RRepoGEO

REPOGEO REPORT · LITE

Biohub/esm

Default branch main · commit 453b2e2e · scanned 5/23/2026, 9:26:39 AM

GitHub: 2,340 stars · 288 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
64 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 Biohub/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
    Flagship protein models from EvolutionaryScale, including ESM3 for multimodal protein generation and prediction, and ESM C for high-quality protein sequence embeddings.
  • mediumreadme#2
    Clarify the specific license(s) in the README's 'Licenses' section

    Why:

    COPY-PASTE FIX
    This repository is licensed under [SPECIFIC LICENSE NAME(S) HERE]. Please refer to the LICENSE file for full details.

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
1 / 2
50% of queries surface Biohub/esm
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
deepmind/alphafold
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. deepmind/alphafold · recommended 1×
  2. aqlaboratory/openfold · recommended 1×
  3. gcorso/DiffDock · recommended 1×
  4. salesforce/progen · recommended 1×
  5. pyg-team/pytorch_geometric · recommended 1×
  • CATEGORY QUERY
    Seeking a Python library for multimodal protein generation and prediction tasks.
    you: #1
    AI recommended (in order):
    1. ESM (facebookresearch/esm) ← you
    2. AlphaFold/AlphaFold-Multimer (deepmind/alphafold)
    3. OpenFold (aqlaboratory/openfold)
    4. DiffDock (gcorso/DiffDock)
    5. ProGen (salesforce/progen)
    6. PyTorch Geometric (PyG) (pyg-team/pytorch_geometric)
    Show full AI answer
  • CATEGORY QUERY
    Which tools can generate high-quality embeddings for protein sequences?
    you: not recommended
    AI recommended (in order):
    1. ESM-2
    2. ProtT5-XL-U50
    3. ProtBERT
    4. Ankh
    5. SeqVec
    6. UniRep

    AI recommended 6 alternatives but never named Biohub/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 Biohub/esm?
    pass
    AI named Biohub/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 Biohub/esm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Biohub/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 Biohub/esm solve, and who is the primary audience?
    pass
    AI named Biohub/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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Biohub/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