RRepoGEO

REPOGEO REPORT · LITE

mergisi/awesome-openclaw-agents

Default branch main · commit 4c88d7cf · scanned 5/14/2026, 10:36:48 AM

GitHub: 3,353 stars · 551 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 mergisi/awesome-openclaw-agents, 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 emphasize deployable business automation agents

    Why:

    CURRENT
    > A curated collection of **205 production-ready AI agent templates** for the OpenClaw ecosystem. Every template is a copy-paste ready `SOUL.md` file.
    COPY-PASTE FIX
    > A curated collection of **205 production-ready AI agent templates** for the OpenClaw ecosystem, designed for quick deployment in business automation tasks via Docker. Every template is a copy-paste ready `SOUL.md` file.
  • mediumtopics#2
    Add specific topics for business automation and agent deployment

    Why:

    CURRENT
    ai-agent-templates, ai-agents, ai-automation, anthropic, automation, awesome, awesome-list, claude, community-agents, crewclaw, docker, llm, mcp, multi-agent, no-code, openclaw, productivity, soul-md, submit-your-agent, telegram-bot
    COPY-PASTE FIX
    ai-agent-templates, ai-agents, ai-automation, anthropic, automation, awesome, awesome-list, business-automation, claude, community-agents, crewclaw, deployable-agents, docker, llm, mcp, multi-agent, no-code, openclaw, productivity, soul-md, submit-your-agent, telegram-bot
  • lowabout#3
    Refine repository description for clarity on deployable agents

    Why:

    CURRENT
    162 production-ready AI agent templates for OpenClaw. SOUL.md configs across 19 categories. Submit yours!
    COPY-PASTE FIX
    A curated collection of production-ready AI agent templates for OpenClaw, designed for quick deployment in business automation tasks. SOUL.md configs across many categories. Submit yours!

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 mergisi/awesome-openclaw-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Power Automate
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Power Automate · recommended 1×
  2. AI Builder · recommended 1×
  3. Zapier · recommended 1×
  4. Google Cloud Dialogflow CX · recommended 1×
  5. Google Cloud Document AI · recommended 1×
  • CATEGORY QUERY
    How to quickly deploy pre-built AI agents for various business automation tasks?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Power Automate
    2. AI Builder
    3. Zapier
    4. Google Cloud Dialogflow CX
    5. Google Cloud Document AI
    6. UiPath Automation Cloud
    7. UiPath AI Center
    8. AWS AI Services
    9. Amazon Comprehend
    10. Amazon Textract
    11. Amazon Rekognition
    12. Make

    AI recommended 12 alternatives but never named mergisi/awesome-openclaw-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find configurable multi-agent AI solutions for easy deployment with Docker?
    you: not recommended
    AI recommended (in order):
    1. Mesa (projectmesa/mesa)
    2. PNPy (pnp-team/PNPy)
    3. PIPE2 (pipe2/pipe2)
    4. Anylogic
    5. NetLogo (NetLogo/NetLogo)
    6. Gymnasium (Farama-Foundation/Gymnasium)
    7. FLAME (FLAME-ABM/FLAME)

    AI recommended 7 alternatives but never named mergisi/awesome-openclaw-agents. 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 mergisi/awesome-openclaw-agents?
    pass
    AI did not name mergisi/awesome-openclaw-agents — 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 mergisi/awesome-openclaw-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mergisi/awesome-openclaw-agents 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 mergisi/awesome-openclaw-agents solve, and who is the primary audience?
    pass
    AI named mergisi/awesome-openclaw-agents explicitly

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

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mergisi/awesome-openclaw-agents — 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