RRepoGEO

REPOGEO REPORT · LITE

tsinghua-fib-lab/AgentSociety

Default branch main · commit c8001a42 · scanned 6/27/2026, 11:21:36 AM

GitHub: 1,083 stars · 190 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
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 tsinghua-fib-lab/AgentSociety, 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
    Reposition the README's opening statement to highlight LLM-native social science simulation

    Why:

    CURRENT
    AgentSociety is a framework for building LLM-based agent simulations in urban environments and research workflows.
    COPY-PASTE FIX
    AgentSociety 2 is a modern, LLM-native agent simulation platform designed for large-scale social science research and experimental design, enabling the study of emergent behaviors from millions of LLM-driven agents.
  • mediumtopics#2
    Add more specific topics to bridge LLM and social science simulation

    Why:

    CURRENT
    agent, agent-based-modeling, agentsociety2, ai-assistants, ai-for-science, ai-social-scientist, harness-engineering, multi-agents, simulation, social-simulation
    COPY-PASTE FIX
    agent, agent-based-modeling, agentsociety2, ai-assistants, ai-for-science, ai-social-scientist, harness-engineering, multi-agents, simulation, social-simulation, llm-social-simulation, generative-agents-social-science, large-scale-multi-agent-simulation
  • lowreadme#3
    Ensure the core value proposition is immediately visible in the README

    Why:

    COPY-PASTE FIX
    Move the core descriptive paragraph (e.g., 'AgentSociety 2 is a modern, LLM-native agent simulation platform...') to be immediately visible after the main title, before any badges, links, or star history sections.

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 tsinghua-fib-lab/AgentSociety
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/autogen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/autogen · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. joaomdmoura/crewai · recommended 1×
  4. geekan-xyz/metagpt · recommended 1×
  5. javipalanca/spade · recommended 1×
  • CATEGORY QUERY
    How can I simulate social interactions using LLM-driven autonomous agents?
    you: not recommended
    AI recommended (in order):
    1. AutoGen (microsoft/autogen)
    2. LangChain (langchain-ai/langchain)
    3. CrewAI (joaomdmoura/crewai)
    4. MetaGPT (geekan-xyz/metagpt)
    5. SPADE (javipalanca/spade)
    6. Mesa (projectmesa/mesa)
    7. Pledge (stanford-oval/pledge)

    AI recommended 7 alternatives but never named tsinghua-fib-lab/AgentSociety. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for social science research using multi-agent simulations?
    you: not recommended
    AI recommended (in order):
    1. NetLogo
    2. Mesa
    3. Repast Simphony
    4. GAMA Platform
    5. AnyLogic
    6. Agents.jl

    AI recommended 6 alternatives but never named tsinghua-fib-lab/AgentSociety. 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 tsinghua-fib-lab/AgentSociety?
    pass
    AI named tsinghua-fib-lab/AgentSociety explicitly

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

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

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

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tsinghua-fib-lab/AgentSociety — 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