RRepoGEO

REPOGEO REPORT · LITE

modelscope/modelscope-classroom

Default branch main · commit f40bf861 · scanned 5/15/2026, 11:53:32 AM

GitHub: 1,398 stars · 170 forks

AI VISIBILITY SCORE
23 /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
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 modelscope/modelscope-classroom, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise 'about' description

    Why:

    COPY-PASTE FIX
    Comprehensive tutorials and practical examples for deep learning, large language models (LLMs), and AI agents within the ModelScope ecosystem, covering training, inference, deployment, and application development.
  • mediumreadme#2
    Clarify the README's introduction to emphasize official ModelScope tutorials

    Why:

    CURRENT
    在这里我们集中了魔搭社区的深度学习教程！热爱AI的开发者们可以在这里找到自己想要了解的知识，并学会训练、推理、部署、应用搭建等各类常用操作！
    COPY-PASTE FIX
    这里是ModelScope（魔搭社区）官方的综合性教程中心，为热爱AI的开发者们提供深度学习、大模型、AI智能体等各类技术的理论与实践课程，涵盖模型训练、推理、部署及应用搭建等核心操作。

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 modelscope/modelscope-classroom
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 1×
  2. fast.ai · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. Google's Machine Learning Crash Course · recommended 1×
  5. Stanford CS224N · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive learning resources for deep learning and large language models?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. fast.ai
    3. Hugging Face (huggingface/transformers)
    4. Google's Machine Learning Crash Course
    5. Stanford CS224N
    6. edX
    7. O'Reilly Media

    AI recommended 7 alternatives but never named modelscope/modelscope-classroom. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical guides on training, deploying, and fine-tuning large language models and AI agents.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. OpenAI API
    3. LangChain
    4. DeepLearning.AI
    5. Google Cloud Vertex AI
    6. The LLM Book
    7. Weights & Biases

    AI recommended 7 alternatives but never named modelscope/modelscope-classroom. 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 modelscope/modelscope-classroom?
    pass
    AI did not name modelscope/modelscope-classroom — 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 modelscope/modelscope-classroom in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modelscope/modelscope-classroom 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 modelscope/modelscope-classroom solve, and who is the primary audience?
    pass
    AI named modelscope/modelscope-classroom 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 modelscope/modelscope-classroom. 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/modelscope/modelscope-classroom.svg)](https://repogeo.com/en/r/modelscope/modelscope-classroom)
HTML
<a href="https://repogeo.com/en/r/modelscope/modelscope-classroom"><img src="https://repogeo.com/badge/modelscope/modelscope-classroom.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

modelscope/modelscope-classroom — 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