RRepoGEO

REPOGEO REPORT · LITE

shibing624/ChatPilot

Default branch main · commit a065655b · scanned 6/11/2026, 8:31:56 AM

GitHub: 599 stars · 59 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 shibing624/ChatPilot, 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 initial description to emphasize 'Web UI' and 'ready-to-deploy'

    Why:

    CURRENT
    ChatPilot: Chat Agent WebUI, 实现了AgentChat对话，支持Google搜索、文件网址对话（RAG）、代码解释器功能，复现Kimi Chat(文件，拖进来；网址，发出来)，支持OpenAI/Azure API.
    COPY-PASTE FIX
    ChatPilot is a ready-to-deploy Web UI for LLM Agents, featuring Google search, RAG for files and URLs (like Kimi Chat), and a Python code interpreter. It supports OpenAI/Azure APIs and offers a complete chat experience.
  • mediumtopics#2
    Add more specific topics related to web applications and UIs

    Why:

    CURRENT
    agent, agentica, agents, chat, chatbot, chatgpt, chatpdf, chatpilot, kimi, langchain, llm
    COPY-PASTE FIX
    agent, agentica, agents, chat, chatbot, chatgpt, chatpdf, chatpilot, kimi, langchain, llm, web-ui, full-stack, llm-application, ai-assistant-ui, rag-application
  • lowreadme#3
    Add a 'Why ChatPilot?' section to the README to highlight its unique value

    Why:

    COPY-PASTE FIX
    ### Why ChatPilot?
Unlike general LLM frameworks or UI libraries, ChatPilot provides a complete, production-ready web application for LLM agents, offering integrated features like RAG, tool use, and user management out-of-the-box, ready for deployment.

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 shibing624/ChatPilot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. OpenAI · recommended 1×
  3. Anthropic · recommended 1×
  4. Google Gemini · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build a custom AI chat assistant with document RAG and web search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI
    3. Anthropic
    4. Google Gemini
    5. Pinecone
    6. ChromaDB
    7. Weaviate
    8. SerpAPI
    9. Google Search API
    10. LlamaIndex
    11. Microsoft Azure AI Studio
    12. OpenAI Assistants API
    13. Azure AI Search
    14. Azure Cognitive Search
    15. Azure Web Search
    16. Azure Logic Apps
    17. Azure Functions
    18. Haystack
    19. Hugging Face Models
    20. Elasticsearch
    21. OpenSearch
    22. Hugging Face Transformers
    23. Sentence-Transformers
    24. Faiss
    25. Annoy
    26. Hnswlib
    27. Requests
    28. BeautifulSoup
    29. Scrapy

    AI recommended 29 alternatives but never named shibing624/ChatPilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a web-based chat interface for LLM agents with code execution and tool use.
    you: not recommended
    AI recommended (in order):
    1. LangChain Playground (LangServe)
    2. Gradio

    AI recommended 2 alternatives but never named shibing624/ChatPilot. 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 shibing624/ChatPilot?
    pass
    AI named shibing624/ChatPilot explicitly

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

  • If a team adopts shibing624/ChatPilot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shibing624/ChatPilot 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 shibing624/ChatPilot solve, and who is the primary audience?
    pass
    AI named shibing624/ChatPilot explicitly

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

Embed your GEO score

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MARKDOWN (README)
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