RRepoGEO

REPOGEO REPORT · LITE

agentcoinorg/evo.ninja

Default branch dev · commit 0fce6d4c · scanned 5/21/2026, 2:32:53 AM

GitHub: 1,080 stars · 170 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 agentcoinorg/evo.ninja, 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 README H1 to clarify agent type

    Why:

    CURRENT
    ## Welcome!
    
    To get started using evo.ninja simply head to our website, or to build and run from source follow these [setup instructions](#setup).
    COPY-PASTE FIX
    ## Welcome to evo.ninja: The Adaptive Generalist AI Agent
    
    evo.ninja is a versatile, self-improving AI agent designed to dynamically adjust its approach based on task requirements, utilizing specialized personas for diverse domains like text analysis, CSV data processing, research, and development. To get started using evo.ninja simply head to our website, or to build and run from source follow these [setup instructions](#setup).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, autonomous-agent, generalist-ai, adaptive-ai, multi-persona-agent, text-analysis, csv-analysis, research-agent, developer-agent
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://evo.ninja

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 agentcoinorg/evo.ninja
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/gym · recommended 1×
  2. DLR-RM/stable-baselines3 · recommended 1×
  3. ray-project/ray · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. huggingface/trl · recommended 1×
  • CATEGORY QUERY
    How can I find an AI agent that dynamically adjusts its approach based on task requirements?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym (openai/gym)
    2. Stable Baselines3 (DLR-RM/stable-baselines3)
    3. Ray RLib (ray-project/ray)
    4. Hugging Face Transformers (huggingface/transformers)
    5. TRL (huggingface/trl)
    6. Google's AutoAI
    7. Google's AutoML
    8. Microsoft Azure Machine Learning
    9. Azure's Automated ML
    10. PyTorch Lightning (Lightning-AI/lightning)

    AI recommended 10 alternatives but never named agentcoinorg/evo.ninja. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for building AI agents capable of text and CSV data analysis?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. PandasAI (gventuri/pandas-ai)
    4. MindsDB (mindsdb/mindsdb)
    5. Haystack (deepset-ai/haystack)
    6. AutoGen (microsoft/autogen)
    7. OpenAI API

    AI recommended 7 alternatives but never named agentcoinorg/evo.ninja. 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 agentcoinorg/evo.ninja?
    pass
    AI named agentcoinorg/evo.ninja explicitly

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

  • If a team adopts agentcoinorg/evo.ninja in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agentcoinorg/evo.ninja 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 agentcoinorg/evo.ninja solve, and who is the primary audience?
    pass
    AI named agentcoinorg/evo.ninja 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 agentcoinorg/evo.ninja. 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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agentcoinorg/evo.ninja — 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
agentcoinorg/evo.ninja — RepoGEO report