RRepoGEO

REPOGEO REPORT · LITE

wgwang/awesome-LLMs-In-China

Default branch main · commit f2a1119c · scanned 6/20/2026, 11:19:27 AM

GitHub: 6,452 stars · 561 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
15 /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
0 / 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 wgwang/awesome-LLMs-In-China, 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
    Explicitly state the repository is an 'Awesome List' in the README's opening.

    Why:

    CURRENT
    中国大模型大全，全面收集有明确来源的大模型情况，包括机构、来源信息和分类等，随时更新。
    COPY-PASTE FIX
    中国大模型大全，一个**精选列表 (Awesome List)**，全面收集有明确来源的大模型情况，包括机构、来源信息和分类等，随时更新。
  • hightopics#2
    Add relevant topics to the repository.

    Why:

    COPY-PASTE FIX
    large-language-models, llms, china, chinese-llms, awesome-list, ai, artificial-intelligence, nlp, deep-learning, foundation-models
  • mediumhomepage#3
    Set the repository's homepage URL to itself.

    Why:

    COPY-PASTE FIX
    https://github.com/wgwang/awesome-LLMs-In-China

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 wgwang/awesome-LLMs-In-China
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pangu-α
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pangu-α · recommended 2×
  2. Hugging Face Models · recommended 1×
  3. Baidu · recommended 1×
  4. Alibaba · recommended 1×
  5. Tencent · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of large language models developed in China?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Models
    2. Baidu
    3. Alibaba
    4. Tencent
    5. SenseTime
    6. Zhipu AI
    7. 01.AI
    8. DeepSeek
    9. Huawei
    10. iFLYTEK
    11. ByteDance
    12. Baichuan
    13. Qwen
    14. InternLM
    15. DeepSeek-LLM
    16. ZhipuChat
    17. Yi
    18. Pangu-α
    19. Baidu AI Open Platform
    20. Alibaba Cloud AI
    21. Tencent Cloud AI
    22. Huawei Cloud AI
    23. arXiv
    24. 36Kr
    25. TMTPost
    26. Sina Tech
    27. TechNode
    28. South China Morning Post tech section
    29. The Information
    30. GitHub Repositories

    AI recommended 30 alternatives but never named wgwang/awesome-LLMs-In-China. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an overview of major AI large language models originating from Chinese institutions.
    you: not recommended
    AI recommended (in order):
    1. ERNIE Bot
    2. SenseChat
    3. Tongyi Qianwen
    4. Zhipu AI's GLM Series
    5. Pangu-α
    6. iFlytek Spark

    AI recommended 6 alternatives but never named wgwang/awesome-LLMs-In-China. 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 wgwang/awesome-LLMs-In-China?
    pass
    AI did not name wgwang/awesome-LLMs-In-China — 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 wgwang/awesome-LLMs-In-China in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name wgwang/awesome-LLMs-In-China — 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?

  • In one sentence, what problem does the repo wgwang/awesome-LLMs-In-China solve, and who is the primary audience?
    pass
    AI did not name wgwang/awesome-LLMs-In-China — 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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wgwang/awesome-LLMs-In-China — 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