RRepoGEO

REPOGEO REPORT · LITE

lee-to/ai-factory

Default branch 2.x · commit 7b0804d6 · scanned 6/3/2026, 7:31:57 AM

GitHub: 912 stars · 86 forks

AI VISIBILITY SCORE
28 /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
2 / 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 lee-to/ai-factory, 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 opening to clarify AI-powered development environment

    Why:

    CURRENT
    You want to build with AI, but setting up the right context, prompts, and workflows takes time. AI Factory handles all of that so you can focus on what matters — shipping quality code.
    COPY-PASTE FIX
    AI Factory is your zero-configuration, spec-driven AI-powered development environment for building and orchestrating autonomous AI agents, letting you focus on shipping quality code.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Add a LICENSE file containing the full text of the MIT License to the repository root.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    ai, ai-agents, ai-skills, spec-driven-development
    COPY-PASTE FIX
    ai, ai-agents, ai-skills, spec-driven-development, ai-powered-development, developer-tools, workflow-automation, llm-orchestration, agent-framework

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 lee-to/ai-factory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Colaboratory (Colab)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Colaboratory (Colab) · recommended 1×
  2. Kaggle Notebooks · recommended 1×
  3. Anaconda Distribution · recommended 1×
  4. VS Code with Dev Containers · recommended 1×
  5. Paperspace Gradient · recommended 1×
  • CATEGORY QUERY
    How to quickly set up an AI development environment with minimal configuration?
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab)
    2. Kaggle Notebooks
    3. Anaconda Distribution
    4. VS Code with Dev Containers
    5. Paperspace Gradient
    6. AWS SageMaker Studio Lab

    AI recommended 6 alternatives but never named lee-to/ai-factory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for implementing spec-driven AI development and managing multiple AI agents effectively?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. OpenAI Assistants API
    6. CrewAI
    7. Marvin

    AI recommended 7 alternatives but never named lee-to/ai-factory. 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 lee-to/ai-factory?
    pass
    AI named lee-to/ai-factory explicitly

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

  • If a team adopts lee-to/ai-factory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lee-to/ai-factory 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 lee-to/ai-factory solve, and who is the primary audience?
    pass
    AI did not name lee-to/ai-factory — 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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lee-to/ai-factory — 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