RRepoGEO

REPOGEO REPORT · LITE

IEIT-Yuan/Yuan-2.0

Default branch main · commit 2f59b3f5 · scanned 6/13/2026, 1:12:26 PM

GitHub: 688 stars · 84 forks

AI VISIBILITY SCORE
35 /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
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 IEIT-Yuan/Yuan-2.0, 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, generative-ai, nlp, deep-learning, coding, mathematics, api-tools, safety
  • highreadme#2
    Add a concise English introduction to the README

    Why:

    COPY-PASTE FIX
    Yuan 2.0 is an open-source large language model (LLM) developed by IEIT-Yuan, excelling in coding and mathematical tasks. It features enhanced safety capabilities and supports API tool integration for advanced numerical calculations and diverse applications.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://your-project-homepage-url.com (replace with actual URL)

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 IEIT-Yuan/Yuan-2.0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 1×
  2. DeepSeek Coder · recommended 1×
  3. Llama 2 · recommended 1×
  4. Mistral 7B / Mixtral 8x7B · recommended 1×
  5. Phind-CodeLlama · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model excelling in coding and mathematical tasks.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. Llama 2
    4. Mistral 7B / Mixtral 8x7B
    5. Phind-CodeLlama

    AI recommended 5 alternatives but never named IEIT-Yuan/Yuan-2.0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which LLM offers enhanced safety features and API tool integration for numerical calculations?
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. Anthropic Claude 3
    3. OpenAI GPT-4
    4. Microsoft Azure OpenAI Service
    5. Meta Llama 3

    AI recommended 5 alternatives but never named IEIT-Yuan/Yuan-2.0. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    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 IEIT-Yuan/Yuan-2.0?
    pass
    AI named IEIT-Yuan/Yuan-2.0 explicitly

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

  • If a team adopts IEIT-Yuan/Yuan-2.0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named IEIT-Yuan/Yuan-2.0 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 IEIT-Yuan/Yuan-2.0 solve, and who is the primary audience?
    pass
    AI named IEIT-Yuan/Yuan-2.0 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 IEIT-Yuan/Yuan-2.0. 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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Pro

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IEIT-Yuan/Yuan-2.0 — 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