RRepoGEO

REPOGEO REPORT · LITE

LLMBook-zh/LLMBook-zh.github.io

Default branch main · commit 7be1a805 · scanned 6/30/2026, 8:58:02 AM

GitHub: 4,513 stars · 339 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 LLMBook-zh/LLMBook-zh.github.io, 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
  • highabout#1
    Update the repository description to clearly state it's a comprehensive LLM book.

    Why:

    CURRENT
    《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
    COPY-PASTE FIX
    《大语言模型》:一本全面深入讲解大语言模型技术体系的中文参考书,由赵鑫、李军毅、周昆、唐天一、文继荣合著,面向具有深度学习基础的读者。
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. For book content, consider a Creative Commons license (e.g., CC BY-NC-SA 4.0) or clearly state the specific licensing terms for the book's content within the README.
  • mediumtopics#3
    Add topics that emphasize the repository's nature as a book or educational resource.

    Why:

    CURRENT
    artificial-intelligence, deep-learning, deep-neural-networks, deep-reinforcement-learning, fine-tuning, language-model, large-language-models, natural-language-processing, nlp, pretrained-models
    COPY-PASTE FIX
    artificial-intelligence, deep-learning, large-language-models, nlp, llm-book, educational-resource, machine-learning-book, chinese-llm-book, reference-book, deep-learning-book, llm-tutorial

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 LLMBook-zh/LLMBook-zh.github.io
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-series
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-series · recommended 1×
  2. Google Gemini · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. Meta Llama · recommended 1×
  5. Mistral AI · recommended 1×
  • CATEGORY QUERY
    Need a systematic overview of large language model technology and frameworks.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-series
    2. Google Gemini
    3. Anthropic Claude
    4. Meta Llama
    5. Mistral AI
    6. LangChain
    7. LlamaIndex
    8. Hugging Face Transformers
    9. Haystack
    10. OpenAI Python Library / SDK
    11. Pinecone
    12. Weaviate
    13. Chroma
    14. Qdrant
    15. Milvus
    16. LangSmith
    17. Arize AI
    18. Weights & Biases
    19. DeepEval

    AI recommended 19 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive reference material for deep learning practitioners on large language models.
    you: not recommended
    AI recommended (in order):
    1. Natural Language Processing with Transformers
    2. Deep Learning
    3. Speech and Language Processing
    4. Attention Is All You Need
    5. Hugging Face Transformers Documentation (huggingface/transformers)

    AI recommended 5 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. 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 LLMBook-zh/LLMBook-zh.github.io?
    pass
    AI did not name LLMBook-zh/LLMBook-zh.github.io — 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 LLMBook-zh/LLMBook-zh.github.io in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LLMBook-zh/LLMBook-zh.github.io 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 LLMBook-zh/LLMBook-zh.github.io solve, and who is the primary audience?
    pass
    AI did not name LLMBook-zh/LLMBook-zh.github.io — 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?

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LLMBook-zh/LLMBook-zh.github.io — 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