RRepoGEO

REPOGEO REPORT · LITE

LYiHub/liars-bar-llm

Default branch main · commit 07199bd3 · scanned 5/30/2026, 10:02:34 AM

GitHub: 660 stars · 119 forks

AI VISIBILITY SCORE
22 /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
1 / 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 LYiHub/liars-bar-llm, 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 an explicit English description to the README's opening

    Why:

    CURRENT
    # Liars Bar LLM

一个由大语言模型驱动的AI版骗子酒馆对战框架
    COPY-PASTE FIX
    # Liars Bar LLM

一个由大语言模型驱动的AI版骗子酒馆对战框架

A framework for simulating and analyzing Large Language Model (LLM) agents playing the competitive deception game "Liars' Bar".
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agents, multi-agent-systems, game-simulation, deception-game, llm-evaluation, ai-research, python
  • mediumreadme#3
    Add a concise statement of purpose for researchers in the README

    Why:

    COPY-PASTE FIX
    This framework is designed for AI researchers to systematically study and evaluate Large Language Model (LLM) behavior in strategic, multi-agent interactions involving deception and complex decision-making.

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 LYiHub/liars-bar-llm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. AutoGen · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I simulate multiple large language model agents playing a competitive game?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. OpenAI Assistants API
    5. Haystack
    6. OpenAI API
    7. Anthropic API
    8. Google API
    9. Langroid

    AI recommended 9 alternatives but never named LYiHub/liars-bar-llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to analyze LLM agent interactions in simulated environments.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AgentVerse
    4. OpenAI Evals
    5. TRLX
    6. Gymnasium
    7. Mesa

    AI recommended 7 alternatives but never named LYiHub/liars-bar-llm. 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 LYiHub/liars-bar-llm?
    pass
    AI did not name LYiHub/liars-bar-llm — 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 LYiHub/liars-bar-llm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LYiHub/liars-bar-llm 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 LYiHub/liars-bar-llm solve, and who is the primary audience?
    pass
    AI did not name LYiHub/liars-bar-llm — 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?

Embed your GEO score

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LYiHub/liars-bar-llm — 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