RRepoGEO

REPOGEO REPORT · LITE

patrick-kidger/lineax

Default branch main · commit 11e95fbe · scanned 6/4/2026, 8:42:15 PM

GitHub: 550 stars · 39 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 patrick-kidger/lineax, 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
  • highabout#1
    Update About description to highlight specialization

    Why:

    CURRENT
    Linear solvers in JAX and Equinox.
    COPY-PASTE FIX
    High-performance, JAX-native library for differentiable linear solves and least squares, specializing in matrix-free methods and iterative solvers.
  • hightopics#2
    Add more specific topics for better categorization

    Why:

    CURRENT
    equinox, jax, linear-algebra
    COPY-PASTE FIX
    equinox, jax, linear-algebra, differentiable-programming, numerical-linear-algebra, matrix-free, iterative-solvers
  • mediumhomepage#3
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://docs.kidger.site/lineax

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 patrick-kidger/lineax
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
google/jax
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. google/jax · recommended 2×
  2. jax.numpy.linalg · recommended 1×
  3. jax.scipy.linalg · recommended 1×
  4. scipy.sparse.linalg.cg · recommended 1×
  5. scipy.sparse.linalg.minres · recommended 1×
  • CATEGORY QUERY
    How to perform efficient linear solves and least squares within a JAX environment?
    you: not recommended
    AI recommended (in order):
    1. jax.numpy.linalg
    2. jax.scipy.linalg
    3. scipy.sparse.linalg.cg
    4. scipy.sparse.linalg.minres
    5. jaxopt
    6. jaxopt.LBFGS
    7. jaxopt.GradientDescent
    8. jaxopt.linear_solve.solve_cg
    9. optax
    10. optax.adam
    11. optax.sgd

    AI recommended 11 alternatives but never named patrick-kidger/lineax. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library for numerically stable gradients through linear least squares in JAX.
    you: not recommended
    AI recommended (in order):
    1. jax.numpy.linalg.lstsq (google/jax)
    2. JAXopt (google/jaxopt)
    3. Optax (deepmind/optax)
    4. jax.numpy.linalg.qr (google/jax)

    AI recommended 4 alternatives but never named patrick-kidger/lineax. 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 patrick-kidger/lineax?
    pass
    AI named patrick-kidger/lineax explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of patrick-kidger/lineax. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/patrick-kidger/lineax.svg)](https://repogeo.com/en/r/patrick-kidger/lineax)
HTML
<a href="https://repogeo.com/en/r/patrick-kidger/lineax"><img src="https://repogeo.com/badge/patrick-kidger/lineax.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

patrick-kidger/lineax — 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