RRepoGEO

REPOGEO REPORT · LITE

cbamls/AI_Tutorial

Default branch master · commit 4df44430 · scanned 6/22/2026, 3:22:57 PM

GitHub: 3,677 stars · 511 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
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 cbamls/AI_Tutorial, 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 README H1 and opening to emphasize curated knowledge base

    Why:

    CURRENT
    H1: AIQ — 探索人工智能技术前沿与实践
Opening paragraph: 大模型时代，百科式的内容 AI 已能自动生成海量。但真正珍贵的增量信息，恰恰是来自一线实战的工程经验——大厂落地实践、顶尖实验室最新论文、工业界真实踩坑记录，才是这个时代最有价值的知识增量。
    COPY-PASTE FIX
    Update the H1 to: 'AIQ — 工业级AI实践与前沿研究精选知识库' (AIQ — Curated Knowledge Base of Industrial AI Practices and Cutting-Edge Research). Ensure the opening paragraph immediately clarifies that this repository is a '全面整理高质量的 AI / ML / 大数据技术资料的精选知识库' (curated knowledge base comprehensively organizing high-quality AI/ML/Big Data technical resources).
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, specifying the intended open-source license (e.g., MIT, Apache-2.0, or a custom license if applicable) to clarify usage rights.
  • mediumreadme#3
    Add an explicit 'What is AIQ?' or 'About This Repository' section

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps titled 'AIQ 是什么？' (What is AIQ?), immediately after the H1, with a concise statement like: 'AIQ 是一个专注于聚合和整理工业界AI落地实践、顶尖实验室最新论文、以及真实踩坑记录的精选知识库。我们旨在为AI工程师和研究人员提供高质量、自动更新的前沿技术资料，而非基础教程。' (AIQ is a curated knowledge base focused on aggregating and organizing industrial AI implementation practices, cutting-edge research papers from top labs, and real-world troubleshooting records. We aim to provide high-quality, automatically updated frontier technical resources for AI engineers and researchers, rather than basic tutorials.)

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 cbamls/AI_Tutorial
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google AI Blog / Google Research Blog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google AI Blog / Google Research Blog · recommended 1×
  2. AWS Machine Learning Blog · recommended 1×
  3. Microsoft AI Blog / Microsoft Research Blog · recommended 1×
  4. Meta AI Blog (formerly Facebook AI Research - FAIR) · recommended 1×
  5. arXiv.org · recommended 1×
  • CATEGORY QUERY
    Where can I find real-world AI implementation strategies and common pitfalls from big tech?
    you: not recommended
    AI recommended (in order):
    1. Google AI Blog / Google Research Blog
    2. AWS Machine Learning Blog
    3. Microsoft AI Blog / Microsoft Research Blog
    4. Meta AI Blog (formerly Facebook AI Research - FAIR)

    AI recommended 4 alternatives but never named cbamls/AI_Tutorial. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to stay updated on cutting-edge AI research and practical machine learning solutions?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Hugging Face Blog
    4. Transformers Library (huggingface/transformers)
    5. DeepMind Blog
    6. Google AI Blog
    7. The Batch
    8. Kaggle
    9. Twitter (now X)
    10. LinkedIn

    AI recommended 10 alternatives but never named cbamls/AI_Tutorial. 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 cbamls/AI_Tutorial?
    pass
    AI named cbamls/AI_Tutorial explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of cbamls/AI_Tutorial. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/cbamls/AI_Tutorial.svg)](https://repogeo.com/en/r/cbamls/AI_Tutorial)
HTML
<a href="https://repogeo.com/en/r/cbamls/AI_Tutorial"><img src="https://repogeo.com/badge/cbamls/AI_Tutorial.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

cbamls/AI_Tutorial — 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