RRepoGEO

REPOGEO REPORT · LITE

datawhalechina/easy-vibe

Default branch main · commit dc3795f3 · scanned 6/21/2026, 12:38:14 AM

GitHub: 17,148 stars · 1,619 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
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/easy-vibe, 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 opening to clarify "vibe coding" as an AI-assisted coding course

    Why:

    CURRENT
    Jump right in and vibe together — if you can talk, you can build apps.
    COPY-PASTE FIX
    Welcome to Easy Vibe, your modern coding course for beginners! Learn 'vibe coding' – building applications step-by-step using AI assistants and low-code principles. If you can talk, you can build apps.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, containing the text for the MIT License.
  • mediumtopics#3
    Add specific topics for AI coding assistants and application development

    Why:

    CURRENT
    agent, ai, coding, course, deepseek, gemini, genai, gpt, llm, low-code, mcp, nextjs, no-code, openai, programming, tutorial, vibe-coding, vibecoding, vscode, workflow
    COPY-PASTE FIX
    agent, ai, ai-coding-assistant, application-development, beginner-course, coding, course, deepseek, gemini, genai, gpt, llm, low-code, mcp, nextjs, no-code, openai, programming, tutorial, vibe-coding, vibecoding, vscode, workflow

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/easy-vibe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Codeium · recommended 1×
  4. Tabnine · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How can I learn modern coding with an AI assistant for building applications?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Codeium
    4. Tabnine
    5. ChatGPT
    6. Google Gemini

    AI recommended 6 alternatives but never named datawhalechina/easy-vibe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good beginner resources for building apps using AI and low-code principles?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI Workbench
    2. AutoML
    3. Generative AI Studio
    4. Microsoft Power Apps
    5. Azure AI Builder
    6. Hugging Face Spaces
    7. Gradio (gradio-app/gradio)
    8. Bubble.io
    9. OpenAI
    10. Google Cloud AI
    11. Azure AI
    12. Zapier
    13. Make

    AI recommended 13 alternatives but never named datawhalechina/easy-vibe. 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/easy-vibe?
    pass
    AI named datawhalechina/easy-vibe 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/easy-vibe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datawhalechina/easy-vibe 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/easy-vibe solve, and who is the primary audience?
    pass
    AI named datawhalechina/easy-vibe explicitly

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

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datawhalechina/easy-vibe — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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