RRepoGEO

REPOGEO REPORT · LITE

patrick-kidger/optimistix

Default branch main · commit 6415ab15 · scanned 6/15/2026, 9:02:22 AM

GitHub: 590 stars · 52 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/optimistix, 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
  • highhomepage#1
    Add the project homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://docs.kidger.site/optimistix/
  • hightopics#2
    Expand repository topics with specific problem types

    Why:

    CURRENT
    deep-learning, equinox, jax, neural-networks, optimisation, optimization
    COPY-PASTE FIX
    deep-learning, equinox, jax, neural-networks, optimisation, optimization, root-finding, least-squares, fixed-point-problems, nonlinear-solvers
  • mediumreadme#3
    Refine README's opening sentence to emphasize JAX-native and extensibility

    Why:

    CURRENT
    Optimistix is a JAX library for nonlinear solvers: root finding, minimisation, fixed points, and least squares.
    COPY-PASTE FIX
    Optimistix is a unified and extensible JAX-native library for nonlinear solvers, including root finding, minimisation, fixed points, and least squares, designed for the JAX ecosystem.

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/optimistix
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
JAXopt
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. JAXopt · recommended 2×
  2. Optax · recommended 2×
  3. SciPy · recommended 1×
  4. PyTorch · recommended 1×
  5. jax.lax · recommended 1×
  • CATEGORY QUERY
    How to perform nonlinear optimization and root finding within a JAX environment?
    you: not recommended
    AI recommended (in order):
    1. JAXopt
    2. SciPy
    3. Optax
    4. PyTorch

    AI recommended 4 alternatives but never named patrick-kidger/optimistix. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a JAX library to solve fixed-point problems and least squares efficiently.
    you: not recommended
    AI recommended (in order):
    1. JAXopt
    2. Optax
    3. jax.lax
    4. jax.scipy
    5. Diffrax
    6. Equinox

    AI recommended 6 alternatives but never named patrick-kidger/optimistix. 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/optimistix?
    pass
    AI named patrick-kidger/optimistix 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/optimistix in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patrick-kidger/optimistix 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/optimistix solve, and who is the primary audience?
    pass
    AI named patrick-kidger/optimistix explicitly

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

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patrick-kidger/optimistix — 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