RRepoGEO

REPOGEO REPORT · LITE

evolutionaryscale/esm

Default branch main · commit 82ee3555 · scanned 6/17/2026, 4:56:45 PM

GitHub: 2,758 stars · 343 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 evolutionaryscale/esm, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A world model for protein biology, including ESMC (protein language model), ESMFold2 (protein structure prediction and design), and ESM Atlas, enabling prediction, design, and discovery from protein sequences.
  • mediumreadme#2
    Reposition README's opening sentence to highlight core functionalities

    Why:

    CURRENT
    We are releasing a world model for protein biology: a scientific engine for prediction, design, and discovery.
    COPY-PASTE FIX
    This repository introduces a world model for protein biology, offering advanced AI models like ESMC for protein language understanding and ESMFold2 for state-of-the-art protein structure prediction and protein-protein interaction design.

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 evolutionaryscale/esm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AlphaFold2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AlphaFold2 · recommended 2×
  2. RoseTTAFold · recommended 1×
  3. Rosetta · recommended 1×
  4. HADDOCK · recommended 1×
  5. ZDOCK · recommended 1×
  • CATEGORY QUERY
    What tools can I use for predicting protein structure and designing protein-protein interactions?
    you: not recommended
    AI recommended (in order):
    1. AlphaFold2
    2. RoseTTAFold
    3. Rosetta
    4. HADDOCK
    5. ZDOCK
    6. HDOCK
    7. AF2Complex
    8. PatchDock
    9. FireDock

    AI recommended 9 alternatives but never named evolutionaryscale/esm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust AI model to understand and generate protein sequences for biological research.
    you: not recommended
    AI recommended (in order):
    1. AlphaFold2
    2. AlphaFold3
    3. ESM-2
    4. ProGen
    5. RFdiffusion
    6. Chroma
    7. ProtTrans
    8. ProtT5-XL-UniRef50
    9. IgFold

    AI recommended 9 alternatives but never named evolutionaryscale/esm. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 evolutionaryscale/esm?
    pass
    AI named evolutionaryscale/esm explicitly

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

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

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

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evolutionaryscale/esm — 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