RRepoGEO

REPOGEO REPORT · LITE

nicobailon/pi-subagents

Default branch main · commit e99bf5b8 · scanned 5/15/2026, 6:22:18 AM

GitHub: 1,395 stars · 196 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 nicobailon/pi-subagents, 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
    Clarify 'Pi' context and explicitly position as an agent orchestration framework in README

    Why:

    CURRENT
    pi-subagents lets Pi delegate work to focused child agents.
    COPY-PASTE FIX
    pi-subagents is an extension for the Pi AI assistant, enabling it to delegate complex tasks to specialized child agents. It provides a robust framework for multi-agent orchestration, allowing Pi to manage focused sub-agents for code review, scouting, implementation, and parallel analysis.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, agent-orchestration, llm-agents, multi-agent-system, delegation, ai-assistant-extension, task-automation
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clearly state the terms of use.

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 nicobailon/pi-subagents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 1×
  2. LangChain · recommended 1×
  3. CrewAI · recommended 1×
  4. Microsoft AutoGen · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant to delegate complex tasks to specialized sub-agents?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. CrewAI
    4. Microsoft AutoGen
    5. BabyAGI

    AI recommended 5 alternatives but never named nicobailon/pi-subagents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable an AI to perform parallel code reviews or multi-perspective analysis?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. CodeGuru Reviewer
    3. DeepCode AI
    4. SonarQube
    5. Pylint
    6. ESLint
    7. RuboCop

    AI recommended 7 alternatives but never named nicobailon/pi-subagents. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 nicobailon/pi-subagents?
    pass
    AI named nicobailon/pi-subagents explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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