RRepoGEO

REPOGEO REPORT · LITE

hncboy/ai-beehive

Default branch main · commit 649e7528 · scanned 5/10/2026, 6:42:28 PM

GitHub: 2,221 stars · 633 forks

AI VISIBILITY SCORE
27 /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
1 / 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 README H1 and introductory paragraph to clearly define the project

    Why:

    CURRENT
    # ai-beehive
# 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
- 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.
    COPY-PASTE FIX
    # ai-beehive: Java Spring Boot Backend for Multi-AI Model Chat & Image Generation Platform

AI 蜂巢是一个基于 Java Spring Boot 3 和 JDK 17 的后端项目，旨在提供一个集成多个人工智能模型（如 ChatGPT、OpenAI Image、Midjourney、NewBing、文心一言等）的聊天和图像生成平台。它支持用户认证、权限管理和可扩展的AI服务集成。
  • highreadme#2
    Prominently display the 'Maintenance Stopped' status

    Why:

    CURRENT
    ### 已停止维护
    COPY-PASTE FIX
    > [!WARNING]
> **已停止维护 (Maintenance Stopped)**
> 此项目已停止积极维护。请在用于生产环境前仔细评估其当前状态和潜在风险。
> This project is no longer actively maintained. Please carefully evaluate its current state and potential risks before using it in production.
  • mediumtopics#3
    Expand and refine repository topics

    Why:

    CURRENT
    chatgpt, chatgpt-java, java, midjourney
    COPY-PASTE FIX
    java, spring-boot, chatgpt, midjourney, openai, ai-platform, multi-ai-model, ai-backend, image-generation, newbing, wenxinyiyan, ai-orchestration

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 WebClient
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring WebClient · recommended 2×
  2. PostgreSQL · recommended 2×
  3. Spring Boot · recommended 1×
  4. Spring AI · recommended 1×
  5. Quarkus · recommended 1×
  • CATEGORY QUERY
    How to build a Java backend for multi-AI model chat and image generation?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring AI
    3. Quarkus
    4. Micronaut
    5. Vert.x
    6. Javalin
    7. OpenAI Java Client Library
    8. Hugging Face Inference API
    9. OkHttp
    10. Apache HttpClient
    11. Spring WebClient
    12. Google Cloud AI Platform / Vertex AI Java Client Libraries
    13. AWS SDK for Java (v2)
    14. PostgreSQL
    15. MongoDB
    16. Redis
    17. Apache Kafka
    18. RabbitMQ

    AI recommended 18 alternatives but never named hncboy/ai-beehive. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java Spring Boot solution for AI chat platform with user authentication and extensibility.
    you: not recommended
    AI recommended (in order):
    1. Spring Security
    2. JWT
    3. Keycloak
    4. Spring WebSockets
    5. STOMP
    6. Spring Data JPA
    7. PostgreSQL
    8. OpenAI API
    9. Spring WebClient
    10. Spring Cloud Config
    11. Lombok

    AI recommended 11 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 did not name hncboy/ai-beehive — 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 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 did not name hncboy/ai-beehive — 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?

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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