RRepoGEO

REPOGEO REPORT · LITE

TastSong/CrazyCar

Default branch master · commit 1b08bcfb · scanned 5/10/2026, 9:12:15 PM

GitHub: 1,812 stars · 364 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 TastSong/CrazyCar, 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 README's main title to specify 'Unity Online Racing Game Solution'

    Why:

    CURRENT
    <h2 align="center">网络联机游戏解决方案</h2>
    COPY-PASTE FIX
    <h2 align="center">Unity联机赛车游戏解决方案</h2>
  • mediumreadme#2
    Clarify the project's role as a complete, integrated solution in the introduction

    Why:

    CURRENT
    **Crazy Car**是一款联机赛车游戏，她的整体架构为：QFramework & Addressable & HybridCLR(游戏端) + Spring Boot & Mybatis(服务端) + KCP / WebSocket (网络) + Vue & Element(后台)，借助于此架构，开发者只要稍作修改就可完成一款定制化的网络联机游戏。
    COPY-PASTE FIX
    **Crazy Car**是一款完整的Unity联机赛车游戏解决方案，其集成的架构包括：QFramework & Addressable & HybridCLR(游戏端) + Spring Boot & Mybatis(服务端) + KCP / WebSocket (网络) + Vue & Element(后台)。开发者可基于此架构快速定制并完成自己的网络联机游戏。
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/TastSong/CrazyCar

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 TastSong/CrazyCar
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity Addressables System
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity Addressables System · recommended 2×
  2. Netcode for GameObjects · recommended 1×
  3. Mirror · recommended 1×
  4. Photon PUN 2 · recommended 1×
  5. DarkRift2 · recommended 1×
  • CATEGORY QUERY
    How to build a Unity online multiplayer game with Spring Boot backend and hot updates?
    you: not recommended
    AI recommended (in order):
    1. Netcode for GameObjects
    2. Mirror
    3. Photon PUN 2
    4. DarkRift2
    5. Spring Boot with WebSockets (Spring-Websocket)
    6. Spring Boot with RSocket
    7. Spring Boot with gRPC (via gRPC-Java)
    8. Unity Addressables System
    9. Unity AssetBundles
    10. Rsync
    11. Mono.Cecil

    AI recommended 11 alternatives but never named TastSong/CrazyCar. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Unity hotfix and resource update solutions for live mobile games?
    you: not recommended
    AI recommended (in order):
    1. HybridCLR
    2. Unity Addressables System
    3. ILRuntime
    4. xLua
    5. Puerts
    6. Custom AssetBundle System

    AI recommended 6 alternatives but never named TastSong/CrazyCar. 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 TastSong/CrazyCar?
    pass
    AI named TastSong/CrazyCar explicitly

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

  • If a team adopts TastSong/CrazyCar in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TastSong/CrazyCar 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 TastSong/CrazyCar solve, and who is the primary audience?
    pass
    AI named TastSong/CrazyCar 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 TastSong/CrazyCar. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/TastSong/CrazyCar.svg)](https://repogeo.com/en/r/TastSong/CrazyCar)
HTML
<a href="https://repogeo.com/en/r/TastSong/CrazyCar"><img src="https://repogeo.com/badge/TastSong/CrazyCar.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TastSong/CrazyCar — 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