RRepoGEO

REPOGEO REPORT · LITE

fafrd/aquarium

Default branch main · commit c80c0158 · scanned 6/14/2026, 4:27:47 AM

GitHub: 661 stars · 37 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 fafrd/aquarium, 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
  • highabout#1
    Update the repository description to be explicit about its function

    Why:

    CURRENT
    Agents before they were cool
    COPY-PASTE FIX
    Give large language models (LLMs) control of a Linux machine to achieve complex goals via shell commands.
  • hightopics#2
    Add relevant topics to improve categorization and recall

    Why:

    COPY-PASTE FIX
    llm-agents, large-language-models, linux-automation, shell-commands, ai-agents, agentic-ai, openai, llama-cpp
  • mediumreadme#3
    Reinforce the core purpose in the README's main heading

    Why:

    CURRENT
    # Bot Aquarium
    COPY-PASTE FIX
    # Bot Aquarium: Give LLMs control of a Linux machine

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 fafrd/aquarium
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. OpenInterpreter/OpenInterpreter · recommended 1×
  3. paramiko/paramiko · recommended 1×
  4. reworkd/AgentGPT · recommended 1×
  5. Significant-Gravitas/Auto-GPT · recommended 1×
  • CATEGORY QUERY
    How can I give a large language model control over a Linux server?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (OpenInterpreter/OpenInterpreter)
    2. LangChain (langchain-ai/langchain)
    3. paramiko (paramiko/paramiko)
    4. AgentGPT (reworkd/AgentGPT)
    5. Auto-GPT (Significant-Gravitas/Auto-GPT)
    6. Ansible (ansible/ansible)
    7. SaltStack (saltstack/salt)
    8. Bash-GPT

    AI recommended 8 alternatives but never named fafrd/aquarium. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks allow an AI to achieve complex goals by running shell commands?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGPT (Significant-Gravitas/AutoGPT)
    3. LlamaIndex (run-llama/llama_index)
    4. Open Interpreter (KillianLucas/open-interpreter)
    5. BabyAGI (yoheinakajima/babyagi)
    6. CrewAI (joaomdmoura/crewai)

    AI recommended 6 alternatives but never named fafrd/aquarium. 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 fafrd/aquarium?
    pass
    AI named fafrd/aquarium explicitly

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

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