RRepoGEO

REPOGEO REPORT · LITE

anomalyco/opencontrol

Default branch dev · commit e346e56f · scanned 6/9/2026, 5:57:15 PM

GitHub: 748 stars · 47 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 anomalyco/opencontrol, 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 opening sentence to clarify core purpose

    Why:

    CURRENT
    OpenControl lets you control your infrastructure with AI.
    COPY-PASTE FIX
    OpenControl is a self-hosted framework that creates a unified HTTP gateway, enabling AI models to securely call internal tools and functions to automate your infrastructure.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-automation, llm-tools, tool-calling, infrastructure-as-code, api-gateway, serverless, cloud-automation, ai-agents
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    ⏣ Control your infrastructure with AI.
    COPY-PASTE FIX
    Self-hosted framework for AI models to securely call internal tools and automate cloud infrastructure via a unified API gateway.

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 anomalyco/opencontrol
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 1×
  2. Splunk Enterprise Security (ES) · recommended 1×
  3. Wiz · recommended 1×
  4. Palo Alto Networks Prisma Cloud · recommended 1×
  5. Lacework · recommended 1×
  • CATEGORY QUERY
    How can I use AI models to automate and manage my cloud infrastructure securely?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Splunk Enterprise Security (ES)
    3. Wiz
    4. Palo Alto Networks Prisma Cloud
    5. Lacework
    6. AWS Security Hub
    7. Azure Security Center
    8. Google Cloud Security Command Center
    9. TensorFlow
    10. PyTorch

    AI recommended 10 alternatives but never named anomalyco/opencontrol. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help expose internal APIs and functions to large language models for automation?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Specification
    2. Swagger
    3. AWS API Gateway
    4. Azure API Management
    5. Google Cloud Apigee
    6. Kong Gateway
    7. LangChain
    8. LlamaIndex
    9. OpenAI Function Calling
    10. OpenAI
    11. Anthropic
    12. Google Gemini
    13. Zapier NLA
    14. Zapier
    15. Microsoft Semantic Kernel
    16. Microsoft

    AI recommended 16 alternatives but never named anomalyco/opencontrol. 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 anomalyco/opencontrol?
    pass
    AI named anomalyco/opencontrol explicitly

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

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

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

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