RRepoGEO

REPOGEO REPORT · LITE

MaxHalford/eaopt

Default branch master · commit 822946c0 · scanned 5/31/2026, 11:31:39 PM

GitHub: 906 stars · 97 forks

AI VISIBILITY SCORE
33 /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
2 / 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 MaxHalford/eaopt, 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
    Strengthen README's opening statement for better category recall

    Why:

    CURRENT
    <div align="center">eaopt is an evolutionary optimization library</div>
    COPY-PASTE FIX
    Replace the generic opening with: "eaopt is a comprehensive and highly modular Go library for evolutionary optimization, featuring genetic algorithms, particle swarm optimization, and differential evolution, designed for efficient parallel execution."
  • mediumreadme#2
    Add a comparison section to differentiate from similar Go libraries

    Why:

    COPY-PASTE FIX
    Add a new top-level section, e.g., "## Why choose eaopt?" or "## Comparison", detailing its modularity, concurrency features, and specific algorithm implementations compared to other Go optimization libraries.
  • lowreadme#3
    Expand README's 'Features' section with explicit algorithm and benefit keywords

    Why:

    COPY-PASTE FIX
    Review and ensure the "Features" section clearly lists: "Genetic Algorithms", "Particle Swarm Optimization", "Differential Evolution", "Modular and extensible design", "Parallel execution via Go concurrency", and "Customizable components (selection, crossover, mutation, etc.)".

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 MaxHalford/eaopt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
go-evodevo/evodevo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. go-evodevo/evodevo · recommended 1×
  2. go-evolve/evolve · recommended 1×
  3. aurelien-rainone/go-ga · recommended 1×
  4. MaxHalford/gago · recommended 1×
  5. go-pso/pso · recommended 1×
  • CATEGORY QUERY
    Looking for a Go library to implement genetic algorithms and particle swarm optimization.
    you: not recommended
    AI recommended (in order):
    1. go-evodevo/evodevo (go-evodevo/evodevo)
    2. go-evolve/evolve (go-evolve/evolve)
    3. aurelien-rainone/go-ga (aurelien-rainone/go-ga)
    4. MaxHalford/gago (MaxHalford/gago)
    5. go-pso/pso (go-pso/pso)

    AI recommended 5 alternatives but never named MaxHalford/eaopt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Go packages for metaheuristic optimization in machine learning tasks?
    you: not recommended
    AI recommended (in order):
    1. Go-GA
    2. Go-PSO
    3. Go-Simulated-Annealing
    4. Go-Evolutionary-Algorithms
    5. Go-HillClimbing
    6. Gonum

    AI recommended 6 alternatives but never named MaxHalford/eaopt. 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 MaxHalford/eaopt?
    pass
    AI did not name MaxHalford/eaopt — likely talking about a different project

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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MaxHalford/eaopt — RepoGEO report