RRepoGEO

REPOGEO REPORT · LITE

TommyZihao/zihao_course

Default branch main · commit f7f2cd88 · scanned 5/23/2026, 1:13:07 PM

GitHub: 1,773 stars · 189 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
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 TommyZihao/zihao_course, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ["computer-vision", "machine-learning", "deep-learning", "graph-neural-networks", "ai-education", "chinese-language", "course-materials", "graduation-project", "pytorch"]
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    (Create a LICENSE file in the repository root to specify the terms of use for the course materials and code examples.)
  • mediumreadme#3
    Enhance the repository description and README's opening statement

    Why:

    CURRENT
    Description: 同济子豪兄的公开课
README H1: # 同济子豪兄主讲的公开课
    COPY-PASTE FIX
    Description: 同济子豪兄主讲的计算机视觉、图机器学习、AI毕业设计等中文公开课及实战项目资源。
README H1: # 同济子豪兄主讲的计算机视觉、图机器学习、AI毕业设计等中文公开课及实战项目资源

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 TommyZihao/zihao_course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bilibili
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bilibili · recommended 1×
  2. Zhihu · recommended 1×
  3. CSDN · recommended 1×
  4. Tsinghua University · recommended 1×
  5. Peking University · recommended 1×
  • CATEGORY QUERY
    Looking for comprehensive Chinese-language resources to learn fundamental computer vision or graph machine learning.
    you: not recommended
    AI recommended (in order):
    1. Bilibili
    2. Zhihu
    3. CSDN
    4. Tsinghua University
    5. Peking University
    6. GitHub
    7. Gitee
    8. 动手学深度学习

    AI recommended 8 alternatives but never named TommyZihao/zihao_course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need practical guidance for building AI graduation projects, including image classification and semantic segmentation.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. Keras
    3. segmentation_models.pytorch (qubvel/segmentation_models)
    4. PyTorch
    5. Albumentations (albumentations-team/albumentations)
    6. OpenCV
    7. scikit-learn
    8. Weights & Biases
    9. MLflow
    10. Jupyter Notebooks
    11. Google Colab

    AI recommended 11 alternatives but never named TommyZihao/zihao_course. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 TommyZihao/zihao_course?
    pass
    AI did not name TommyZihao/zihao_course — 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 TommyZihao/zihao_course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TommyZihao/zihao_course 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 TommyZihao/zihao_course solve, and who is the primary audience?
    pass
    AI did not name TommyZihao/zihao_course — 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?

Embed your GEO score

Drop this badge into the README of TommyZihao/zihao_course. 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/TommyZihao/zihao_course.svg)](https://repogeo.com/en/r/TommyZihao/zihao_course)
HTML
<a href="https://repogeo.com/en/r/TommyZihao/zihao_course"><img src="https://repogeo.com/badge/TommyZihao/zihao_course.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TommyZihao/zihao_course — 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