RRepoGEO

REPOGEO REPORT · LITE

liyupi/yu-ai-code-mother

Default branch master · commit 893918c8 · scanned 5/23/2026, 4:33:57 AM

GitHub: 1,700 stars · 369 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
22 /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
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 liyupi/yu-ai-code-mother, 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's opening to emphasize 'AI application generation platform'

    Why:

    CURRENT
    # AI 零代码应用生成平台

> 作者：程序员鱼皮
>
> 本项目为教学项目，提供完整视频教程 + 文字教程 + 简历写法 + 面试题解 + 答疑服务，帮你提升项目能力，给简历增加亮点！
>
> ⭐️ 加入项目系列学习：加入编程导航
    COPY-PASTE FIX
    # AI 零代码应用生成平台 (AI Application Generation Platform)

> 本项目是一个基于 Spring Boot 3 + LangChain4j + Vue 3 的企业级 AI 应用生成平台，旨在帮助开发者掌握 AI 智能体开发和后端架构设计。同时，它也是一个教学项目，提供完整视频教程 + 文字教程 + 简历写法 + 面试题解 + 答疑服务，帮你提升项目能力，给简历增加亮点！
>
> 作者：程序员鱼皮
>
> ⭐️ 加入项目系列学习：加入编程导航
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository with the appropriate license text (e.g., MIT, Apache-2.0, or a custom license if applicable).
  • mediumtopics#3
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, backend, deepseek, frontend, java, langchain4j, langgraph4j, mysql, nginx, project, redis, springboot, springcloud, vue
    COPY-PASTE FIX
    ai, backend, deepseek, frontend, java, langchain4j, langgraph4j, mysql, nginx, project, redis, springboot, springcloud, vue, ai-platform, code-generation, education, course, microservices, fullstack

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 liyupi/yu-ai-code-mother
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Next.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Next.js · recommended 1×
  2. Vercel · recommended 1×
  3. OpenAI API · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to build a full-stack AI application generation platform for smart code creation?
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. Vercel
    3. OpenAI API
    4. LangChain
    5. LlamaIndex
    6. Hugging Face Transformers
    7. FastAPI
    8. PostgreSQL
    9. MongoDB Atlas
    10. Docker
    11. Kubernetes
    12. AWS ECS
    13. Google Cloud Run
    14. GitHub Copilot
    15. GitHub Actions
    16. Tailwind CSS
    17. Shadcn/ui
    18. VS Code

    AI recommended 18 alternatives but never named liyupi/yu-ai-code-mother. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java microservices framework for developing enterprise AI agent applications with LangChain4j.
    you: not recommended
    AI recommended (in order):
    1. Spring Boot (spring-projects/spring-boot)
    2. Spring Cloud (spring-cloud/spring-cloud)
    3. Eureka (Netflix/eureka)
    4. Consul (hashicorp/consul)
    5. Spring Cloud Config (spring-cloud/spring-cloud-config)
    6. Resilience4j (resilience4j/resilience4j)
    7. Spring Cloud Gateway (spring-cloud/spring-cloud-gateway)
    8. Quarkus (quarkusio/quarkus)
    9. Micronaut (micronaut-projects/micronaut-core)
    10. Helidon (helidon-io/helidon)
    11. Ktor (ktorio/ktor)

    AI recommended 11 alternatives but never named liyupi/yu-ai-code-mother. 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 liyupi/yu-ai-code-mother?
    pass
    AI did not name liyupi/yu-ai-code-mother — 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 liyupi/yu-ai-code-mother in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liyupi/yu-ai-code-mother 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 liyupi/yu-ai-code-mother solve, and who is the primary audience?
    pass
    AI did not name liyupi/yu-ai-code-mother — 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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liyupi/yu-ai-code-mother — 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