RRepoGEO

REPOGEO REPORT · LITE

jlcodes99/cockpit-tools

Default branch main · commit 253cc1b7 · scanned 5/8/2026, 10:11:19 AM

GitHub: 6,823 stars · 623 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 jlcodes99/cockpit-tools, 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
    Clarify the project's domain in the README H1 to prevent name collision

    Why:

    CURRENT
    # Cockpit Tools
    COPY-PASTE FIX
    # Cockpit Tools: Universal AI IDE Account Manager
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Add more specific topics to reinforce core functionalities

    Why:

    CURRENT
    account-manager, ai, antigravity, codebuddy, codex, cursor, github-copilot, kiro, windsurf
    COPY-PASTE FIX
    account-manager, ai, antigravity, codebuddy, codex, cursor, github-copilot, kiro, windsurf, ai-coding-assistant, quota-monitoring, multi-account, multi-instance

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 jlcodes99/cockpit-tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Chrome · recommended 1×
  3. Firefox · recommended 1×
  4. Edge · recommended 1×
  5. Brave · recommended 1×
  • CATEGORY QUERY
    How can I manage and switch between multiple generative AI coding assistant accounts efficiently?
    you: not recommended
    AI recommended (in order):
    1. Chrome
    2. Firefox
    3. Edge
    4. Brave
    5. Station
    6. Rambox
    7. Franz
    8. Shift
    9. GitHub Copilot
    10. VS Code
    11. JetBrains IDEs
    12. IntelliJ IDEA
    13. PyCharm
    14. Neovim
    15. OpenAI API
    16. Anthropic API
    17. direnv
    18. python-dotenv
    19. dotenv
    20. Docker

    AI recommended 20 alternatives but never named jlcodes99/cockpit-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a utility to monitor AI coding tool quotas and run multiple instances concurrently.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Prometheus
    5. Grafana
    6. Flask
    7. FastAPI
    8. Express.js
    9. Kubernetes

    AI recommended 9 alternatives but never named jlcodes99/cockpit-tools. 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 jlcodes99/cockpit-tools?
    pass
    AI named jlcodes99/cockpit-tools explicitly

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

  • If a team adopts jlcodes99/cockpit-tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jlcodes99/cockpit-tools 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 jlcodes99/cockpit-tools solve, and who is the primary audience?
    pass
    AI named jlcodes99/cockpit-tools 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 jlcodes99/cockpit-tools. 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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  • Brand-free category queries5 vs 2 in Lite
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