RRepoGEO

REPOGEO REPORT · LITE

dohooo/helmor

Default branch main · commit ab216f6f · scanned 6/16/2026, 5:57:27 PM

GitHub: 1,231 stars · 107 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 dohooo/helmor, 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 the README's introductory paragraph to be a direct product statement

    Why:

    CURRENT
    > AI made coding faster. > Helmor is about finishing the rest of the loop — orchestrating, reviewing, testing, merging, and actually shipping software.
    COPY-PASTE FIX
    Helmor is the local-first workbench for orchestrating multiple AI coding agents, designed to streamline the entire software development lifecycle from coding to shipping. It provides isolated workspaces, integrated code review, and one-click Git actions, all running locally to empower developers building with AI.
  • mediumreadme#2
    Add a 'Why Helmor?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Why Helmor? (Compared to X, Y, Z)' or '## How Helmor is Different'. This section should explain how Helmor is distinct from generic IDEs (VS Code), generic Git tools (GitHub PRs), and general orchestration tools (Docker Compose) by focusing on its specific role in AI agent orchestration and development lifecycle.
  • lowabout#3
    Enhance the repository's 'About' description for clarity

    Why:

    CURRENT
    Open-source local workbench for multi-agent software development.
    COPY-PASTE FIX
    Open-source local workbench for orchestrating, developing, and shipping multi-agent AI software. Features isolated workspaces, integrated code review, and one-click Git actions for coding agents.

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 dohooo/helmor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
docker/compose
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. docker/compose · recommended 1×
  2. VS Code (Visual Studio Code) · recommended 1×
  3. GitHub Pull Requests and Issues · recommended 1×
  4. GitLab Workflow · recommended 1×
  5. CodeStream · recommended 1×
  • CATEGORY QUERY
    Need a local development environment to manage and orchestrate multiple AI coding agents.
    you: not recommended
    AI recommended (in order):
    1. Docker Compose (docker/compose)

    AI recommended 1 alternative but never named dohooo/helmor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a local workbench for AI software development with built-in code review and git integration.
    you: not recommended
    AI recommended (in order):
    1. VS Code (Visual Studio Code)
    2. GitHub Pull Requests and Issues
    3. GitLab Workflow
    4. CodeStream
    5. Pylint
    6. Black
    7. Jupyter
    8. Python
    9. Pylance
    10. JetBrains PyCharm Professional
    11. GitHub Pull Requests
    12. GitLab Merge Requests
    13. Upsource
    14. NumPy
    15. SciPy
    16. Matplotlib
    17. JetBrains IntelliJ IDEA Ultimate
    18. GitHub Codespaces
    19. GitLab Web IDE
    20. Eclipse IDE
    21. EGit
    22. Mylyn
    23. Gerrit
    24. PyDev
    25. JupyterLab
    26. jupyter-git
    27. nbdime

    AI recommended 27 alternatives but never named dohooo/helmor. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 dohooo/helmor?
    pass
    AI named dohooo/helmor explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite