RRepoGEO

REPOGEO REPORT · LITE

A-EVO-Lab/a-evolve

Default branch main · commit dfd51a31 · scanned 6/7/2026, 11:42:39 AM

GitHub: 587 stars · 74 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 A-EVO-Lab/a-evolve, 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
  • highlicense#1
    Add the MIT LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of the MIT License.
  • hightopics#2
    Expand repository topics to include evolutionary computation terms

    Why:

    CURRENT
    agents, continual-learning, llm-agents, self-evolving
    COPY-PASTE FIX
    agents, continual-learning, llm-agents, self-evolving, evolutionary-algorithms, evolutionary-computation, agentic-evolution, llm-optimization
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the 'About' section to `https://a-evo-lab.github.io/a-evolve/` (or the official project website if one exists) to provide a dedicated project landing page.

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 A-EVO-Lab/a-evolve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. AutoGPT · recommended 2×
  4. BabyAGI · recommended 2×
  5. Ray Tune · recommended 1×
  • CATEGORY QUERY
    How can I automatically evolve my LLM agents to achieve state-of-the-art performance?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. AutoGPT
    4. BabyAGI
    5. Ray Tune
    6. Ax
    7. OpenAI Evals
    8. AlphaCode 2
    9. Minerva

    AI recommended 9 alternatives but never named A-EVO-Lab/a-evolve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source frameworks exist for building self-improving AI agents without manual intervention?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. LangChain
    4. LlamaIndex
    5. OpenAI Gym
    6. Gymnasium
    7. Stable Baselines3
    8. MetaGPT

    AI recommended 8 alternatives but never named A-EVO-Lab/a-evolve. 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 A-EVO-Lab/a-evolve?
    pass
    AI named A-EVO-Lab/a-evolve explicitly

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

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

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

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MARKDOWN (README)
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A-EVO-Lab/a-evolve — 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