RRepoGEO

REPOGEO REPORT · LITE

GreenSheep01201/claw-empire

Default branch main · commit 66a24ea7 · scanned 6/25/2026, 5:31:42 AM

GitHub: 1,299 stars · 262 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 GreenSheep01201/claw-empire, 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
    Clarify the "What is Claw-Empire?" section to emphasize its role as an AI agent orchestration platform.

    Why:

    CURRENT
    The "What is Claw-Empire?" section starts with a truncated sentence, allowing for misinterpretation.
    COPY-PASTE FIX
    ## What is Claw-Empire?
Claw-Empire is a robust, local-first platform for orchestrating and managing an empire of AI agents, designed for developers and businesses to simulate and operate autonomous AI companies. It enables the integration of CLI, OAuth, and API-connected providers like Claude Code, Codex CLI, and Gemini CLI into a virtual autonomous enterprise.
  • hightopics#2
    Add broader, more accurate topics and correct the typo to improve category visibility.

    Why:

    CURRENT
    agentic-workflow, agents, ochestration, openclaw, openclaw-agent, openclaw-extension, openclaw-plugin
    COPY-PASTE FIX
    ai-agents, agent-orchestration, multi-agent-system, ai-simulation, autonomous-agents, cli-agents, api-agents, local-first, agentic-workflow, agents, orchestration, openclaw, openclaw-agent, openclaw-extension, openclaw-plugin
  • mediumhomepage#3
    Add the repository URL as the homepage in the About section.

    Why:

    COPY-PASTE FIX
    https://github.com/GreenSheep01201/claw-empire

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 GreenSheep01201/claw-empire
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. Ollama · recommended 1×
  3. Llama.cpp · recommended 1×
  4. llama-cpp-python · recommended 1×
  5. SQLite · recommended 1×
  • CATEGORY QUERY
    How can I set up a local-first system to orchestrate multiple AI agents for business tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Ollama
    3. Llama.cpp
    4. llama-cpp-python
    5. SQLite
    6. ChromaDB
    7. FAISS
    8. AutoGen
    9. CrewAI
    10. Haystack
    11. InMemoryDocumentStore
    12. requests
    13. DuckDB
    14. Annoy

    AI recommended 14 alternatives but never named GreenSheep01201/claw-empire. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help simulate an autonomous AI agent company, integrating various AI models and APIs?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT (Significant-Gravitas/AutoGPT)
    2. LangChain (langchain-ai/langchain)
    3. CrewAI (joaomdmoura/crewAI)
    4. OpenAI Assistants API
    5. AgentVerse (OpenBMB/AgentVerse)
    6. Haystack (deepset-ai/haystack)
    7. BabyAGI (yoheinakajima/babyagi)

    AI recommended 7 alternatives but never named GreenSheep01201/claw-empire. 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 GreenSheep01201/claw-empire?
    pass
    AI named GreenSheep01201/claw-empire explicitly

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

  • If a team adopts GreenSheep01201/claw-empire in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GreenSheep01201/claw-empire 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 GreenSheep01201/claw-empire solve, and who is the primary audience?
    pass
    AI named GreenSheep01201/claw-empire explicitly

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

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GreenSheep01201/claw-empire — 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