RRepoGEO

REPOGEO REPORT · LITE

puaclaw/PUAClaw

Default branch main · commit c2e525d9 · scanned 5/16/2026, 9:52:26 AM

GitHub: 2,648 stars · 240 forks

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 puaclaw/PUAClaw, 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 clear, explicit opening statement to the README clarifying the project's purpose

    Why:

    COPY-PASTE FIX
    Add this as the very first content in your README, before any badges or warnings:

"PUAClaw is a satirical framework for exploring prompt-based persuasion and unconventional rhetoric in large language models (LLMs) and AI agents. The 'PUA' in our name is a metaphor for advanced prompt engineering, not literal 'Pick-Up Artist' content."
  • hightopics#2
    Add more specific LLM and AI agent related topics

    Why:

    CURRENT
    agent, openclaw
    COPY-PASTE FIX
    agent, openclaw, llm, prompt-engineering, ai-agents, large-language-models, persuasion-ai, prompt-engineering-framework
  • mediumabout#3
    Update the repository description to be more explicit about its LLM/AI agent nature

    Why:

    CURRENT
    Claw 们终将接管世界，PUAClaw is All You Need
    COPY-PASTE FIX
    A satirical framework for prompt-based persuasion and unconventional rhetoric in large language models (LLMs) and AI agents.

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 puaclaw/PUAClaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    What open-source frameworks are available for building and deploying AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. OpenAI Assistants API
    6. AgentVerse (OpenBMB/AgentVerse)
    7. BabyAGI (yoheinakajima/babyagi)

    AI recommended 7 alternatives but never named puaclaw/PUAClaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI framework for experimenting with advanced adaptive agent behaviors.
    you: not recommended
    AI recommended (in order):
    1. PettingZoo
    2. RLlib
    3. OpenSpiel
    4. Gymnasium
    5. Stable Baselines3
    6. Mesa

    AI recommended 6 alternatives but never named puaclaw/PUAClaw. 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 puaclaw/PUAClaw?
    pass
    AI named puaclaw/PUAClaw explicitly

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

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

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

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puaclaw/PUAClaw — 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