RRepoGEO

REPOGEO REPORT · LITE

penso/arbor

Default branch main · commit d8d82b7e · scanned 6/16/2026, 4:02:32 PM

GitHub: 760 stars · 35 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 penso/arbor, 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 the README's opening statement for clarity

    Why:

    CURRENT
    Arbor is a **fully native app for agentic coding** built with Rust and GPUI. It gives you one place to manage repositories, issue-driven worktrees, embedded terminals, managed processes, diffs, PR context, AI coding agent activity, and a shared daemon that also powers Arbor's web UI, CLI, and MCP server.
    COPY-PASTE FIX
    Arbor is a **native desktop application for agentic coding workflows**, built with Rust and GPUI. It provides a unified local development environment for managing Git worktrees, embedded terminals, diffs, and AI coding agent activity, designed for developers who need a fast, integrated tool for parallel coding sessions.
  • mediumabout#2
    Refine the repository description for better AI understanding

    Why:

    CURRENT
    Run agentic coding workflows in a fully native desktop app for Git worktrees, terminals, and diffs.
    COPY-PASTE FIX
    A native desktop developer tool for agentic coding, managing Git worktrees, terminals, and diffs in a unified local environment.

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 penso/arbor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
JetBrains IDEs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. JetBrains IDEs · recommended 2×
  2. GitKraken · recommended 2×
  3. microsoft/vscode · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    What are the best native desktop tools for managing AI-powered coding workflows and Git worktrees?
    you: not recommended
    AI recommended (in order):
    1. VS Code (Visual Studio Code) (microsoft/vscode)
    2. GitHub Copilot
    3. Tabnine
    4. CodeWhisperer
    5. GitLens (gitkraken/vscode-gitlens)
    6. JetBrains IDEs
    7. GitKraken
    8. Sublime Text
    9. LazyGit (jesseduffield/lazygit)

    AI recommended 9 alternatives but never named penso/arbor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a local development environment to manage multiple Git worktrees, terminals, and diffs.
    you: not recommended
    AI recommended (in order):
    1. VS Code
    2. GitLens
    3. JetBrains IDEs
    4. IntelliJ IDEA Ultimate
    5. WebStorm
    6. PyCharm
    7. Neovim
    8. Vim
    9. fugitive.vim
    10. git-worktree.nvim
    11. Tmux
    12. Git CLI
    13. Meld
    14. Beyond Compare
    15. KDiff3
    16. GitHub Desktop
    17. GitKraken

    AI recommended 17 alternatives but never named penso/arbor. 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 penso/arbor?
    pass
    AI named penso/arbor explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of penso/arbor. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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penso/arbor — 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