RRepoGEO

REPOGEO REPORT · LITE

a16z-infra/ai-town

Default branch main · commit 2693ed69 · scanned 5/30/2026, 2:23:33 AM

GitHub: 9,930 stars · 1,100 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 a16z-infra/ai-town, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, multi-agent-simulation, generative-ai, llm-agents, javascript, typescript, full-stack, starter-kit, convex, virtual-world
  • highreadme#2
    Reposition the opening paragraph to clarify project type and differentiator

    Why:

    CURRENT
    AI Town is a virtual town where AI characters live, chat and socialize.

This project is a deployable starter kit for easily building and customizing your own version of AI town.
    COPY-PASTE FIX
    AI Town is a full-stack, real-time, multiplayer web application and deployable starter kit for building and customizing your own virtual town where AI characters live, chat and socialize. It provides a robust JS/TS framework for creating interactive, LLM-driven AI agent simulations.
  • mediumreadme#3
    Add a concise 'Problem Solved' or 'Audience' statement

    Why:

    COPY-PASTE FIX
    ## What AI Town Solves
AI Town provides a ready-to-extend platform for developers and researchers to build and experiment with persistent, interactive multi-agent AI simulations, especially those seeking a full-stack JavaScript/TypeScript solution.

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 a16z-infra/ai-town
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 1×
  2. Unity-Technologies/ml-agents · recommended 1×
  3. Behavior Designer · recommended 1×
  4. Unreal Engine · recommended 1×
  5. MetaHuman · recommended 1×
  • CATEGORY QUERY
    How to create a virtual environment for AI characters to interact and socialize?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. ML-Agents (Unity-Technologies/ml-agents)
    3. Behavior Designer
    4. Unreal Engine
    5. MetaHuman
    6. Godot Engine (godotengine/godot)
    7. OpenAI Gym (openai/gym)
    8. Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
    9. Minecraft
    10. Project Malmo (Microsoft/malmo)
    11. Roblox Studio
    12. Python
    13. Pygame (pygame/pygame)
    14. Panda3D (panda3d/panda3d)

    AI recommended 14 alternatives but never named a16z-infra/ai-town. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a JavaScript framework to build a multi-agent simulation or generative AI world.
    you: not recommended
    AI recommended (in order):
    1. Three.js
    2. Babylon.js
    3. PixiJS
    4. React
    5. react-three-fiber
    6. Vue.js
    7. vue-gl
    8. p5.js
    9. D3.js

    AI recommended 9 alternatives but never named a16z-infra/ai-town. 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 a16z-infra/ai-town?
    pass
    AI did not name a16z-infra/ai-town — 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 a16z-infra/ai-town in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a16z-infra/ai-town 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 a16z-infra/ai-town solve, and who is the primary audience?
    pass
    AI did not name a16z-infra/ai-town — 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

Drop this badge into the README of a16z-infra/ai-town. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/a16z-infra/ai-town.svg)](https://repogeo.com/en/r/a16z-infra/ai-town)
HTML
<a href="https://repogeo.com/en/r/a16z-infra/ai-town"><img src="https://repogeo.com/badge/a16z-infra/ai-town.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

a16z-infra/ai-town — 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