 次
- elastic/logstash · 被推荐 1 次
- apache/solr · 被推荐 1 次
- 品类问题What are the best distributed search engines for real-time indexing billions of records?你:未被推荐AI 推荐顺序:
- Elasticsearch (elastic/elasticsearch)
- Kibana (elastic/kibana)
- Logstash (elastic/logstash)
- Apache Solr (apache/solr)
- OpenSearch (opensearch-project/OpenSearch)
- Apache Druid (apache/druid)
- ClickHouse (ClickHouse/ClickHouse)
AI 推荐了 7 个替代方案,却始终没点名 alibaba/havenask。这就是要补上的差距。
查看 AI 完整回答
- 品类问题How to build a custom, high-performance search service for e-commerce or large applications?你:未被推荐AI 推荐顺序:
- Elasticsearch (elastic/elasticsearch)
- Apache Solr
- OpenSearch (opensearch-project/OpenSearch)
- Meilisearch (meilisearch/meilisearch)
- Algolia
- Typesense (typesense/typesense)
AI 推荐了 6 个替代方案,却始终没点名 alibaba/havenask。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 alibaba/havenask?passAI 明确点名了 alibaba/havenask
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 alibaba/havenask in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 alibaba/havenask
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 alibaba/havenask solve, and who is the primary audience?passAI 明确点名了 alibaba/havenask
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 alibaba/havenask 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/alibaba/havenask)<a href="https://repogeo.com/zh/r/alibaba/havenask"><img src="https://repogeo.com/badge/alibaba/havenask.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
alibaba/havenask — 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