RRepoGEO

REPOGEO REPORT · LITE

SakanaAI/ShinkaEvolve

Default branch main · commit 174a186c · scanned 5/25/2026, 12:12:23 AM

GitHub: 1,153 stars · 237 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 SakanaAI/ShinkaEvolve, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    llm, evolutionary-algorithms, program-synthesis, scientific-discovery, code-generation, ai-scientist
  • highreadme#2
    Strengthen the first body paragraph to emphasize the unique combination and problem solved

    Why:

    CURRENT
    `shinka` is a framework that combines Large Language Models (LLMs) with evolutionary algorithms to drive scientific discovery.
    COPY-PASTE FIX
    `ShinkaEvolve` is a novel framework that uniquely combines Large Language Models (LLMs) with evolutionary algorithms to enable open-ended and sample-efficient program evolution, specifically for automated scientific discovery and code improvement.
  • mediumreadme#3
    Add an explicit link to the documentation website in the README's introductory section

    Why:

    COPY-PASTE FIX
    Add a line such as: "Explore comprehensive guides and examples on our official documentation website: [https://sakanaai.github.io/ShinkaEvolve/](https://sakanaai.github.io/ShinkaEvolve/)" near the top of the README.

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 SakanaAI/ShinkaEvolve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. CodeLlama · recommended 2×
  3. GitHub Copilot · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. StarCoder · recommended 1×
  • CATEGORY QUERY
    How can I use large language models for automated scientific code evolution and discovery?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GitHub Copilot
    3. Hugging Face Transformers (huggingface/transformers)
    4. CodeLlama
    5. StarCoder
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)
    8. DeepMind AlphaCode
    9. Google Gemini

    AI recommended 9 alternatives but never named SakanaAI/ShinkaEvolve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools combine evolutionary algorithms with LLMs for program optimization and generation?
    you: not recommended
    AI recommended (in order):
    1. DEAP
    2. OpenAI API
    3. Hugging Face Transformers
    4. GP-GOMEA
    5. CodeLlama
    6. DeepSeek Coder
    7. PyTorch
    8. TensorFlow
    9. Evocraft
    10. GPT-4
    11. Claude 3
    12. ECJ
    13. Deeplearning4j
    14. Nevergrad
    15. Llama.cpp
    16. Ollama

    AI recommended 16 alternatives but never named SakanaAI/ShinkaEvolve. 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 SakanaAI/ShinkaEvolve?
    pass
    AI named SakanaAI/ShinkaEvolve explicitly

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

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

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

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SakanaAI/ShinkaEvolve — 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