RRepoGEO

REPOGEO REPORT · LITE

ConnectAI-E/feishu-openai

Default branch master · commit c5446a3c · scanned 5/26/2026, 3:02:23 AM

GitHub: 5,643 stars · 931 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 ConnectAI-E/feishu-openai, 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's opening to clearly state its purpose as a Feishu bot

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after any title/logo, before other sections: "This is an open-source Feishu (Lark) bot that integrates advanced AI models like GPT-4, GPT-4V, DALL·E-3, and Whisper to transform your team's collaboration experience."
  • mediumtopics#2
    Add more specific topics for workplace AI and team collaboration

    Why:

    CURRENT
    chatgpt, chatgpt-api, chatgpt-bot, connect-ai, feishu-bot, go, golang, openai
    COPY-PASTE FIX
    chatgpt, chatgpt-api, chatgpt-bot, connect-ai, feishu-bot, go, golang, openai, feishu, lark, workplace-ai, team-collaboration, ai-assistant, bot-framework
  • lowabout#3
    Explicitly state 'open-source Feishu bot' in the repository description

    Why:

    CURRENT
    🎒 飞书 ×（GPT-4 + GPT-4V + DALL·E-3 + Whisper）= 飞一般的工作体验 🚀 语音对话、角色扮演、多话题讨论、图片创作、表格分析、文档导出 🚀
    COPY-PASTE FIX
    An open-source Feishu (Lark) bot integrating GPT-4, GPT-4V, DALL·E-3, and Whisper. Elevate your workplace with voice chat, role-playing, image creation, table analysis, and more.

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 ConnectAI-E/feishu-openai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure OpenAI Service
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure OpenAI Service · recommended 2×
  2. Slack · recommended 1×
  3. OpenAI API · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced AI models like GPT-4 and DALL-E into a workplace communication platform?
    you: not recommended
    AI recommended (in order):
    1. Slack
    2. OpenAI API
    3. LangChain
    4. LlamaIndex
    5. AWS Lambda
    6. Google Cloud Functions
    7. AWS ECS/EKS
    8. Google Kubernetes Engine (GKE)
    9. Microsoft Teams
    10. Microsoft Graph API
    11. Azure OpenAI Service
    12. Microsoft Teams Toolkit
    13. Teams JavaScript SDK
    14. Azure App Service
    15. Azure Functions
    16. Discord
    17. Discord.js
    18. discord.py
    19. DigitalOcean Droplet
    20. Linode Instance
    21. Mattermost
    22. Docker containers
    23. AWS EC2
    24. React
    25. Angular
    26. Vue.js
    27. Node.js
    28. Express
    29. NestJS
    30. Python
    31. Django
    32. Flask
    33. Go
    34. Gin
    35. Echo
    36. Java
    37. Spring Boot
    38. Anthropic Claude
    39. Google Gemini API
    40. Socket.IO
    41. Pusher
    42. AWS Secrets Manager
    43. Azure Key Vault

    AI recommended 43 alternatives but never named ConnectAI-E/feishu-openai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Go-based solution for AI-powered voice, image, and multi-topic chat within team collaboration tools.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (sashabaranov/go-openai)
    2. Whisper API
    3. Text-to-Speech API
    4. DALL-E 3
    5. GPT-4V
    6. GPT-4
    7. GPT-3.5 Turbo
    8. Google Cloud AI Platform
    9. Cloud Speech-to-Text
    10. Cloud Text-to-Speech
    11. Vertex AI Vision
    12. Imagen
    13. Gemini Pro
    14. PaLM 2
    15. Hugging Face Inference API
    16. Llama 2
    17. Mistral
    18. Falcon
    19. Azure AI Services
    20. Azure Speech-to-Text
    21. Azure Text-to-Speech
    22. Azure AI Vision
    23. Azure OpenAI Service
    24. Azure AI Language
    25. ggerganov/whisper.cpp (ggerganov/whisper.cpp)
    26. go-stable-diffusion
    27. ollama
    28. llama.cpp
    29. Phi-2
    30. Cohere
    31. Command
    32. Command-R

    AI recommended 32 alternatives but never named ConnectAI-E/feishu-openai. 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 ConnectAI-E/feishu-openai?
    pass
    AI named ConnectAI-E/feishu-openai explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite