RRepoGEO

REPOGEO REPORT · LITE

klawsh/klaw.sh

Default branch main · commit 4c76a863 · scanned 6/8/2026, 7:31:57 PM

GitHub: 629 stars · 40 forks

AI VISIBILITY SCORE
33 /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
2 / 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 klawsh/klaw.sh, 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 README opening to prioritize 'AI Agents' over 'kubectl' analogy

    Why:

    CURRENT
    <p align="center"><strong>kubectl for AI Agents</strong></p>
<p align="center">Enterprise AI agent orchestration. Manage, monitor, and scale your AI workforce.<br/>One binary. Deploys in seconds. Scales to hundreds of agents.</p>
    COPY-PASTE FIX
    <p align="center"><strong>Enterprise AI Agent Orchestration</strong></p>
<p align="center">klaw is like kubectl, but specifically designed for managing, monitoring, and scaling your AI workforce.<br/>One binary. Deploys in seconds. Scales to hundreds of agents.</p>
  • mediumtopics#2
    Expand topics to include AI agent management and deployment terms

    Why:

    CURRENT
    agents, ai-agents, orchestration
    COPY-PASTE FIX
    agents, ai-agents, orchestration, ai-agent-management, ai-agent-deployment, ai-agent-monitoring, enterprise-ai
  • lowreadme#3
    Add explicit license clarification to README

    Why:

    COPY-PASTE FIX
    ## License

klaw.sh is distributed under [describe your specific license terms here, e.g., "a custom license combining elements of X and Y"]. Please see the [LICENSE](LICENSE) file for full details.

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 klawsh/klaw.sh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 2×
  2. Databricks Lakehouse Platform · recommended 1×
  3. Unity Catalog · recommended 1×
  4. Azure Machine Learning · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How can I effectively manage and monitor multiple AI agents across my enterprise?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. MLflow
    3. Unity Catalog
    4. Azure Machine Learning
    5. Google Cloud Vertex AI
    6. Vertex AI Workbench
    7. Vertex AI Model Registry
    8. Vertex AI Endpoints
    9. Vertex AI Monitoring
    10. Amazon SageMaker
    11. SageMaker Experiments
    12. SageMaker Model Registry
    13. SageMaker Endpoints
    14. SageMaker Model Monitor
    15. Kubernetes
    16. Kubeflow
    17. Kubeflow Pipelines
    18. KFServing
    19. Katib
    20. Weights & Biases
    21. MLRun

    AI recommended 21 alternatives but never named klawsh/klaw.sh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help deploy and scale a workforce of autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (K8s)
    2. KubeFlow
    3. Ray
    4. OpenAI Gym/Farama Foundation Gymnasium
    5. MLflow
    6. AWS Step Functions
    7. Azure Logic Apps
    8. Google Cloud Workflows
    9. Apache Kafka
    10. Docker Swarm

    AI recommended 10 alternatives but never named klawsh/klaw.sh. 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 klawsh/klaw.sh?
    pass
    AI did not name klawsh/klaw.sh — likely talking about a different project

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

  • If a team adopts klawsh/klaw.sh in production, what risks or prerequisites should they evaluate first?
    pass
    AI named klawsh/klaw.sh 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 klawsh/klaw.sh solve, and who is the primary audience?
    pass
    AI named klawsh/klaw.sh 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 klawsh/klaw.sh. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/klawsh/klaw.sh.svg)](https://repogeo.com/en/r/klawsh/klaw.sh)
HTML
<a href="https://repogeo.com/en/r/klawsh/klaw.sh"><img src="https://repogeo.com/badge/klawsh/klaw.sh.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

klawsh/klaw.sh — 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