RRepoGEO

REPOGEO REPORT · LITE

freddy-schuetz/n8n-claw

Default branch main · commit b52894a3 · scanned 6/20/2026, 6:58:01 PM

GitHub: 525 stars · 99 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 freddy-schuetz/n8n-claw, 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
    Add a concise, direct value proposition sentence to the README

    Why:

    CURRENT
    # n8n-claw — Self-Hosted AI Agent

A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram or HTTP API (Slack, Teams, custom apps), builds its own MCP tools, manages reminders and memory — all running on your own infrastructure.
    COPY-PASTE FIX
    # n8n-claw — Self-Hosted AI Agent

n8n-claw is a fully autonomous, self-hosted AI agent designed for proactive task management, adaptive memory, and expert delegation, all powered by n8n.

A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram or HTTP API (Slack, Teams, custom apps), builds its own MCP tools, manages reminders and memory — all running on your own infrastructure.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clearly define usage rights.
  • mediumtopics#3
    Add 'rag' and 'vector-database' to repository topics

    Why:

    CURRENT
    agent, ai, ai-agent, ai-agent-framework, ai-agents, ai-agents-framework, crawl4ai, crawl4ai-scraper, framework, mcp, modelcontextprotocol, n8n, openclaw, searxng, searxng-engine, skills, supabase
    COPY-PASTE FIX
    agent, ai, ai-agent, ai-agent-framework, ai-agents, ai-agents-framework, crawl4ai, crawl4ai-scraper, framework, mcp, modelcontextprotocol, n8n, openclaw, rag, searxng, searxng-engine, skills, supabase, vector-database

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 freddy-schuetz/n8n-claw
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. LlamaIndex · recommended 1×
  3. ChromaDB · recommended 1×
  4. Weaviate · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I build a self-hosted autonomous AI agent with memory and proactive task management?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. ChromaDB
    4. Weaviate
    5. Pinecone
    6. Hugging Face Transformers
    7. Llama.cpp
    8. Ollama
    9. Prefect
    10. Apache Airflow
    11. FastAPI
    12. Flask

    AI recommended 12 alternatives but never named freddy-schuetz/n8n-claw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for creating AI agents that integrate with workflow automation and messaging platforms?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    3. LlamaIndex (run-llama/llama_index)
    4. Botpress (botpress/botpress)
    5. Voiceflow
    6. Zapier
    7. Make

    AI recommended 7 alternatives but never named freddy-schuetz/n8n-claw. 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 freddy-schuetz/n8n-claw?
    pass
    AI named freddy-schuetz/n8n-claw explicitly

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

  • If a team adopts freddy-schuetz/n8n-claw in production, what risks or prerequisites should they evaluate first?
    pass
    AI named freddy-schuetz/n8n-claw 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 freddy-schuetz/n8n-claw solve, and who is the primary audience?
    pass
    AI named freddy-schuetz/n8n-claw explicitly

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

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freddy-schuetz/n8n-claw — 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