RRepoGEO

REPOGEO REPORT · LITE

wshzd/Awesome-AIGC

Default branch main · commit db90f6a2 · scanned 6/11/2026, 5:07:52 AM

GitHub: 867 stars · 104 forks

AI VISIBILITY SCORE
28 /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
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 wshzd/Awesome-AIGC, 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 specific topics to improve categorization

    Why:

    CURRENT
    blog, chat
    COPY-PASTE FIX
    aigc, generative-ai, awesome-list, resources, large-language-models, chatgpt, gpt4, ai-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the appropriate license text (e.g., CC-BY-4.0 for content-based repositories, or MIT/Apache-2.0 if preferred).
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the GitHub settings to `https://github.com/wshzd/Awesome-AIGC` (or a dedicated project website if one exists).

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 wshzd/Awesome-AIGC
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 AI Research
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google AI Blog & Google AI Research · recommended 1×
  2. Hugging Face Blog & Documentation · recommended 1×
  3. OpenAI Blog & Documentation · recommended 1×
  4. Towards Data Science · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of resources for learning about generative AI?
    you: not recommended
    AI recommended (in order):
    1. Google AI Blog & Google AI Research
    2. Hugging Face Blog & Documentation
    3. OpenAI Blog & Documentation
    4. Towards Data Science
    5. Papers With Code
    6. fast.ai Practical Deep Learning for Coders
    7. Coursera
    8. edX

    AI recommended 8 alternatives but never named wshzd/Awesome-AIGC. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to stay updated with discussions, papers, and interviews on advanced AI models?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Hugging Face Blog/Newsletter
    3. DeepMind Blog/Google AI Blog
    4. The Batch
    5. LessWrong
    6. Alignment Forum
    7. Twitter (now X)
    8. Lex Fridman Podcast
    9. The TWIML AI Podcast (This Week in Machine Learning & AI)

    AI recommended 9 alternatives but never named wshzd/Awesome-AIGC. 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 wshzd/Awesome-AIGC?
    pass
    AI did not name wshzd/Awesome-AIGC — 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 wshzd/Awesome-AIGC in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wshzd/Awesome-AIGC 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 wshzd/Awesome-AIGC solve, and who is the primary audience?
    pass
    AI named wshzd/Awesome-AIGC explicitly

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

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wshzd/Awesome-AIGC — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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