RRepoGEO

REPOGEO REPORT · LITE

agemagician/ProtTrans

Default branch master · commit 27c02f07 · scanned 5/21/2026, 5:06:49 AM

GitHub: 1,308 stars · 168 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
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 agemagician/ProtTrans, 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
  • highreadme#1
    Reposition the README's opening paragraph to highlight specific models and scale

    Why:

    CURRENT
    ProtTrans is providing **state of the art pre-trained models for proteins**. ProtTrans was trained on **thousands of GPUs from Summit** and **hundreds of Google TPUs** using various **Transformer models**.
    COPY-PASTE FIX
    ProtTrans offers **state-of-the-art pre-trained language models for proteins**, including variants like ProtT5 and ProtBERT. Leveraging **thousands of GPUs from Summit** and **hundreds of Google TPUs**, ProtTrans pioneers large-scale self-supervised deep learning for protein sequence analysis.
  • mediumabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://agemagician.github.io/ProtTrans/

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 agemagician/ProtTrans
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebookresearch/esm
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. facebookresearch/esm · recommended 2×
  2. ESM-2 · recommended 1×
  3. ProtT5-XL-U50 · recommended 1×
  4. AlphaFold2 · recommended 1×
  5. AlphaFold3 · recommended 1×
  • CATEGORY QUERY
    Looking for large-scale pre-trained models to analyze protein sequences efficiently.
    you: not recommended
    AI recommended (in order):
    1. ESM-2
    2. ProtT5-XL-U50
    3. AlphaFold2
    4. AlphaFold3
    5. ProGen
    6. MSA Transformer

    AI recommended 6 alternatives but never named agemagician/ProtTrans. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use transformer models for protein feature extraction?
    you: not recommended
    AI recommended (in order):
    1. ESM-2 (facebookresearch/esm)
    2. ProtT5-XL-U50 (rostlab/prot_t5)
    3. ProtBERT-BFD (rostlab/prot_bert)
    4. Ankh (google-deepmind/ankh)
    5. AlphaFold (deepmind/alphafold)
    6. MSA Transformer (facebookresearch/esm)

    AI recommended 6 alternatives but never named agemagician/ProtTrans. 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 agemagician/ProtTrans?
    pass
    AI named agemagician/ProtTrans explicitly

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

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

    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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agemagician/ProtTrans — 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