RRepoGEO

REPOGEO REPORT · LITE

minimaxir/simpleaichat

Default branch main · commit 569dbf58 · scanned 5/27/2026, 11:31:48 PM

GitHub: 3,504 stars · 221 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 minimaxir/simpleaichat, 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 paragraph to highlight core differentiators

    Why:

    CURRENT
    simpleaichat is a Python package for easily interfacing with chat apps like ChatGPT and GPT-4 with robust features and minimal code complexity. This tool has many features optimized for working with ChatGPT as fast and as cheap as possible, but still much more capable of modern AI tricks than most implementations:
    COPY-PASTE FIX
    simpleaichat is a **lightweight, opinionated Python package** designed for **rapid, cost-effective integration with AI chat models like ChatGPT and GPT-4**. Unlike broader frameworks, it focuses on **minimal code complexity and optimized workflows** to reduce token usage and latency, making it ideal for developers who need robust chat features without the overhead of general-purpose AI libraries.
  • hightopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai, chatgpt
    COPY-PASTE FIX
    ai, chatgpt, python, openai, llm, api-client, wrapper, streaming, async, cost-optimization, chatbot
  • mediumhomepage#3
    Add a relevant external link to the repository's 'Homepage' field

    Why:

    COPY-PASTE FIX
    Add the project's primary external link (e.g., documentation site, main demo, or a representative Colab notebook) to the 'Homepage' field in the repository's About section.

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 minimaxir/simpleaichat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LiteLLM · recommended 2×
  3. OpenAI Python Library · recommended 2×
  4. Hugging Face Transformers · recommended 2×
  5. Google Generative AI Python SDK · recommended 1×
  • CATEGORY QUERY
    How to easily integrate AI chat models into Python applications with minimal code?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LiteLLM
    3. OpenAI Python Library
    4. Hugging Face Transformers
    5. Google Generative AI Python SDK
    6. Anthropic Python SDK

    AI recommended 6 alternatives but never named minimaxir/simpleaichat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for efficient, cost-effective AI chatbot integration with streaming support?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LiteLLM
    3. OpenAI Python Library
    4. Hugging Face Transformers
    5. FastAPI

    AI recommended 5 alternatives but never named minimaxir/simpleaichat. 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 minimaxir/simpleaichat?
    pass
    AI did not name minimaxir/simpleaichat — 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 minimaxir/simpleaichat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named minimaxir/simpleaichat 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 minimaxir/simpleaichat solve, and who is the primary audience?
    pass
    AI named minimaxir/simpleaichat explicitly

    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 minimaxir/simpleaichat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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minimaxir/simpleaichat — 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