RRepoGEO

REPOGEO REPORT · LITE

study8677/awesome-architecture

Default branch main · commit f0b5cbf0 · scanned 5/31/2026, 12:58:05 PM

GitHub: 983 stars · 103 forks

AI VISIBILITY SCORE
28 /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
2 / 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 study8677/awesome-architecture, 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 highlight open-source, practical nature and AI architecture focus

    Why:

    CURRENT
    # Awesome Architecture · 架构图谱
    
    > 一个专注「**架构**」而非「代码」的开源知识库。
    > 收集真实热门系统的架构模板,并配一套让你成为更好架构师的教程。
    COPY-PASTE FIX
    # Awesome Architecture · 架构图谱
    
    > 一个专注「**架构**」而非「代码」的开源知识库。
    > 收集真实热门系统的架构模板 (含 AI 网关、RAG、Agent、推理服务、向量数据库等),并配一套让你成为更好架构师的教程。
    > 💡 告别枯燥理论书,这里是面向实战的开源架构图谱与系统设计教程。
  • mediumtopics#2
    Add more specific AI architecture topics

    Why:

    CURRENT
    ai-agents, architecture-decision-records, architecture-patterns, awesome, awesome-list, backend, c4-model, chinese, design-patterns, distributed-systems, interview-preparation, learning-resources, microservices, scalability, software-architecture, software-engineering, system-design, system-design-interview, tech-interview, vue
    COPY-PASTE FIX
    ai-agents, architecture-decision-records, architecture-patterns, awesome, awesome-list, backend, c4-model, chinese, design-patterns, distributed-systems, interview-preparation, learning-resources, microservices, scalability, software-architecture, software-engineering, system-design, system-design-interview, tech-interview, vue, ai-architecture, llm-architecture, rag-architecture, vector-database, inference-serving, ai-gateway
  • lowhomepage#3
    Add the GitHub Pages URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://study8677.github.io/awesome-architecture/

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 study8677/awesome-architecture
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Designing Data-Intensive Applications
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Designing Data-Intensive Applications · recommended 2×
  2. System Design Interview – An Insider's Guide · recommended 2×
  3. Clean Architecture: A Craftsman's Guide to Software Structure and Design · recommended 1×
  4. Grokking the System Design Interview · recommended 1×
  5. Software Architecture in Practice · recommended 1×
  • CATEGORY QUERY
    What are the best resources for learning software architecture and system design principles?
    you: not recommended
    AI recommended (in order):
    1. Designing Data-Intensive Applications
    2. System Design Interview – An Insider's Guide
    3. Clean Architecture: A Craftsman's Guide to Software Structure and Design
    4. Grokking the System Design Interview
    5. Software Architecture in Practice
    6. Building Microservices
    7. Domain-Driven Design: Tackling Complexity in the Heart of Software

    AI recommended 7 alternatives but never named study8677/awesome-architecture. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I prepare for system design interviews focusing on modern distributed and AI architectures?
    you: not recommended
    AI recommended (in order):
    1. Grokking Modern System Design for Software Engineers & Managers
    2. Designing Data-Intensive Applications
    3. System Design Interview – An Insider's Guide
    4. System Design Primer
    5. Machine Learning System Design Interview
    6. ML System Design
    7. ByteByteGo
    8. Hussein Nasser
    9. Gaurav Sen
    10. Kafka
    11. RabbitMQ
    12. SQL
    13. NoSQL
    14. Feast
    15. MLflow

    AI recommended 15 alternatives but never named study8677/awesome-architecture. 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 study8677/awesome-architecture?
    pass
    AI did not name study8677/awesome-architecture — 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 study8677/awesome-architecture in production, what risks or prerequisites should they evaluate first?
    pass
    AI named study8677/awesome-architecture 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 study8677/awesome-architecture solve, and who is the primary audience?
    pass
    AI named study8677/awesome-architecture explicitly

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

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study8677/awesome-architecture — RepoGEO report