RRepoGEO

REPOGEO REPORT · LITE

vandijklab/cell2sentence

Default branch master · commit a6efaf07 · scanned 6/12/2026, 3:57:02 PM

GitHub: 866 stars · 130 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 vandijklab/cell2sentence, 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 specific topics for single-cell LLM analysis

    Why:

    COPY-PASTE FIX
    ["single-cell-rna-seq", "llm", "transcriptomics", "bioinformatics", "genomics", "computational-biology", "natural-language-processing", "ai-in-biology"]
  • highreadme#2
    Refine README H1 to highlight the unique "cell sentences" methodology

    Why:

    CURRENT
    # Cell2Sentence: Single-cell Analysis With LLMs
    COPY-PASTE FIX
    # Cell2Sentence: Single-cell Analysis With LLMs via Cell Sentences
  • mediumreadme#3
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled "Why Cell2Sentence?" or "Comparison", that briefly explains how its "cell sentences" approach differs from other LLM-based single-cell analysis tools like scGPT or Geneformer.

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 vandijklab/cell2sentence
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BioGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BioGPT · recommended 2×
  2. scGPT · recommended 1×
  3. Geneformer · recommended 1×
  4. scBERT · recommended 1×
  5. scFoundation · recommended 1×
  • CATEGORY QUERY
    How can I apply large language models to analyze single-cell RNA sequencing data?
    you: not recommended
    AI recommended (in order):
    1. scGPT
    2. Geneformer
    3. scBERT
    4. scFoundation
    5. OpenAI's GPT-3/GPT-4
    6. Hugging Face Transformers library
    7. BioGPT

    AI recommended 7 alternatives but never named vandijklab/cell2sentence. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for using LLMs to interpret and summarize single-cell transcriptomics?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. BioGPT
    4. Pathview
    5. Reactome
    6. GOseq
    7. Google Gemini
    8. Elicit
    9. SciSpace
    10. PubMed
    11. GeneCards
    12. KEGG
    13. Seurat
    14. Scanpy

    AI recommended 14 alternatives but never named vandijklab/cell2sentence. 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 vandijklab/cell2sentence?
    pass
    AI did not name vandijklab/cell2sentence — 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 vandijklab/cell2sentence in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vandijklab/cell2sentence 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 vandijklab/cell2sentence solve, and who is the primary audience?
    pass
    AI named vandijklab/cell2sentence explicitly

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

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vandijklab/cell2sentence — 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