RRepoGEO

REPOGEO REPORT · LITE

kennethreitz/simplemind

Default branch main · commit b5a901ef · scanned 6/9/2026, 3:38:25 AM

GitHub: 541 stars · 28 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 kennethreitz/simplemind, 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 explicitly state its function and competitive stance

    Why:

    CURRENT
    Simplemind is AI library designed to simplify your experience with AI APIs in Python.
    COPY-PASTE FIX
    Simplemind is a minimalist Python API client for large language models (LLMs) and other AI providers, designed to simplify your experience and replace complex frameworks like LangChain and LangGraph for most common use cases.
  • mediumtopics#2
    Expand topics with more specific LLM API client terms

    Why:

    CURRENT
    ai, anthropic, anthropic-claude, api-client, artificial-intelligence, gemini, langchain, llms, openai, openai-api
    COPY-PASTE FIX
    ai, anthropic, anthropic-claude, api-client, artificial-intelligence, gemini, langchain, llms, openai, openai-api, python-library, llm-api, generative-ai, multi-llm, bedrock, deepseek
  • lowreadme#3
    Add a dedicated section comparing Simplemind to alternatives

    Why:

    COPY-PASTE FIX
    ## Why Simplemind? (Compared to LangChain/LangGraph)

Unlike more complex frameworks such as LangChain or LangGraph, Simplemind focuses on a minimalist, intuitive API design, allowing developers to interact with LLMs directly and efficiently without extensive boilerplate. Our "for humans" philosophy means less configuration and more direct interaction with powerful AI capabilities.

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 kennethreitz/simplemind
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. Instructor · recommended 2×
  3. OpenAI Python Library · recommended 1×
  4. Anthropic Python SDK · recommended 1×
  5. Google Generative AI Python SDK · recommended 1×
  • CATEGORY QUERY
    Looking for a simpler Python library to interact with various large language models.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. Instructor
    3. OpenAI Python Library
    4. Anthropic Python SDK
    5. Google Generative AI Python SDK
    6. Hugging Face `transformers` library

    AI recommended 6 alternatives but never named kennethreitz/simplemind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an intuitive Python framework for integrating multiple AI provider APIs without complexity.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. LiteLLM
    4. Marvin
    5. Instructor

    AI recommended 5 alternatives but never named kennethreitz/simplemind. 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 kennethreitz/simplemind?
    pass
    AI named kennethreitz/simplemind explicitly

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

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

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

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kennethreitz/simplemind — 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