RRepoGEO

REPOGEO REPORT · LITE

ai4s-research/awesome-ai-for-science

Default branch master · commit dbd35d0a · scanned 6/28/2026, 2:57:42 PM

GitHub: 1,678 stars · 192 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 ai4s-research/awesome-ai-for-science, 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
  • highhomepage#1
    Update homepage URL to match repository

    Why:

    CURRENT
    https://github.com/ai-boost/awesome-ai-for-science
    COPY-PASTE FIX
    https://github.com/ai4s-research/awesome-ai-for-science
  • highreadme#2
    Emphasize comprehensiveness in README's opening statement

    Why:

    CURRENT
    A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery across all disciplines.
    COPY-PASTE FIX
    The most comprehensive curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery across all disciplines.
  • mediumtopics#3
    Add specific scientific domain topics

    Why:

    CURRENT
    ai-for-science, ai4s, ai4science, awesome, awesome-list, bioinformatics, scientific-ai
    COPY-PASTE FIX
    ai-for-science, ai4s, ai4science, awesome, awesome-list, bioinformatics, scientific-ai, physics, chemistry, biology, materials-science, drug-discovery, climate-modeling, astrophysics

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 ai4s-research/awesome-ai-for-science
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AI for Science (AI4Science) GitHub Repository
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AI for Science (AI4Science) GitHub Repository · recommended 1×
  2. Awesome-AI-in-Science GitHub Repository · recommended 1×
  3. Papers With Code · recommended 1×
  4. Nature Machine Intelligence · recommended 1×
  5. Google Scholar · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of AI tools for scientific research?
    you: not recommended
    AI recommended (in order):
    1. AI for Science (AI4Science) GitHub Repository
    2. Awesome-AI-in-Science GitHub Repository
    3. Papers With Code
    4. Nature Machine Intelligence
    5. Google Scholar
    6. Towards Data Science

    AI recommended 6 alternatives but never named ai4s-research/awesome-ai-for-science. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need to discover AI libraries and datasets for accelerating discoveries in biology or physics.
    you: not recommended
    AI recommended (in order):
    1. AlphaFold (deepmind/alphafold)
    2. AlphaFold DB
    3. OpenFold (RosettaCommons/OpenFold)
    4. ESMFold (facebookresearch/esm)
    5. BioPython (biopython/biopython)
    6. DeepChem (deepchem/deepchem)
    7. PDB (Protein Data Bank)
    8. PubChem
    9. DeepMind Physics (deepmind/graphs_for_physics)
    10. PyTorch Geometric (pyg-team/pytorch_geometric)
    11. Deep Graph Library (dmlc/dgl)
    12. OpenMM (openmm/openmm)
    13. MDAnalysis (MDAnalysis/mdanalysis)
    14. QM9 Dataset
    15. CERN Open Data Portal
    16. TensorFlow Physics (tensorflow/tensorflow_physics)

    AI recommended 16 alternatives but never named ai4s-research/awesome-ai-for-science. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 ai4s-research/awesome-ai-for-science?
    pass
    AI did not name ai4s-research/awesome-ai-for-science — 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 ai4s-research/awesome-ai-for-science in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai4s-research/awesome-ai-for-science 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 ai4s-research/awesome-ai-for-science solve, and who is the primary audience?
    pass
    AI did not name ai4s-research/awesome-ai-for-science — 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?

Embed your GEO score

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