RRepoGEO

REPOGEO REPORT · LITE

fferflo/einx

Default branch master · commit bd893c29 · scanned 6/3/2026, 1:13:20 PM

GitHub: 510 stars · 19 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 fferflo/einx, 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 unique value

    Why:

    CURRENT
    einx is a notation and Python library that provides a universal interface to formulate tensor operations in frameworks such as Numpy, PyTorch, Jax, Tensorflow, and MLX.
    COPY-PASTE FIX
    einx is a powerful Python library providing a universal notation for tensor operations across frameworks like Numpy, PyTorch, Jax, Tensorflow, and MLX. It offers a concise, Einstein-like syntax that goes beyond `einsum` and `einops` by enabling truly generic array processing functions, agnostic to specific shapes and data types.
  • mediumabout#2
    Refine the 'About' description to emphasize core differentiator

    Why:

    CURRENT
    Universal Notation for Tensor Operations in Python
    COPY-PASTE FIX
    Universal notation for generic, shape-agnostic tensor operations across Numpy, PyTorch, Jax, TensorFlow, and MLX. A powerful alternative to `einsum` and `einops`.

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 fferflo/einx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. JAX · recommended 2×
  3. NumPy · recommended 2×
  4. TensorFlow · recommended 2×
  5. ONNX · recommended 1×
  • CATEGORY QUERY
    How can I standardize tensor dimension manipulation across multiple deep learning frameworks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. JAX
    3. ONNX
    4. NumPy
    5. TensorFlow
    6. Keras API
    7. Apache MXNet
    8. Gluon API

    AI recommended 8 alternatives but never named fferflo/einx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python alternatives to `einsum` for clearer tensor array operations?
    you: not recommended
    AI recommended (in order):
    1. NumPy
    2. SciPy
    3. PyTorch
    4. TensorFlow
    5. JAX
    6. Xarray
    7. Opt_einsum

    AI recommended 7 alternatives but never named fferflo/einx. 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 fferflo/einx?
    pass
    AI named fferflo/einx explicitly

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

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