RRepoGEO

REPOGEO REPORT · LITE

RobertTLange/evosax

Default branch main · commit 6c0e082e · scanned 6/1/2026, 9:52:00 AM

GitHub: 762 stars · 62 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 RobertTLange/evosax, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    jax, evolution-strategies, evolutionary-algorithms, neuroevolution, black-box-optimization, machine-learning, deep-learning, accelerators, high-performance-computing
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://roberttlange.github.io/evosax/
  • mediumabout#3
    Enhance the 'About' description for better keyword alignment

    Why:

    CURRENT
    Evolution Strategies in JAX 🦎
    COPY-PASTE FIX
    High-performance Evolution Strategies (ES) in JAX for scalable neuroevolution and black-box optimization.

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 RobertTLange/evosax
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DEAP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DEAP · recommended 2×
  2. JAX · recommended 1×
  3. Brax · recommended 1×
  4. EvoJAX · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How to efficiently run large-scale evolutionary algorithms leveraging modern hardware accelerators?
    you: not recommended
    AI recommended (in order):
    1. JAX
    2. Brax
    3. EvoJAX
    4. PyTorch
    5. PyTorch-Lightning
    6. Ax
    7. TensorFlow
    8. TensorFlow Extended (TFX)
    9. TF-Agents
    10. GPflow
    11. Ray
    12. Ray Tune
    13. RLlib
    14. CUDA
    15. OpenCL
    16. Thrust
    17. PyCUDA
    18. PyOpenCL
    19. DEAP
    20. Numba
    21. CuPy

    AI recommended 21 alternatives but never named RobertTLange/evosax. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a high-performance framework for implementing various evolution strategies efficiently.
    you: not recommended
    AI recommended (in order):
    1. Nevergrad
    2. PyTorch-ES
    3. OpenAI ES
    4. DEAP
    5. Evotorch

    AI recommended 5 alternatives but never named RobertTLange/evosax. 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 RobertTLange/evosax?
    pass
    AI named RobertTLange/evosax explicitly

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

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

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

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RobertTLange/evosax — 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