RRepoGEO

REPOGEO REPORT · LITE

Shawn-IEITSystems/Yuan-1.0

Default branch main · commit 1ff78d3c · scanned 5/30/2026, 2:07:58 AM

GitHub: 589 stars · 109 forks

AI VISIBILITY SCORE
30 /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
3 / 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 Shawn-IEITSystems/Yuan-1.0, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    large-language-model, llm, nlp, chinese-nlp, few-shot-learning, zero-shot-learning, pretrained-model, deep-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root, choosing an appropriate open-source license such as MIT or Apache-2.0.
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    Yuan 1.0 Large pretrained LM
    COPY-PASTE FIX
    Yuan 1.0: A 246B-parameter large language model excelling in Chinese NLP, few-shot, and zero-shot learning.

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 Shawn-IEITSystems/Yuan-1.0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. Claude 3 Opus · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. GPT-3.5 Turbo · recommended 1×
  5. Llama 3 70B Instruct · recommended 1×
  • CATEGORY QUERY
    What are some powerful large language models for few-shot learning tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. GPT-3.5 Turbo
    5. Llama 3 70B Instruct
    6. Mistral Large

    AI recommended 6 alternatives but never named Shawn-IEITSystems/Yuan-1.0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which extremely large language models excel at processing Chinese text data?
    you: not recommended
    AI recommended (in order):
    1. ERNIE 4.0
    2. GLM-4
    3. SenseChat 3
    4. Qwen2
    5. LLaMA 3
    6. GPT-4

    AI recommended 6 alternatives but never named Shawn-IEITSystems/Yuan-1.0. 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 Shawn-IEITSystems/Yuan-1.0?
    pass
    AI named Shawn-IEITSystems/Yuan-1.0 explicitly

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

  • If a team adopts Shawn-IEITSystems/Yuan-1.0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Shawn-IEITSystems/Yuan-1.0 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 Shawn-IEITSystems/Yuan-1.0 solve, and who is the primary audience?
    pass
    AI named Shawn-IEITSystems/Yuan-1.0 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 Shawn-IEITSystems/Yuan-1.0. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Shawn-IEITSystems/Yuan-1.0 — 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