RRepoGEO

REPOGEO REPORT · LITE

InternLM/HuixiangDou

Default branch main · commit 711c7546 · scanned 5/26/2026, 12:46:50 AM

GitHub: 2,490 stars · 179 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 InternLM/HuixiangDou, 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
    Change README H1 to clearly state the project's core purpose

    Why:

    CURRENT
    # 🎚️ Upgrade
    COPY-PASTE FIX
    # HuixiangDou: LLM-based Technical Assistant for Group Chat Scenarios
  • mediumreadme#2
    Strengthen the introductory paragraph to highlight group chat and RAG

    Why:

    CURRENT
    HuixiangDou1 is a **professional knowledge assistant** based on LLM.
    COPY-PASTE FIX
    HuixiangDou1 is a **specialized LLM-based technical knowledge assistant** designed for **group chat scenarios**, leveraging a robust RAG pipeline to prevent message flooding and deliver accurate, domain-specific answers.
  • lowtopics#3
    Add more specific topics for RAG and group chat specialization

    Why:

    CURRENT
    application, assistant, assistant-chat-bots, chatbot, dsl, group-chat, image-retrieval, lark, llm, multimodal, pipeline, rag, robot, wechat
    COPY-PASTE FIX
    application, assistant, assistant-chat-bots, chatbot, dsl, group-chat, image-retrieval, lark, llm, multimodal, pipeline, rag, robot, wechat, llm-group-chat, technical-qna, rag-pipeline, domain-specific-ai

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 InternLM/HuixiangDou
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Slack Bots · recommended 1×
  5. Discord Bots · recommended 1×
  • CATEGORY QUERY
    How to build an LLM assistant for group chat without overwhelming users?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Slack Bots
    4. Discord Bots
    5. slack_sdk
    6. discord.py
    7. OpenAI API
    8. Anthropic Claude
    9. Pinecone
    10. Weaviate
    11. Gradio
    12. Streamlit
    13. Redis

    AI recommended 13 alternatives but never named InternLM/HuixiangDou. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a knowledge assistant using RAG for professional domain-specific queries.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (llamaindex/llamaindex)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset-ai/haystack)
    4. RAGatouille (RAGatouille/RAGatouille)
    5. Faiss (facebookresearch/faiss)
    6. sentence-transformers (UKPLab/sentence-transformers)
    7. Weaviate (weaviate/weaviate)
    8. Pinecone

    AI recommended 8 alternatives but never named InternLM/HuixiangDou. 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 InternLM/HuixiangDou?
    pass
    AI named InternLM/HuixiangDou explicitly

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

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