RRepoGEO

REPOGEO REPORT · LITE

buildermethods/agent-os

Default branch main · commit cae8e664 · scanned 5/10/2026, 5:37:00 AM

GitHub: 4,482 stars · 722 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 buildermethods/agent-os, 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
  • hightopics#1
    Add descriptive topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, code-standards, spec-driven-development, llm-tools, code-quality, generative-ai, developer-tools
  • highreadme#2
    Clarify AI-powered positioning in README's opening

    Why:

    CURRENT
    ## Agents that build the way you would

Agent OS helps you shape better specs, keeps agents aligned in a lightweight system that fits how you already build.

Works alongside Claude Code, Cursor, Antigravity, and other AI tools. Any language, any framework.
    COPY-PASTE FIX
    ## Agent OS: AI-powered standards & spec enforcement for your codebase

Agent OS is a system designed to inject your codebase standards and write better specs for spec-driven development, leveraging AI to ensure consistency and quality. It helps you shape better specs and keeps AI agents aligned with your unique development practices.

Works alongside Claude Code, Cursor, Antigravity, and other AI tools. Any language, any framework.
  • mediumreadme#3
    Add a 'How Agent OS is Different' section to clarify its unique role

    Why:

    COPY-PASTE FIX
    ### How Agent OS is Different

Unlike general-purpose AI coding assistants or static analysis tools, Agent OS provides a dedicated system for *defining, deploying, and indexing your unique codebase standards* specifically for AI agents. It acts as the 'operating system' that guides other AI tools (like Claude Code, Cursor, etc.) to build in alignment with your established practices, rather than replacing them.

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 buildermethods/agent-os
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 1×
  2. DeepSource · recommended 1×
  3. CodeClimate · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. eslint/eslint · recommended 1×
  • CATEGORY QUERY
    How can AI help enforce coding standards and best practices across my codebase?
    you: not recommended
    AI recommended (in order):
    1. SonarQube
    2. DeepSource
    3. CodeClimate
    4. GitHub Copilot
    5. ESLint (eslint/eslint)
    6. Black (psf/black)
    7. Prettier (prettier/prettier)
    8. Codiga

    AI recommended 8 alternatives but never named buildermethods/agent-os. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools assist with maintaining consistent development standards and improving spec quality?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Generator (OpenAPITools/openapi-generator)
    2. Spectral (stoplightio/spectral)
    3. Stoplight Studio
    4. Swagger UI / ReDoc
    5. Postman
    6. GitHub Actions / GitLab CI/CD

    AI recommended 6 alternatives but never named buildermethods/agent-os. 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 buildermethods/agent-os?
    pass
    AI did not name buildermethods/agent-os — 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 buildermethods/agent-os in production, what risks or prerequisites should they evaluate first?
    pass
    AI named buildermethods/agent-os 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 buildermethods/agent-os solve, and who is the primary audience?
    pass
    AI did not name buildermethods/agent-os — 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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  • Brand-free category queries5 vs 2 in Lite
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