RRepoGEO

REPOGEO REPORT · LITE

Duxiaoman-DI/XuanYuan

Default branch main · commit d12168b4 · scanned 5/15/2026, 9:43:05 PM

GitHub: 1,321 stars · 124 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 Duxiaoman-DI/XuanYuan, 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 for discoverability

    Why:

    COPY-PASTE FIX
    llm, large-language-model, chinese-llm, financial-llm, nlp, duxiaoman, xuanyuan
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., Apache-2.0, MIT).
  • mediumreadme#3
    Add a concise introductory sentence to the README

    Why:

    CURRENT
    The README currently starts with links and news updates before stating its core purpose.
    COPY-PASTE FIX
    Add the following sentence immediately after the main title or at the very top of the README: "XuanYuan is Duxiaoman's leading open-source large language model specifically optimized for Chinese financial dialogue and data analysis."

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 Duxiaoman-DI/XuanYuan
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FinGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FinGPT · recommended 1×
  2. Baichuan 2 · recommended 1×
  3. Qwen · recommended 1×
  4. ChatGLM3 · recommended 1×
  5. InternLM · recommended 1×
  • CATEGORY QUERY
    Which open-source large language models are optimized for Chinese financial domain conversations?
    you: not recommended
    AI recommended (in order):
    1. FinGPT
    2. Baichuan 2
    3. Qwen
    4. ChatGLM3
    5. InternLM

    AI recommended 5 alternatives but never named Duxiaoman-DI/XuanYuan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a robust Chinese LLM for financial services and data analysis?
    you: not recommended
    AI recommended (in order):
    1. BloombergGPT
    2. Baidu ERNIE 3.5/4.0
    3. SenseTime SenseChat
    4. Alibaba Tongyi Qianwen
    5. Tencent Hunyuan
    6. iFlytek SparkDesk

    AI recommended 6 alternatives but never named Duxiaoman-DI/XuanYuan. 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 Duxiaoman-DI/XuanYuan?
    pass
    AI named Duxiaoman-DI/XuanYuan explicitly

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

  • If a team adopts Duxiaoman-DI/XuanYuan in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Duxiaoman-DI/XuanYuan 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 Duxiaoman-DI/XuanYuan solve, and who is the primary audience?
    pass
    AI named Duxiaoman-DI/XuanYuan 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 Duxiaoman-DI/XuanYuan. 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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Duxiaoman-DI/XuanYuan — 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