RRepoGEO

REPOGEO REPORT · LITE

bioMate-AI/biomate-bioconductor-kb

Default branch main · commit c9bd4d8e · scanned 6/25/2026, 6:48:54 PM

GitHub: 533 stars · 60 forks

AI VISIBILITY SCORE
28 /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
2 / 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 bioMate-AI/biomate-bioconductor-kb, 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 the README H1 and opening sentence to explicitly state its purpose for AI assistants

    Why:

    CURRENT
    # BioMate-KB — Bioconductor Skills

**200 Bioconductor packages — the top 100 most-downloaded plus the top 100 rising stars — formatted as Claude Code Skills.**
    COPY-PASTE FIX
    # BioMate-KB — Bioconductor Skills for AI Assistants

**This repository provides 200 Bioconductor packages — the top 100 most-downloaded plus the top 100 rising stars — specifically formatted as Claude Code Skills to empower AI assistants with deep Bioconductor expertise.**
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [State the actual license(s) here, e.g., 'a custom license combining elements of X and Y']. Please refer to the `LICENSE` file for complete terms and conditions.

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 bioMate-AI/biomate-bioconductor-kb
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. OpenAI API · recommended 1×
  3. Llama 2 · recommended 1×
  4. Code Llama · recommended 1×
  5. Mistral 7B · recommended 1×
  • CATEGORY QUERY
    How to provide an AI assistant with Bioconductor package usage expertise?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. OpenAI API
    3. Llama 2
    4. Code Llama
    5. Mistral 7B
    6. Mixtral 8x7B
    7. Pinecone
    8. Weaviate
    9. Chroma
    10. FAISS
    11. Bioconductor Website
    12. Biostars
    13. Bioconductor Support Site
    14. GitHub Repositories of Bioconductor Packages
    15. R-bloggers
    16. LangChain
    17. LlamaIndex

    AI recommended 17 alternatives but never named bioMate-AI/biomate-bioconductor-kb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a structured knowledge base for common bioinformatics analysis workflows and package parameters.
    you: not recommended
    AI recommended (in order):
    1. Galaxy
    2. Common Workflow Language (CWL)
    3. Nextflow
    4. Snakemake
    5. nf-core
    6. Wiki.js
    7. Confluence
    8. Notion

    AI recommended 8 alternatives but never named bioMate-AI/biomate-bioconductor-kb. 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 bioMate-AI/biomate-bioconductor-kb?
    pass
    AI named bioMate-AI/biomate-bioconductor-kb explicitly

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

  • If a team adopts bioMate-AI/biomate-bioconductor-kb in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bioMate-AI/biomate-bioconductor-kb 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 bioMate-AI/biomate-bioconductor-kb solve, and who is the primary audience?
    pass
    AI did not name bioMate-AI/biomate-bioconductor-kb — 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?

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