RRepoGEO

REPOGEO REPORT · LITE

wenge-research/YAYI2

Default branch main · commit 7ee4d9e3 · scanned 6/23/2026, 9:33:04 PM

GitHub: 2,799 stars · 18 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
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 wenge-research/YAYI2, 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 the README's opening sentence to highlight Chinese optimization and multilingual support

    Why:

    CURRENT
    YAYI 2 是中科闻歌研发的**新一代开源大语言模型**，包括 Base 和 Chat 版本，参数规模为 30B。YAYI2-30B 是基于 Transformer 的大语言模型，采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。
    COPY-PASTE FIX
    YAYI 2 是中科闻歌研发的**新一代开源大语言模型**，**专为中文内容优化并支持多语言**，包括 Base 和 Chat 版本，参数规模为 30B。YAYI2-30B 是基于 Transformer 的大语言模型，采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。
  • hightopics#2
    Add more specific topics for LLMs, multilingual support, and parameter size

    Why:

    CURRENT
    artificial-intelligence, chat, chinese, gpt, natural-language-generation, pretrained-language-model, yayi
    COPY-PASTE FIX
    artificial-intelligence, chat, chinese, gpt, natural-language-generation, pretrained-language-model, yayi, large-language-model, llm, multilingual, 30b-llm
  • mediumhomepage#3
    Add the Hugging Face repository URL as the project homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/wenge-research/yayi2

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 wenge-research/YAYI2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Baichuan 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Baichuan 2 · recommended 1×
  2. Qwen · recommended 1×
  3. ChatGLM3 · recommended 1×
  4. InternLM2 · recommended 1×
  5. Yi · recommended 1×
  • CATEGORY QUERY
    Where can I find an open-source large language model optimized for Chinese content?
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen
    3. ChatGLM3
    4. InternLM2
    5. Yi

    AI recommended 5 alternatives but never named wenge-research/YAYI2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Recommend a 30 billion parameter multilingual LLM for general and domain-specific AI tasks.
    you: not recommended
    AI recommended (in order):
    1. Falcon 40B Instruct
    2. Falcon 40B
    3. MPT-30B Instruct
    4. MPT-30B
    5. Llama 2 70B
    6. BLOOMZ-7B1
    7. BLOOM family
    8. BLOOM-176B
    9. Guanaco-33B
    10. Llama 33B
    11. Vicuna-33B

    AI recommended 11 alternatives but never named wenge-research/YAYI2. 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 wenge-research/YAYI2?
    pass
    AI did not name wenge-research/YAYI2 — 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 wenge-research/YAYI2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wenge-research/YAYI2 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 wenge-research/YAYI2 solve, and who is the primary audience?
    pass
    AI named wenge-research/YAYI2 explicitly

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

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wenge-research/YAYI2 — 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