RRepoGEO

REPOGEO REPORT · LITE

laigeoffer/pmhub

Default branch master · commit 66101a73 · scanned 6/11/2026, 12:42:35 PM

GitHub: 565 stars · 187 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface laigeoffer/pmhub, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Emphasize LLM and career-prep aspects in README intro

    Why:

    CURRENT
    PmHub 是一套基于 SpringCloud & LLM 的微服务智能项目管理系统，这个项目旨在帮助小伙伴们快速掌握微服务/分布式项目的架构设计和开发流程，如果想在校招或者社招中拿到一个满意的 offer，PmHub 将是一个非常 nice 的选择。
    COPY-PASTE FIX
    PmHub 是一个基于 SpringCloud & LLM 的智能项目管理系统，专为希望快速掌握微服务/分布式架构设计与开发流程，并在校招或社招中获得满意Offer的开发者设计。它不仅是一个实用的项目管理工具，更是一个帮助你提升职业竞争力的实战平台。
  • hightopics#2
    Add LLM, AI, and career-focused topics

    Why:

    CURRENT
    docker-compose, java, mybatis-plus, mysql, nacos, redis, rocketmq, spring, spring-boot, spring-cloud, spring-cloud-alibaba, spring-cloud-gateway, vue
    COPY-PASTE FIX
    docker-compose, java, mybatis-plus, mysql, nacos, redis, rocketmq, spring, spring-boot, spring-cloud, spring-cloud-alibaba, spring-cloud-gateway, vue, llm, artificial-intelligence, project-management, microservices-learning, career-development, interview-preparation
  • mediumreadme#3
    Briefly describe LLM's role in making PmHub 'intelligent'

    Why:

    COPY-PASTE FIX
    在项目管理方面，PmHub 深度整合了LLM能力，提供智能任务分配、进度预测、风险识别及自动化报告生成等高级功能，显著提升项目管理效率和决策质量。(Add this sentence to the '项目简介' section after the list of technologies.)

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface laigeoffer/pmhub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Jira Software
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Jira Software · recommended 1×
  2. Atlassian Intelligence · recommended 1×
  3. spring-cloud/spring-cloud · recommended 1×
  4. Azure DevOps · recommended 1×
  5. Azure AI services · recommended 1×
  • CATEGORY QUERY
    Seeking an intelligent project management system leveraging Spring Cloud microservices and AI features.
    you: not recommended
    AI recommended (in order):
    1. Jira Software
    2. Atlassian Intelligence
    3. Spring Cloud (spring-cloud/spring-cloud)
    4. Azure DevOps
    5. Azure AI services
    6. Azure Machine Learning
    7. Azure Cognitive Services
    8. Azure OpenAI Service
    9. Monday.com
    10. ClickUp
    11. Spring AI (spring-projects/spring-ai)
    12. TensorFlow (tensorflow/tensorflow)
    13. PyTorch (pytorch/pytorch)
    14. AWS SageMaker
    15. Google Cloud AI Platform
    16. Asana

    AI recommended 16 alternatives but never named laigeoffer/pmhub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good examples for learning distributed system architecture with Spring Boot and Docker deployment?
    you: not recommended
    AI recommended (in order):
    1. Spring Cloud Samples
    2. Microservices with Spring Boot and Spring Cloud
    3. Building Microservices with Spring Boot
    4. Baeldung

    AI recommended 4 alternatives but never named laigeoffer/pmhub. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of laigeoffer/pmhub?
    pass
    AI did not name laigeoffer/pmhub — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts laigeoffer/pmhub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named laigeoffer/pmhub explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo laigeoffer/pmhub solve, and who is the primary audience?
    pass
    AI named laigeoffer/pmhub explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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laigeoffer/pmhub — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite