RRepoGEO

REPOGEO REPORT · LITE

HuLaSpark/HuLa-Server

Default branch master · commit c53b6c38 · scanned 6/13/2026, 2:42:08 AM

GitHub: 864 stars · 298 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 HuLaSpark/HuLa-Server, 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
    Add a clear, concise English project description at the top of the README

    Why:

    CURRENT
    The current README starts with several empty `p` and `div` tags, followed by a centered Chinese description: `<p align="center">一款基于SpringCloud、SpringBoot3、Netty、MyBatis-Plus和RocketMQ构建的即时通讯系统服务端</p>`
    COPY-PASTE FIX
    HuLa-Server is a high-performance instant messaging system backend built on SpringCloud, SpringBoot3, Netty, MyBatis-Plus, and RocketMQ. It features a microservice architecture, providing real-time communication capabilities for single chat, group chat, and message push, suitable for various instant messaging scenarios.
  • mediumtopics#2
    Add specific instant messaging and real-time communication topics

    Why:

    CURRENT
    java, mybatis-plus, netty, rocketmq, springai, springcloudalibaba
    COPY-PASTE FIX
    java, mybatis-plus, netty, rocketmq, springai, springcloudalibaba, instant-messaging, real-time-chat, chat-application, microservices, spring-boot
  • mediumhomepage#3
    Add the repository's GitHub URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/HuLaSpark/HuLa-Server

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 HuLaSpark/HuLa-Server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring WebFlux
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring WebFlux · recommended 2×
  2. Project Reactor · recommended 2×
  3. Spring Security · recommended 2×
  4. Apache Kafka · recommended 1×
  5. Confluent Kafka · recommended 1×
  • CATEGORY QUERY
    How to build a scalable instant messaging service using Java and Spring Boot?
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka
    2. Confluent Kafka
    3. WebSockets
    4. Spring WebFlux
    5. Project Reactor
    6. Spring WebSocket
    7. STOMP
    8. Redis
    9. PostgreSQL
    10. HikariCP
    11. Spring Security
    12. OAuth 2.0
    13. JWT
    14. Spring Data JPA
    15. Hibernate
    16. Netflix Eureka
    17. HashiCorp Consul

    AI recommended 17 alternatives but never named HuLaSpark/HuLa-Server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust Java microservices for high-performance real-time chat applications?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring WebFlux
    3. Project Reactor
    4. Spring Data
    5. Spring Security
    6. Quarkus
    7. Micronaut
    8. Vert.x
    9. Akka HTTP
    10. Akka Actors
    11. Akka

    AI recommended 11 alternatives but never named HuLaSpark/HuLa-Server. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 HuLaSpark/HuLa-Server?
    pass
    AI named HuLaSpark/HuLa-Server explicitly

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

  • If a team adopts HuLaSpark/HuLa-Server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HuLaSpark/HuLa-Server 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 HuLaSpark/HuLa-Server solve, and who is the primary audience?
    pass
    AI named HuLaSpark/HuLa-Server explicitly

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

Embed your GEO score

Drop this badge into the README of HuLaSpark/HuLa-Server. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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HuLaSpark/HuLa-Server — 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