RRepoGEO

REPOGEO REPORT · LITE

zhoushengisnoob/DeepClustering

Default branch master · commit a006b1e8 · scanned 5/12/2026, 11:55:35 AM

GitHub: 3,055 stars · 425 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zhoushengisnoob/DeepClustering, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository, for example, using the MIT License text, to clearly state the terms of use.
  • mediumabout#2
    Refine the repository description

    Why:

    CURRENT
    Methods and Implements of Deep Clustering
    COPY-PASTE FIX
    A curated reading list and comprehensive survey of deep clustering methods, papers, and public codebases.

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 zhoushengisnoob/DeepClustering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deep Clustering: A Comprehensive Survey by Aljalbout et al. (2018)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Deep Clustering: A Comprehensive Survey by Aljalbout et al. (2018) · recommended 1×
  2. Deep Clustering: A Review by Min et al. (2018) · recommended 1×
  3. Deep Learning for Clustering: A Review by Xu et al. (2020) · recommended 1×
  4. Deep Clustering: A Survey by Ma et al. (2020) · recommended 1×
  5. Awesome Deep Clustering · recommended 1×
  • CATEGORY QUERY
    What are the latest advancements and research papers in deep clustering algorithms?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive overview of deep clustering techniques and related methods?
    you: not recommended
    AI recommended (in order):
    1. Deep Clustering: A Comprehensive Survey by Aljalbout et al. (2018)
    2. Deep Clustering: A Review by Min et al. (2018)
    3. Deep Learning for Clustering: A Review by Xu et al. (2020)
    4. Deep Clustering: A Survey by Ma et al. (2020)
    5. Awesome Deep Clustering
    6. NeurIPS
    7. ICML
    8. AAAI

    AI recommended 8 alternatives but never named zhoushengisnoob/DeepClustering. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 zhoushengisnoob/DeepClustering?
    pass
    AI did not name zhoushengisnoob/DeepClustering — 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 zhoushengisnoob/DeepClustering in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zhoushengisnoob/DeepClustering — 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?

  • In one sentence, what problem does the repo zhoushengisnoob/DeepClustering solve, and who is the primary audience?
    pass
    AI named zhoushengisnoob/DeepClustering explicitly

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

Embed your GEO score

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zhoushengisnoob/DeepClustering — 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