RRepoGEO

REPOGEO REPORT · LITE

luban-agi/Awesome-AIGC-Tutorials

Default branch main · commit b5d7654d · scanned 6/24/2026, 10:13:30 AM

GitHub: 4,523 stars · 301 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)

3 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 luban-agi/Awesome-AIGC-Tutorials, 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 opening to clarify its 'index' nature and unique focus

    Why:

    CURRENT
    Awesome AIGC Tutorials houses a curated collection of tutorials and resources spanning across Large Language Models, AI Painting, and related fields. Discover in-depth insights and knowledge catered for both beginners and advanced AI enthusiasts.
    COPY-PASTE FIX
    Awesome AIGC Tutorials is a comprehensive, curated index of high-quality tutorials and learning resources for Large Language Models, AI Painting, and related fields. It serves as your central guide to external insights and knowledge, catering to both beginners and advanced AI enthusiasts. Unlike general resource lists, this collection specifically emphasizes practical, in-depth tutorials and structured learning paths.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/luban-agi/Awesome-AIGC-Tutorials
  • lowabout#3
    Refine the repository's About description for clarity

    Why:

    CURRENT
    Curated tutorials and resources for Large Language Models, AI Painting, and more.
    COPY-PASTE FIX
    A curated index of high-quality tutorials and learning resources for Large Language Models, AI Painting, and related AIGC fields.

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 luban-agi/Awesome-AIGC-Tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 2×
  2. RunwayML · recommended 1×
  3. Stability AI · recommended 1×
  4. Hugging Face · recommended 1×
  5. Matt Wolfe · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of tutorials for AI generated content?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Stability AI
    3. Hugging Face
    4. Kaggle
    5. Matt Wolfe
    6. AI Explained
    7. Medium

    AI recommended 7 alternatives but never named luban-agi/Awesome-AIGC-Tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive resources to learn large language models and AI image generation.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. fast.ai
    4. OpenAI
    5. The Illustrated Transformer and The Illustrated Stable Diffusion
    6. Kaggle
    7. AI Coffee Break with Letitia
    8. StatQuest with Josh Starmer
    9. Yannic Kilcher

    AI recommended 9 alternatives but never named luban-agi/Awesome-AIGC-Tutorials. 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 luban-agi/Awesome-AIGC-Tutorials?
    pass
    AI did not name luban-agi/Awesome-AIGC-Tutorials — 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 luban-agi/Awesome-AIGC-Tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named luban-agi/Awesome-AIGC-Tutorials 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 luban-agi/Awesome-AIGC-Tutorials solve, and who is the primary audience?
    pass
    AI did not name luban-agi/Awesome-AIGC-Tutorials — 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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luban-agi/Awesome-AIGC-Tutorials — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite