RRepoGEO

REPOGEO REPORT · LITE

paperswithcode/galai

Default branch main · commit 3a724f56 · scanned 5/14/2026, 3:12:07 AM

GitHub: 2,738 stars · 265 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 paperswithcode/galai, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    scientific-language-model, llm, scientific-nlp, citation-prediction, mathematical-reasoning, molecular-property-prediction, protein-annotation, galactica
  • highabout#2
    Update repository description to emphasize scientific LLM specialization

    Why:

    CURRENT
    Model API for GALACTICA
    COPY-PASTE FIX
    GALACTICA: A general-purpose scientific language model for NLP, citation prediction, mathematical reasoning, molecular property prediction, and protein annotation.
  • mediumhomepage#3
    Add the official project homepage URL

    Why:

    COPY-PASTE FIX
    https://galactica.org

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 paperswithcode/galai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus / Sonnet · recommended 1×
  3. Med-PaLM 2 · recommended 1×
  4. BioGPT · recommended 1×
  5. SciBERT · recommended 1×
  • CATEGORY QUERY
    What are the best large language models for scientific text analysis and research?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus / Sonnet
    3. Med-PaLM 2
    4. BioGPT
    5. SciBERT
    6. Llama 3
    7. Gemma

    AI recommended 7 alternatives but never named paperswithcode/galai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I perform advanced molecular property prediction or protein annotation using an LLM?
    you: not recommended
    AI recommended (in order):
    1. ESM-2
    2. ProtT5-XL-U50
    3. AlphaFold2
    4. OpenFold
    5. MegaMolBART
    6. ChemBERTa-2
    7. ProtGPT2

    AI recommended 7 alternatives but never named paperswithcode/galai. 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 paperswithcode/galai?
    pass
    AI named paperswithcode/galai explicitly

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

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

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

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paperswithcode/galai — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite