RRepoGEO

REPOGEO REPORT · LITE

abhi1693/openclaw-mission-control

Default branch master · commit 75eb8b08 · scanned 5/25/2026, 7:47:46 PM

GitHub: 3,992 stars · 824 forks

AI VISIBILITY SCORE
28 /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
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 abhi1693/openclaw-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
    Align README H1 intro with "AI Agent Orchestration Dashboard" description

    Why:

    CURRENT
    OpenClaw Mission Control is the centralized operations and governance platform for running OpenClaw across teams and organizations, with unified visibility, approval controls, and gateway-aware orchestration.
    COPY-PASTE FIX
    OpenClaw Mission Control is the **AI Agent Orchestration Dashboard** and centralized operations and governance platform for running **AI agents** across teams and organizations, with unified visibility, approval controls, and gateway-aware orchestration.
  • highhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    [URL to the project's main website or a live demo]
  • mediumtopics#3
    Add more specific topics related to AI agent dashboards and management

    Why:

    CURRENT
    ai-agents, automation, openclaw, orchestration
    COPY-PASTE FIX
    ai-agents, automation, openclaw, orchestration, dashboard, management, control-plane, multi-agent

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 abhi1693/openclaw-mission-control
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. Haystack · recommended 1×
  3. AutoGPT · recommended 1×
  4. CrewAI · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How can I effectively manage and orchestrate multiple AI agents for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Haystack
    3. AutoGPT
    4. CrewAI
    5. Microsoft Semantic Kernel
    6. OpenAI Assistants API
    7. BabyAGI

    AI recommended 7 alternatives but never named abhi1693/openclaw-mission-control. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide a centralized dashboard for AI agent operations and task assignment?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (now LangSmith)
    2. Humanloop
    3. Weights & Biases (W&B)
    4. MLflow (mlflow/mlflow)
    5. Grafana (grafana/grafana)
    6. Datadog

    AI recommended 6 alternatives but never named abhi1693/openclaw-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
    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 abhi1693/openclaw-mission-control?
    pass
    AI named abhi1693/openclaw-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 abhi1693/openclaw-mission-control in production, what risks or prerequisites should they evaluate first?
    pass
    AI named abhi1693/openclaw-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 abhi1693/openclaw-mission-control solve, and who is the primary audience?
    pass
    AI did not name abhi1693/openclaw-mission-control — 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?

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abhi1693/openclaw-mission-control — 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