RRepoGEO

REPOGEO REPORT · LITE

morsoli/llm-books

Default branch main · commit 62d4c09c · scanned 6/13/2026, 11:07:26 AM

GitHub: 768 stars · 52 forks

AI VISIBILITY SCORE
35 /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
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 morsoli/llm-books, 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 opening to clearly state the repo's purpose

    Why:

    CURRENT
    > 欢迎 star🌟 ，持续关注《LLM 应用开发实践笔记》
我的新书《LangChain编程从入门到实践》 已经开售！推荐正在学习AI应用开发的朋友购买阅读！
    COPY-PASTE FIX
    This repository contains the comprehensive 'LLM Application Development Practice Notes' (《LLM 应用开发实践笔记》), offering practical guides and best practices for building intelligent applications with Large Language Models. 欢迎 star🌟 ，持续关注！
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file to the repository root (e.g., MIT, Apache-2.0, or a custom license if applicable) to clarify usage rights.
  • mediumreadme#3
    Add a descriptive sentence to the README's introduction

    Why:

    COPY-PASTE FIX
    This resource serves as a comprehensive, hands-on guide for developers, covering everything from foundational LLM concepts to advanced topics like RAG, LLMOps, and Agent systems, with practical examples and code.

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 morsoli/llm-books
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/openai-cookbook · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. DeepLearning.AI · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    Where can I find practical guides for developing intelligent applications using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI Cookbook (openai/openai-cookbook)
    3. Hugging Face Transformers (huggingface/transformers)
    4. DeepLearning.AI
    5. LlamaIndex
    6. Towards Data Science
    7. Analytics Vidhya

    AI recommended 7 alternatives but never named morsoli/llm-books. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources explain best practices for LLM application development, including evaluation and operations?
    you: not recommended
    AI recommended (in order):
    1. Building LLM Applications for Production
    2. Generative AI with Large Language Models
    3. The LLM Application Stack
    4. LangChain (langchain-ai/langchain)
    5. OpenAI
    6. MLflow (mlflow/mlflow)
    7. Arize AI

    AI recommended 7 alternatives but never named morsoli/llm-books. 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 morsoli/llm-books?
    pass
    AI named morsoli/llm-books explicitly

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

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

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

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morsoli/llm-books — 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