RRepoGEO

REPOGEO REPORT · LITE

crshdn/mission-control

Default branch main · commit e38a25a7 · scanned 5/26/2026, 4:32:11 PM

GitHub: 2,054 stars · 435 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 crshdn/mission-control, 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 README's opening statement to emphasize "Autonomous Product Engine" and its function.

    Why:

    CURRENT
    <em>The World's First Autonomous Product Engine</em>
    COPY-PASTE FIX
    <em>The World's First Autonomous Product Engine: AI agents research your market, generate features, and ship code as PRs.</em>
  • mediumtopics#2
    Add more specific topics related to AI-driven product development and software engineering.

    Why:

    CURRENT
    aiagent, automation, openclaw
    COPY-PASTE FIX
    aiagent, automation, openclaw, product-development, software-engineering, generative-ai, autonomous-agents, code-generation, pull-requests
  • lowcomparison#3
    Add a 'Comparison' or 'Why Mission Control?' section to the README.

    Why:

    COPY-PASTE FIX
    Add a section titled "Why Mission Control?" or "Comparison to X, Y, Z" that explicitly differentiates crshdn/mission-control from generic AI coding assistants (like CodiumAI) and traditional CI/CD platforms (like GitHub Actions/GitLab CI/CD), emphasizing its end-to-end autonomous product lifecycle management.

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 crshdn/mission-control
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CodiumAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CodiumAI · recommended 2×
  2. GitHub Actions · recommended 2×
  3. GitLab CI/CD · recommended 2×
  4. ChatGPT Enterprise · recommended 1×
  5. Google Gemini Advanced · recommended 1×
  • CATEGORY QUERY
    How can I fully automate product research, feature generation, and code delivery with AI agents?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Enterprise
    2. Google Gemini Advanced
    3. Perplexity AI
    4. Ahrefs
    5. Semrush
    6. GitHub Copilot Chat
    7. Cursor
    8. Axiom.ai
    9. Zapier
    10. Miro
    11. GitHub Copilot
    12. GitLab Duo
    13. CodiumAI
    14. OpenAI GPT-4
    15. Anthropic Claude
    16. Replit AI
    17. AWS CodeWhisperer
    18. Google Cloud Code
    19. Make.com
    20. Git (git/git)
    21. GitHub Actions
    22. GitLab CI/CD
    23. Jenkins (jenkinsci/jenkins)

    AI recommended 23 alternatives but never named crshdn/mission-control. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What self-hosted platforms use AI agents to automate software development and pull requests?
    you: not recommended
    AI recommended (in order):
    1. GitLab
    2. GitHub Enterprise Server
    3. Gerrit
    4. Ollama
    5. LM Studio
    6. Jenkins
    7. GitLab CI/CD
    8. GitHub Actions
    9. OpenDevin
    10. CodiumAI

    AI recommended 10 alternatives but never named crshdn/mission-control. 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 crshdn/mission-control?
    pass
    AI named crshdn/mission-control explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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