RRepoGEO

REPOGEO REPORT · LITE

hncboy/ai-beehive

Default branch main · commit 649e7528 · scanned 6/20/2026, 6:02:11 PM

GitHub: 2,215 stars · 630 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
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 hncboy/ai-beehive, 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
    Reposition the project's core purpose in the README

    Why:

    CURRENT
    # ai-beehive
### 已停止维护
# 介绍
- chatgpt-web-java 2.0 版本，更名为 ai-beehive...
    COPY-PASTE FIX
    # ai-beehive
AI 蜂巢，基于 Java 使用 Spring Boot 3 和 JDK 17，支持的功能有 ChatGPT、OpenAi Image、Midjourney、NewBing、文心一言等等

### 已停止维护
# 介绍
- chatgpt-web-java 2.0 版本，更名为 ai-beehive（爱蜂巢、AI 蜂巢），体验站：https://front.aibeehive.icu
- chatgpt-web-java 1.0 最终版分支地址，体验地址：https://front3.stargpt.top/#/
- 前端开发：https://github.com/mjjh1717
- 前端项目地址：https://github.com/mjjh1717/chatgpt-shuowen
- 描述：ai-beehive 项目的名字取自蜂巢，这源于我们构建房间的方式，即通过图纸塑造出独特的模块化房间，每个房间都是一个具有个性的聊天室，类似于蜂巢中的单独蜂窝。六边形的蜂窝设计启示我们，系统具有无限的扩展能力。在我们的 ai-beehive项目中，我们提供了一种方式，即通过添加新的图纸来扩展和丰富房间类型.
  • mediumtopics#2
    Expand repository topics to include more specific AI and platform keywords

    Why:

    CURRENT
    chatgpt, chatgpt-java, java, midjourney
    COPY-PASTE FIX
    java, spring-boot, llm, multi-llm, ai-backend, chatbot, image-generation, chatgpt, midjourney, newbing, wenxinyiyan
  • lowreadme#3
    Emphasize the project's modular and extensible architecture in the introduction

    Why:

    CURRENT
    ...在我们的 ai-beehive项目中，我们提供了一种方式，即通过添加新的图纸来扩展和丰富房间类型.
    COPY-PASTE FIX
    ...在我们的 ai-beehive项目中，我们提供了一种方式，即通过添加新的图纸来扩展和丰富房间类型。
作为一个模块化、可扩展的AI后端平台，ai-beehive旨在简化多AI模型集成与管理。

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 hncboy/ai-beehive
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring Boot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring Boot · recommended 1×
  2. Quarkus · recommended 1×
  3. Micronaut · recommended 1×
  4. Vert.x · recommended 1×
  5. Javalin · recommended 1×
  • CATEGORY QUERY
    How to build a Java backend for integrating multiple large language models and image generation APIs?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Quarkus
    3. Micronaut
    4. Vert.x
    5. Javalin
    6. Spring WebClient
    7. OkHttp
    8. Apache HttpClient
    9. Spring Cloud Config
    10. Resilience4j

    AI recommended 10 alternatives but never named hncboy/ai-beehive. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Spring Boot boilerplate for AI chatbot applications with user authentication and modular design.
    you: not recommended
    AI recommended (in order):
    1. Spring AI (spring-projects/spring-ai)
    2. Spring Security (spring-projects/spring-security)
    3. Spring Cloud (spring-cloud/spring-cloud)
    4. Spring Cloud Config (spring-cloud/spring-cloud-config)
    5. Eureka (Netflix/eureka)
    6. Gateway (spring-cloud/spring-cloud-gateway)
    7. JHipster (jhipster/jhipster)
    8. Keycloak (keycloak/keycloak)
    9. LangChain4j (langchain4j/langchain4j)
    10. Vaadin (vaadin/vaadin)
    11. Quarkus (quarkusio/quarkus)
    12. SmallRye JWT (smallrye/smallrye-jwt)

    AI recommended 12 alternatives but never named hncboy/ai-beehive. 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 hncboy/ai-beehive?
    pass
    AI named hncboy/ai-beehive explicitly

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

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

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

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hncboy/ai-beehive — 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