RRepoGEO

REPOGEO REPORT · LITE

etal/cnvkit

Default branch master · commit 42c8ce66 · scanned 5/31/2026, 12:37:33 PM

GitHub: 610 stars · 186 forks

AI VISIBILITY SCORE
69 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 etal/cnvkit, 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
  • mediumreadme#1
    Emphasize 'Python library' in the README's opening sentence

    Why:

    CURRENT
    A command-line toolkit and Python library for detecting copy number variants and alterations genome-wide from high-throughput sequencing.
    COPY-PASTE FIX
    CNVkit is a Python library and command-line toolkit for detecting copy number variants and alterations genome-wide from high-throughput sequencing data, especially targeted DNA sequencing.
  • lowreadme#2
    Clarify the project's license in the README text

    Why:

    COPY-PASTE FIX
    CNVkit is licensed under the Apache License 2.0.

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
1 / 2
50% of queries surface etal/cnvkit
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
GATK gCNV
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GATK gCNV · recommended 1×
  2. ExomeDepth · recommended 1×
  3. Panelcn.MOPS · recommended 1×
  4. CONTRA · recommended 1×
  5. QDNAseq · recommended 1×
  • CATEGORY QUERY
    What tools can I use for copy number variant detection from targeted DNA sequencing data?
    you: #1
    AI recommended (in order):
    1. CNVkit ← you
    2. GATK gCNV
    3. ExomeDepth
    4. Panelcn.MOPS
    5. CONTRA
    6. QDNAseq
    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library for genome-wide copy number alteration detection from high-throughput sequencing.
    you: not recommended
    AI recommended (in order):
    1. CNVpytor
    2. PyWGS
    3. GATK
    4. cnvkit.py
    5. VarScan 2

    AI recommended 5 alternatives but never named etal/cnvkit. 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 etal/cnvkit?
    pass
    AI named etal/cnvkit explicitly

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

  • If a team adopts etal/cnvkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named etal/cnvkit 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 etal/cnvkit solve, and who is the primary audience?
    pass
    AI named etal/cnvkit 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
  • Prioritized action items8 vs 3 in Lite