RRepoGEO

REPOGEO REPORT · LITE

zts212653/cat-cafe-tutorials

Default branch main · commit 8e146eef · scanned 6/17/2026, 6:22:56 AM

GitHub: 593 stars · 120 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zts212653/cat-cafe-tutorials, 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
    Clarify README's opening to emphasize multi-agent AI system tutorial

    Why:

    CURRENT
    # Cat Café Tutorials

> 从零搭建 AI 猫猫协作系统 — 一个真实项目的完整复盘

## 这是什么

这是 Cat Café 项目的配套教程，记录三只 AI 猫猫（Claude/Codex/Gemini）如何真正协作起来的故事。

**不是**理想化的"从零开始"路径，**而是**还原我们真实走过的路 —— 包括错误的尝试、关键的转折、以及血泪教训。
    COPY-PASTE FIX
    # Cat Café Tutorials

> 从零搭建 AI 猫猫协作系统 — 一个真实项目的完整复盘

## 这是什么

这是一个关于**如何从零开始构建一个真实的多智能体（Multi-Agent）AI 协作系统**的配套教程。它记录了我们如何让三只不同的 AI 猫猫（Claude/Codex/Gemini）真正协作起来的故事。

**不是**理想化的"从零开始"路径，**而是**还原我们真实走过的路 —— 包括错误的尝试、关键的转折、以及血泪教训。
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, multi-agent-system, generative-ai, llm, tutorial, project-based-learning, claude, gemini, codex, ai-collaboration, system-design
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0). If unsure, MIT is a common permissive choice.

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 zts212653/cat-cafe-tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI agents for collaborative project execution and development?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. LlamaIndex

    AI recommended 6 alternatives but never named zts212653/cat-cafe-tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a practical guide on building multi-agent AI systems, covering architecture and common challenges.
    you: not recommended
    AI recommended (in order):
    1. Jason (jason-bdi/jason)
    2. JADE (jade-project/jade)
    3. NetLogo (NetLogo/NetLogo)

    AI recommended 3 alternatives but never named zts212653/cat-cafe-tutorials. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 zts212653/cat-cafe-tutorials?
    pass
    AI did not name zts212653/cat-cafe-tutorials — 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 zts212653/cat-cafe-tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zts212653/cat-cafe-tutorials 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 zts212653/cat-cafe-tutorials solve, and who is the primary audience?
    pass
    AI did not name zts212653/cat-cafe-tutorials — 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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zts212653/cat-cafe-tutorials — 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