RRepoGEO

REPOGEO REPORT · LITE

whyiyhw/chatgpt-wechat

Default branch main · commit b41fcb45 · scanned 5/14/2026, 7:12:23 AM

GitHub: 1,148 stars · 212 forks

AI VISIBILITY SCORE
35 /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
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 whyiyhw/chatgpt-wechat, 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 clarify project type

    Why:

    CURRENT
    # chatgpt-wechat
    COPY-PASTE FIX
    # chatgpt-wechat: 开源、可自部署的微信/企业微信安全LLM个人助手/客服
  • mediumreadme#2
    Strengthen the README's introductory sentence

    Why:

    CURRENT
    可在微信 **安全使用（通过企业微信中转到微信，无封号风险）** 的 ChatGPT 个人助手应用,
    COPY-PASTE FIX
    本项目是一个**开源、可自部署**的 LLM 个人助手/客服应用，可在微信**安全使用（通过企业微信中转到微信，无封号风险）**，并支持 Dify 工作流。
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/whyiyhw/chatgpt-wechat

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 whyiyhw/chatgpt-wechat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tencent Cloud's WeChat Official Account Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tencent Cloud's WeChat Official Account Platform · recommended 1×
  2. Tencent Cloud AI Services · recommended 1×
  3. Tencent Hunyuan · recommended 1×
  4. Tencent Cloud NLP · recommended 1×
  5. Microsoft Azure · recommended 1×
  • CATEGORY QUERY
    How to safely integrate a large language model assistant with WeChat for customer support?
    you: not recommended
    AI recommended (in order):
    1. Tencent Cloud's WeChat Official Account Platform
    2. Tencent Cloud AI Services
    3. Tencent Hunyuan
    4. Tencent Cloud NLP
    5. Microsoft Azure
    6. Azure OpenAI Service
    7. Azure Communication Services
    8. Google Cloud Platform (GCP)
    9. Vertex AI
    10. Generative AI Studio
    11. PaLM 2
    12. Gemini
    13. AWS
    14. Amazon Bedrock
    15. Amazon SageMaker
    16. OpenAI API
    17. ChatGPT
    18. GPT-4
    19. Vercel
    20. Netlify

    AI recommended 20 alternatives but never named whyiyhw/chatgpt-wechat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an open-source solution for a secure LLM assistant on enterprise chat platforms with custom knowledge.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Llama 2
    4. Mistral
    5. Falcon
    6. Hugging Face Transformers
    7. vLLM
    8. Haystack
    9. Text Generation Inference (TGI)
    10. PrivateGPT
    11. Rasa

    AI recommended 11 alternatives but never named whyiyhw/chatgpt-wechat. 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 whyiyhw/chatgpt-wechat?
    pass
    AI named whyiyhw/chatgpt-wechat explicitly

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

  • If a team adopts whyiyhw/chatgpt-wechat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named whyiyhw/chatgpt-wechat 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 whyiyhw/chatgpt-wechat solve, and who is the primary audience?
    pass
    AI named whyiyhw/chatgpt-wechat 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 whyiyhw/chatgpt-wechat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/whyiyhw/chatgpt-wechat.svg)](https://repogeo.com/en/r/whyiyhw/chatgpt-wechat)
HTML
<a href="https://repogeo.com/en/r/whyiyhw/chatgpt-wechat"><img src="https://repogeo.com/badge/whyiyhw/chatgpt-wechat.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

whyiyhw/chatgpt-wechat — 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