RRepoGEO

REPOGEO REPORT · LITE

geekinglcq/CDCS

Default branch master · commit 300cd3e8 · scanned 5/26/2026, 7:47:45 AM

GitHub: 1,767 stars · 390 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 geekinglcq/CDCS, 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
  • hightopics#1
    Add relevant topics to categorize the repository correctly

    Why:

    COPY-PASTE FIX
    data-science, machine-learning, data-competition, solutions, deep-learning, nlp, computer-vision, ai-competitions, chinese-competitions, competition-solutions
  • highreadme#2
    Clarify the repository's purpose as a collection in the README's opening

    Why:

    CURRENT
    Chinese Data Competitions Solutions
    COPY-PASTE FIX
    # CDCS 中国数据竞赛优胜解集锦
Chinese Data Competitions Solutions

This repository is a curated collection of winning solutions and code for past data science and machine learning competitions held in China.
  • mediumhomepage#3
    Add a homepage URL if a project page or related resource exists

    Why:

    COPY-PASTE FIX
    [Insert URL to a project page, blog post, or GitHub Pages if applicable]

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 geekinglcq/CDCS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 2×
  2. GitHub · recommended 2×
  3. Papers With Code · recommended 2×
  4. DrivenData · recommended 1×
  5. Topcoder · recommended 1×
  • CATEGORY QUERY
    Where can I find winning solutions and code for past data science challenges?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. DrivenData
    3. Topcoder
    4. Analytics Vidhya
    5. GitHub
    6. Papers With Code

    AI recommended 6 alternatives but never named geekinglcq/CDCS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a repository of proven data science methodologies for learning and comparison.
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Papers With Code
    3. Towards Data Science
    4. GitHub
    5. Awesome Data Science
    6. Awesome Machine Learning

    AI recommended 6 alternatives but never named geekinglcq/CDCS. 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 geekinglcq/CDCS?
    pass
    AI named geekinglcq/CDCS explicitly

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

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

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

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geekinglcq/CDCS — 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