RRepoGEO

REPOGEO REPORT · LITE

alphaville/optimization-engine

Default branch master · commit e243d099 · scanned 6/16/2026, 3:46:57 AM

GitHub: 636 stars · 68 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 alphaville/optimization-engine, 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
  • highreadme#1
    Integrate 'code generation' into the README's opening sentence

    Why:

    CURRENT
    Optimization Engine (OpEn) is a solver for Fast & Accurate Embedded Optimization for next-generation Robotics and Autonomous Systems.
    COPY-PASTE FIX
    Optimization Engine (OpEn) is a code generation tool for Fast & Accurate Embedded Optimization, enabling next-generation Robotics and Autonomous Systems.
  • mediumreadme#2
    Add a clear statement about the dual license in the README

    Why:

    COPY-PASTE FIX
    ## License

OpEn is dual-licensed under both the MIT License and the Apache License, Version 2.0. You may choose either license to use this software.
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

While tools like OSQP and CasADi offer powerful optimization capabilities, OpEn specializes in **code generation for fast, real-time nonconvex embedded optimization**, particularly for robotics and autonomous systems. Unlike general-purpose solvers, OpEn focuses on generating highly optimized Rust code for specific embedded targets, providing deterministic performance and provably safe memory management, making it a direct counterpart to CVXGen for nonconvex problems.

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 alphaville/optimization-engine
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
acado/acado
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. acado/acado · recommended 1×
  2. osqp/osqp · recommended 1×
  3. FORCESPRO · recommended 1×
  4. casadi/casadi · recommended 1×
  5. pinocchio/pinocchio · recommended 1×
  • CATEGORY QUERY
    How to implement fast nonconvex optimal control for real-time embedded robotics applications?
    you: not recommended
    AI recommended (in order):
    1. ACADO Toolkit (acado/acado)
    2. OSQP (osqp/osqp)
    3. FORCESPRO
    4. CasADi (casadi/casadi)
    5. Pinocchio (pinocchio/pinocchio)
    6. Crocoddyl (loco-3d/crocoddyl)
    7. Gurobi
    8. CPLEX
    9. IPOPT (coin-or/Ipopt)

    AI recommended 9 alternatives but never named alphaville/optimization-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there tools for generating optimized code for nonconvex problems with ROS integration?
    you: not recommended
    AI recommended (in order):
    1. OSQP
    2. ACADO Toolkit
    3. CasADi
    4. IPOPT
    5. WORHP
    6. Gurobi Optimizer
    7. CPLEX Optimizer
    8. OpenOCL

    AI recommended 8 alternatives but never named alphaville/optimization-engine. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 alphaville/optimization-engine?
    pass
    AI named alphaville/optimization-engine explicitly

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

  • If a team adopts alphaville/optimization-engine in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alphaville/optimization-engine 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 alphaville/optimization-engine solve, and who is the primary audience?
    pass
    AI named alphaville/optimization-engine 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 alphaville/optimization-engine. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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alphaville/optimization-engine — RepoGEO report