RRepoGEO

REPOGEO REPORT · LITE

datawhalechina/agentic-ai

Default branch main · commit fb6c7b7e · scanned 6/2/2026, 3:27:52 PM

GitHub: 877 stars · 155 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 datawhalechina/agentic-ai, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and first paragraph to emphasize 'learning guide'

    Why:

    CURRENT
    # Agentic-ai

## 项目简介
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。
    COPY-PASTE FIX
    # Agentic-ai: 吴恩达Agentic AI课程中文学习指南

## 项目简介
本项目是围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程而打造的**官方中文学习指南与知识整理教程**，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。
  • mediumhomepage#2
    Add the official DeepLearning.AI course link as the repository's homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://www.deeplearning.ai/short-courses/agentic-ai-workflows/

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 datawhalechina/agentic-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGPT · recommended 2×
  4. BabyAGI · recommended 2×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to get started with agentic AI workflows and integrate LLMs with local tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. AgentGPT
    7. OpenAI Function Calling
    8. Anthropic's Claude
    9. Google's Gemini
    10. CrewAI
    11. Semantic Kernel

    AI recommended 11 alternatives but never named datawhalechina/agentic-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best practices for building autonomous AI agents and task collaboration systems?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Docker
    3. AWS Lambda
    4. Google Cloud Functions
    5. Azure Functions
    6. Apache Kafka
    7. RabbitMQ
    8. Redis Pub/Sub
    9. PostgreSQL
    10. MongoDB
    11. Redis
    12. Apache Airflow
    13. Temporal
    14. Camunda Platform
    15. Prometheus
    16. Grafana
    17. Elastic Stack
    18. OpenTelemetry
    19. Vault
    20. Keycloak
    21. LangChain
    22. LlamaIndex
    23. AutoGPT
    24. BabyAGI

    AI recommended 24 alternatives but never named datawhalechina/agentic-ai. 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 datawhalechina/agentic-ai?
    pass
    AI named datawhalechina/agentic-ai explicitly

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

  • If a team adopts datawhalechina/agentic-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datawhalechina/agentic-ai 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 datawhalechina/agentic-ai solve, and who is the primary audience?
    pass
    AI named datawhalechina/agentic-ai explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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