RRepoGEO

REPOGEO REPORT · LITE

StanfordHCI/genagents

Default branch main · commit 96854071 · scanned 6/12/2026, 9:58:00 PM

GitHub: 559 stars · 153 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 StanfordHCI/genagents, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A novel agent architecture using LLMs and qualitative interviews to simulate the attitudes and behaviors of 1,000 real individuals for social science research.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agents, generative-ai, social-simulation, human-behavior, psychological-research, large-language-models, stanford-hci, ai-agents
  • mediumreadme#3
    Refine README's H1 to highlight unique LLM-powered, interview-based approach

    Why:

    CURRENT
    # genagents: Generative Agent Simulations of 1,000 People
    COPY-PASTE FIX
    # genagents: LLM-Powered Generative Agents for Simulating 1,000 Interviewed Individuals

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 StanfordHCI/genagents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mesa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mesa · recommended 1×
  2. NetLogo · recommended 1×
  3. Anylogic · recommended 1×
  4. PsychoPy · recommended 1×
  5. OpenAI Gym · recommended 1×
  • CATEGORY QUERY
    How can I simulate human social behavior for psychological research using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. NetLogo
    3. Anylogic
    4. PsychoPy
    5. OpenAI Gym
    6. Stable Baselines3
    7. Unity
    8. ML-Agents Toolkit
    9. GAMA Platform

    AI recommended 9 alternatives but never named StanfordHCI/genagents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a dataset or API for generative AI models simulating individual human responses?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Datasets
    2. OpenAI API
    3. Anthropic API
    4. Google Cloud AI
    5. Kaggle
    6. Stanford Question Answering Dataset (SQuAD)
    7. Cornell Movie-Dialogs Corpus

    AI recommended 7 alternatives but never named StanfordHCI/genagents. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 StanfordHCI/genagents?
    pass
    AI named StanfordHCI/genagents explicitly

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

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

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

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StanfordHCI/genagents — 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