RRepoGEO

REPOGEO REPORT · LITE

10cl/chatdev

Default branch main · commit a0b8bdc6 · scanned 6/5/2026, 5:31:45 AM

GitHub: 586 stars · 98 forks

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 10cl/chatdev, 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 README H1 to highlight game AI agent design

    Why:

    CURRENT
    ChatDev IDE: Building Your AI Agent
    COPY-PASTE FIX
    ChatDev IDE: Design & Build AI Agents for Games (NPCs) & General Applications
  • highreadme#2
    Emphasize visual prompt engineering in README introduction

    Why:

    COPY-PASTE FIX
    Add a sentence to the first paragraph: "It provides an integrated development environment (IDE) to visually engineer and design complex prompt flows and behaviors for your AI agents."
  • mediumtopics#3
    Expand topics to include visual development and agent design specifics

    Why:

    CURRENT
    ai-agents-framework, aigame, gpts, prompt-engineering, prompt-ide, promptflow
    COPY-PASTE FIX
    ai-agents-framework, aigame, gpts, prompt-engineering, prompt-ide, promptflow, visual-programming, agent-design, game-ai, npc-ai, llm-agents

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 10cl/chatdev
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity-Technologies/ml-agents
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity-Technologies/ml-agents · recommended 1×
  2. Unreal Engine · recommended 1×
  3. RAIN AI for Unity · recommended 1×
  4. AIGoap for Unity · recommended 1×
  5. PlayMaker for Unity · recommended 1×
  • CATEGORY QUERY
    What tools help design and develop AI agents for interactive game characters?
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    2. Unreal Engine
    3. RAIN AI for Unity
    4. AIGoap for Unity
    5. PlayMaker for Unity
    6. Panda3D (panda3d/panda3d)
    7. scikit-learn (scikit-learn/scikit-learn)
    8. TensorFlow (tensorflow/tensorflow)
    9. PyTorch (pytorch/pytorch)
    10. Godot Engine (godotengine/godot)

    AI recommended 10 alternatives but never named 10cl/chatdev. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need an integrated development environment to visually engineer prompts for AI agent behavior.
    you: not recommended
    AI recommended (in order):
    1. PromptLayer
    2. LangChain Playground
    3. Vellum
    4. Humanloop
    5. Weights & Biases Prompts
    6. OpenAI Playground
    7. Streamlit
    8. Gradio

    AI recommended 8 alternatives but never named 10cl/chatdev. 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 10cl/chatdev?
    pass
    AI named 10cl/chatdev explicitly

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

  • If a team adopts 10cl/chatdev in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 10cl/chatdev 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 10cl/chatdev solve, and who is the primary audience?
    pass
    AI named 10cl/chatdev explicitly

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

Embed your GEO score

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10cl/chatdev — 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