RRepoGEO

REPOGEO REPORT · LITE

iuiaoin/wechat-gptbot

Default branch main · commit 8960ef80 · scanned 6/7/2026, 6:22:11 AM

GitHub: 608 stars · 116 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 iuiaoin/wechat-gptbot, 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 highlight stability and ban-resistance

    Why:

    CURRENT
    <h1 align="center">Welcome to wechat-gptbot 👋</h1>
    <div align="center">
      
    </div>
    <p>
      
      <a href="#" target="_blank">
        
      </a>
      <a href="https://www.python.org/">
        
      </a>
      <a href="https://github.com/BerriAI/litellm">
        
      </a>
    </p>
    
    > A wechat robot based on ChatGPT with no risk, very stable! 🚀  
    > English | [中文文档](README_ZH.md)
    
    ## 🎤 Introduction
    
    > When I use bots based on `itchat` and `wechaty`, I often encounter the risk of account restrictions when scanning codes to log in. Refer to #158. Is there a safe way to use wechat bots? Here it is~
    COPY-PASTE FIX
    # wechat-gptbot: Stable, Ban-Resistant WeChat Bot with Multi-LLM & Image AI
    
    > Tired of WeChat account restrictions when using bots like `itchat` or `wechaty`? `wechat-gptbot` offers a secure and extremely stable solution, built on Windows hooks, to integrate ChatGPT and other advanced LLM models (GPT-3, GPT-4, Claude-2, Palm via LiteLLM) and DALL-E image generation directly into your WeChat conversations without risk. English | [中文文档](README_ZH.md)
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    chatgpt, openai, python, wechat
    COPY-PASTE FIX
    chatgpt, openai, python, wechat, wechat-bot, ai-assistant, llm, multi-llm, image-generation, windows-hook, bot
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/iuiaoin/wechat-gptbot

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 iuiaoin/wechat-gptbot
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WeChat Official Account Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. WeChat Official Account Platform · recommended 1×
  2. Node.js · recommended 1×
  3. Express · recommended 1×
  4. Python · recommended 1×
  5. Flask · recommended 1×
  • CATEGORY QUERY
    How to build a stable WeChat bot that uses ChatGPT without risking account bans?
    you: not recommended
    AI recommended (in order):
    1. WeChat Official Account Platform
    2. Node.js
    3. Express
    4. Python
    5. Flask
    6. Django
    7. OpenAI API
    8. WeChat Work API
    9. Puppeteer
    10. Selenium
    11. WeChaty
    12. ItChat

    AI recommended 12 alternatives but never named iuiaoin/wechat-gptbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to integrate multiple LLM models and image generation into a WeChat assistant.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Transformers (huggingface/transformers)
    4. Hugging Face Diffusers (huggingface/diffusers)
    5. OpenAI Python Library (openai/openai-python)
    6. LiteLLM (BerriAI/litellm)
    7. WeChaty (wechaty/python-wechaty)

    AI recommended 7 alternatives but never named iuiaoin/wechat-gptbot. 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 iuiaoin/wechat-gptbot?
    pass
    AI named iuiaoin/wechat-gptbot explicitly

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

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