RRepoGEO

REPOGEO REPORT · LITE

russelleNVy/three-man-team

Default branch main · commit 1bb1c14a · scanned 6/4/2026, 1:51:47 AM

GitHub: 813 stars · 94 forks

AI VISIBILITY SCORE
22 /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
1 / 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 russelleNVy/three-man-team, 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 opening to clearly state it's an AI agent system for coding

    Why:

    COPY-PASTE FIX
    <p align="center">
  
</p>

<p align="center">
  <a href="https://russellenvy.github.io/three-man-team/">russellenvy.github.io/three-man-team</a>
</p>

<p align="center">
  By <a href="https://russellenvy.com">RUSSΞLL AARØN</a>
</p>

Three Man Team is a structured 3-agent AI development system designed for efficient, token-optimized coding tasks. It provides an Architect, Builder, and Reviewer to streamline AI-driven software development, built from production use.

## What's New — v1.2.4
  • highhomepage#2
    Add homepage URL to repository About section

    Why:

    COPY-PASTE FIX
    https://russellenvy.github.io/three-man-team/
  • mediumreadme#3
    Emphasize production readiness and practical application in README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'Production Ready & Battle-Tested' or 'Why Three Man Team for Production' that elaborates on its real-world application, token optimization, and how it's built from production use, perhaps with a short bulleted list of benefits for production environments.

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 russelleNVy/three-man-team
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. microsoft/autogen · recommended 1×
  3. joaomdmoura/crewai · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How to manage multiple AI agents for coding tasks efficiently and reduce token waste?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGen (microsoft/autogen)
    3. CrewAI (joaomdmoura/crewai)
    4. LlamaIndex (run-llama/llama_index)
    5. Haystack (deepset-ai/haystack)
    6. Open Interpreter (KillianLucas/open-interpreter)
    7. OpenAI Function Calling

    AI recommended 7 alternatives but never named russelleNVy/three-man-team. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a structured multi-agent system to streamline AI-driven software development projects.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. AgentGPT
    3. LangChain Agents
    4. CrewAI
    5. MetaGPT
    6. OpenDevin
    7. BabyAGI

    AI recommended 7 alternatives but never named russelleNVy/three-man-team. 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 russelleNVy/three-man-team?
    pass
    AI did not name russelleNVy/three-man-team — likely talking about a different project

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

  • If a team adopts russelleNVy/three-man-team in production, what risks or prerequisites should they evaluate first?
    pass
    AI named russelleNVy/three-man-team 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 russelleNVy/three-man-team solve, and who is the primary audience?
    pass
    AI did not name russelleNVy/three-man-team — likely talking about a different project

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

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russelleNVy/three-man-team — 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