RRepoGEO

REPOGEO REPORT · LITE

algorithmicsuperintelligence/openevolve

Default branch main · commit 80945ed8 · scanned 5/24/2026, 6:52:17 PM

GitHub: 6,390 stars · 1,021 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 algorithmicsuperintelligence/openevolve, 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
    Reposition the README H1 to clearly state the project's core function

    Why:

    CURRENT
    # OpenEvolve
    COPY-PASTE FIX
    # OpenEvolve: The LLM-Powered Evolutionary Coding Agent
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Your project's official website or documentation URL]
  • mediumreadme#3
    Integrate the project's unique value proposition into the README's introductory paragraph

    Why:

    COPY-PASTE FIX
    OpenEvolve is the leading open-source framework that transforms Large Language Models (LLMs) into autonomous code optimizers, enabling them to discover breakthrough algorithms through advanced evolutionary computation.

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 algorithmicsuperintelligence/openevolve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Codex / GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Codex / GPT-4 · recommended 1×
  2. GitHub Copilot · recommended 1×
  3. Google Gemini · recommended 1×
  4. Meta Llama 2 / Code Llama · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to use large language models for autonomous code optimization and algorithm discovery?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Codex / GPT-4
    2. GitHub Copilot
    3. Google Gemini
    4. Meta Llama 2 / Code Llama
    5. Hugging Face Transformers

    AI recommended 5 alternatives but never named algorithmicsuperintelligence/openevolve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for applying evolutionary computation to discover breakthrough algorithms and optimize code performance.
    you: not recommended
    AI recommended (in order):
    1. DEAP (deap/deap)
    2. ECJ (ecj/ecj)
    3. JGAP (jgap/jgap)
    4. PyGAD (ahmedfgad/PyGAD)
    5. NEAT-Python (CodeReclaimers/neat-python)
    6. OpenAI Gym (openai/gym)
    7. Gymnasium (Farama-Foundation/Gymnasium)

    AI recommended 7 alternatives but never named algorithmicsuperintelligence/openevolve. 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 algorithmicsuperintelligence/openevolve?
    pass
    AI named algorithmicsuperintelligence/openevolve explicitly

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

  • If a team adopts algorithmicsuperintelligence/openevolve in production, what risks or prerequisites should they evaluate first?
    pass
    AI named algorithmicsuperintelligence/openevolve 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 algorithmicsuperintelligence/openevolve solve, and who is the primary audience?
    pass
    AI named algorithmicsuperintelligence/openevolve 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 algorithmicsuperintelligence/openevolve. 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/algorithmicsuperintelligence/openevolve.svg)](https://repogeo.com/en/r/algorithmicsuperintelligence/openevolve)
HTML
<a href="https://repogeo.com/en/r/algorithmicsuperintelligence/openevolve"><img src="https://repogeo.com/badge/algorithmicsuperintelligence/openevolve.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

algorithmicsuperintelligence/openevolve — 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