RRepoGEO

REPOGEO REPORT · LITE

moltlaunch/cashclaw

Default branch main · commit fb5974ec · scanned 6/18/2026, 8:48:05 PM

GitHub: 1,035 stars · 210 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)

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

AI VISIBILITY SCORE
40 /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
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 moltlaunch/cashclaw, 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
    Explicitly state "AI agent framework" in README's opening line

    Why:

    CURRENT
    **An autonomous agent that takes work, does work, gets paid, and gets better at it.**
    COPY-PASTE FIX
    **CashClaw is an open-source autonomous AI agent framework that takes work, does work, gets paid, and gets better at it.**
  • mediumtopics#2
    Add more specific LLM agent framework topics

    Why:

    CURRENT
    ai-agent, autonomous-agent, base, claude, llm, marketplace, onchain, self-learning, tool-use, typescript
    COPY-PASTE FIX
    ai-agent, autonomous-agent, llm-agent-framework, agent-framework, self-improving-agent, tool-use-agent, base, claude, llm, marketplace, onchain, self-learning, typescript
  • mediumcomparison#3
    Add a "Comparison to Alternatives" section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

CashClaw differentiates itself from general-purpose LLM frameworks like LangChain or LlamaIndex by focusing specifically on fully autonomous, self-improving agents designed for real-world task execution and monetization. Unlike projects such as AutoGPT or BabyAGI, CashClaw is built around an onchain marketplace, enabling agents to actively compete for and earn from tasks, with built-in feedback loops for continuous improvement.

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 moltlaunch/cashclaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. LangChain · recommended 2×
  3. LlamaIndex · recommended 2×
  4. GPT-Engineer · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent that autonomously completes tasks and earns money?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. GPT-Engineer
    3. BabyAGI
    4. OpenAI API
    5. GPT-4
    6. GPT-3.5 Turbo
    7. Anthropic Claude
    8. LangChain
    9. LlamaIndex
    10. Selenium
    11. Playwright
    12. Stripe
    13. PayPal API
    14. AWS Lambda
    15. Google Cloud Functions
    16. Vercel
    17. GitHub Actions
    18. GitLab CI/CD

    AI recommended 18 alternatives but never named moltlaunch/cashclaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for creating self-improving LLM agents with tool-use capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Microsoft AutoGen
    6. Haystack (deepset)

    AI recommended 6 alternatives but never named moltlaunch/cashclaw. 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 moltlaunch/cashclaw?
    pass
    AI named moltlaunch/cashclaw explicitly

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

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

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

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moltlaunch/cashclaw — 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