RRepoGEO

REPOGEO REPORT · LITE

lynaghk/vibe

Default branch main · commit 3f501a79 · scanned 6/4/2026, 8:07:06 PM

GitHub: 923 stars · 52 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 lynaghk/vibe, 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
    Reinforce the README's opening statement for clarity

    Why:

    CURRENT
    Vibe is a quick, zero-configuration way to spin up a Linux virtual machine on Mac to sandbox LLM agents:
    COPY-PASTE FIX
    Vibe: Your quick, zero-configuration Linux virtual machine on Mac, purpose-built for securely sandboxing LLM agents and their experiments.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/lynaghk/vibe

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 lynaghk/vibe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OrbStack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OrbStack · recommended 2×
  2. utmapp/UTM · recommended 1×
  3. canonical/multipass · recommended 1×
  4. VirtualBox · recommended 1×
  5. Parallels Desktop for Mac · recommended 1×
  • CATEGORY QUERY
    How to quickly set up a Linux VM on macOS for AI agent development?
    you: not recommended
    AI recommended (in order):
    1. UTM (utmapp/UTM)
    2. OrbStack
    3. Multipass (canonical/multipass)
    4. VirtualBox
    5. Parallels Desktop for Mac
    6. VMware Fusion Player

    AI recommended 6 alternatives but never named lynaghk/vibe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an easy way to sandbox LLM agents in a lightweight Linux environment on Mac.
    you: not recommended
    AI recommended (in order):
    1. Docker Desktop
    2. Alpine Linux
    3. Ubuntu Minimal
    4. Lima
    5. Multipass
    6. OrbStack
    7. Podman Desktop

    AI recommended 7 alternatives but never named lynaghk/vibe. 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 lynaghk/vibe?
    pass
    AI named lynaghk/vibe explicitly

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

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

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

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lynaghk/vibe — 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