RRepoGEO

REPOGEO REPORT · LITE

mkturkcan/generative-agents

Default branch main · commit 95df22a9 · scanned 6/4/2026, 7:57:08 AM

GitHub: 994 stars · 165 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 mkturkcan/generative-agents, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumhomepage#1
    Add the repository URL as the project homepage

    Why:

    COPY-PASTE FIX
    https://github.com/mkturkcan/generative-agents
  • mediumtopics#2
    Add more specific topics to clarify the project's niche

    Why:

    CURRENT
    autonomous-agents, generative-agents
    COPY-PASTE FIX
    autonomous-agents, generative-agents, human-behavior-simulation, llm-agents-local, ai-simulation

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 mkturkcan/generative-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API (GPT-3.5/GPT-4)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API (GPT-3.5/GPT-4) · recommended 1×
  2. Character.AI · recommended 1×
  3. Inworld AI · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Unity ML-Agents · recommended 1×
  • CATEGORY QUERY
    How can I create interactive simulations of human behavior using generative AI models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (GPT-3.5/GPT-4)
    2. Character.AI
    3. Inworld AI
    4. Hugging Face Transformers
    5. Unity ML-Agents
    6. Unreal Engine
    7. Stanford's Generative Agents
    8. Smallville project

    AI recommended 8 alternatives but never named mkturkcan/generative-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source tools for building autonomous LLM-powered agents locally?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. LangChain
    4. LlamaIndex
    5. AgentGPT
    6. Open Interpreter
    7. CrewAI

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

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  • Brand-free category queries5 vs 2 in Lite
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