RRepoGEO

REPOGEO REPORT · LITE

google-deepmind/concordia

Default branch main · commit 53773ebb · scanned 5/15/2026, 1:31:41 PM

GitHub: 1,422 stars · 322 forks

AI VISIBILITY SCORE
35 /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
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 google-deepmind/concordia, 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 to highlight LLM and Game Master pattern

    Why:

    CURRENT
    # Concordia
*A library for generative social simulation*
Concordia is a library for constructing and running generative agent-based models that simulate interactions among entities in grounded physical, social, or digital environments.
    COPY-PASTE FIX
    # Concordia
*A library for generative social simulation with LLM-powered agents and a Game Master pattern.*
Concordia is a library for constructing and running generative agent-based models, powered by Large Language Models (LLMs), that simulate interactions among entities in grounded physical, social, or digital environments using a unique Game Master pattern.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the URL for the official project homepage or documentation site to the repository's 'About' section.
  • lowtopics#3
    Expand repository topics with key differentiators and use cases

    Why:

    CURRENT
    agent-based-simulation, generative-agents, multi-agent, social-simulation
    COPY-PASTE FIX
    agent-based-simulation, generative-agents, multi-agent, social-simulation, llm, large-language-models, synthetic-data-generation

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 google-deepmind/concordia
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stanford Generative Agents
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stanford Generative Agents · recommended 1×
  2. LangChain · recommended 1×
  3. Mesa · recommended 1×
  4. NetLogo · recommended 1×
  5. GAMA Platform · recommended 1×
  • CATEGORY QUERY
    How to create generative agent models for simulating complex social interactions?
    you: not recommended
    AI recommended (in order):
    1. Stanford Generative Agents
    2. LangChain

    AI recommended 2 alternatives but never named google-deepmind/concordia. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework can simulate multi-agent social environments for synthetic data generation?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. NetLogo
    3. GAMA Platform
    4. Repast Simphony
    5. Anylogic

    AI recommended 5 alternatives but never named google-deepmind/concordia. 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 google-deepmind/concordia?
    pass
    AI named google-deepmind/concordia explicitly

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

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

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

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google-deepmind/concordia — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite