RRepoGEO

REPOGEO REPORT · LITE

BinNong/meet-libai

Default branch main · commit e5b8bd78 · scanned 5/15/2026, 4:03:26 AM

GitHub: 1,885 stars · 233 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 BinNong/meet-libai, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['knowledge-graph', 'large-language-models', 'llm', 'ai-chatbot', 'cultural-heritage', 'chinese-poetry', 'li-bai', 'generative-ai', 'rag', 'education']
  • highreadme#2
    Add a concise project summary immediately after the main title in README

    Why:

    CURRENT
    The README currently starts with the H1, followed by badges and then a detailed "项目背景" section.
    COPY-PASTE FIX
    Insert the following text directly after the `# 「遇见李白」 meet-libai` heading, before any badges or other sections:
`本项目旨在通过构建李白知识图谱，结合大模型训练出专业的AI智能体，以生成式对话应用的形式，推动李白文化的普及与推广。`
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add the live demo or project website URL here (e.g., https://your-project-demo.com)

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 BinNong/meet-libai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa · recommended 1×
  2. Google Dialogflow ES · recommended 1×
  3. OpenAI GPT-3.5/GPT-4 · recommended 1×
  4. LangChain · recommended 1×
  5. Llama 2 · recommended 1×
  • CATEGORY QUERY
    How to build an AI chatbot for historical figures and cultural heritage education?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Google Dialogflow ES
    3. OpenAI GPT-3.5/GPT-4
    4. LangChain
    5. Llama 2
    6. Mistral
    7. Microsoft Bot Framework
    8. Azure Cognitive Services
    9. LUIS
    10. Voiceflow

    AI recommended 10 alternatives but never named BinNong/meet-libai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for creating a domain-specific knowledge graph integrated with large language models for Q&A?
    you: not recommended
    AI recommended (in order):
    1. Neo4j AuraDB
    2. Vaticle's TypeDB
    3. Amazon Neptune
    4. Ontotext GraphDB
    5. ArangoDB
    6. Weaviate
    7. DGL / PyG

    AI recommended 7 alternatives but never named BinNong/meet-libai. 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 BinNong/meet-libai?
    pass
    AI did not name BinNong/meet-libai — 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?

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

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

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  • Brand-free category queries5 vs 2 in Lite
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