RRepoGEO

REPOGEO REPORT · LITE

FerroxLabs/agents-md

Default branch main · commit 90c7198c · scanned 6/4/2026, 4:12:12 PM

GitHub: 556 stars · 67 forks

AI VISIBILITY SCORE
28 /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
2 / 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 FerroxLabs/agents-md, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify purpose as a prompt/configuration file

    Why:

    CURRENT
    **One file. Every coding agent starts behaving like a senior engineer.**

Drop it into any repo. Claude Code, Codex, Cursor, or any coding agent in your project root. Paste this:
    COPY-PASTE FIX
    **One file. Every coding agent starts behaving like a senior engineer.**

This `AGENTS.md` file is a drop-in prompt and configuration that makes your existing coding agents (Claude Code, Codex, Cursor, Gemini CLI, Aider, Windsurf, Copilot, Devin) behave like senior engineers. No plugins. No config. No setup rituals. It just works.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://ferroxlabs.com

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 FerroxLabs/agents-md
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Azure OpenAI · recommended 1×
  3. AWS Bedrock · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Claude 3 Opus · recommended 1×
  • CATEGORY QUERY
    How can I make my AI coding assistant act like a senior engineer, not an eager intern?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Azure OpenAI
    3. AWS Bedrock
    4. Google Cloud Vertex AI
    5. Claude 3 Opus
    6. Llama 3
    7. LangChain
    8. LlamaIndex
    9. Code Llama
    10. GitHub Copilot Enterprise

    AI recommended 10 alternatives but never named FerroxLabs/agents-md. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a method to standardize AI coding agent behavior across multiple development environments.
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Docker Compose (docker/compose)
    3. Conda (conda/conda)
    4. Miniconda
    5. Nix (NixOS/nix)
    6. NixOS (NixOS/nixpkgs)
    7. Virtualenv (pypa/virtualenv)
    8. venv
    9. pip (pypa/pip)
    10. Git (git/git)
    11. Ansible (ansible/ansible)

    AI recommended 11 alternatives but never named FerroxLabs/agents-md. 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 FerroxLabs/agents-md?
    pass
    AI did not name FerroxLabs/agents-md — 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 FerroxLabs/agents-md in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FerroxLabs/agents-md 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 FerroxLabs/agents-md solve, and who is the primary audience?
    pass
    AI named FerroxLabs/agents-md explicitly

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

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FerroxLabs/agents-md — 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