RRepoGEO

REPOGEO REPORT · LITE

Duxiaoman-DI/XuanYuan

Default branch main · commit d12168b4 · scanned 6/26/2026, 5:07:58 PM

GitHub: 1,326 stars · 123 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root. Choose an appropriate open-source license (e.g., Apache-2.0, MIT) and include its full text.
  • mediumreadme#2
    Add a concise, domain-specific opening sentence to the README

    Why:

    COPY-PASTE FIX
    Insert the following sentence as the very first content in the README, before any links or news sections: 'XuanYuan (轩辕) is Duxiaoman's open-source large language model, meticulously designed and optimized for advanced Chinese financial dialogue and domain-specific natural language processing tasks.'

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
Qwen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Qwen · recommended 2×
  2. Baichuan 2 · recommended 1×
  3. ChatGLM3 · recommended 1×
  4. InternLM · recommended 1×
  5. Llama 2 · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are best for Chinese financial dialogue applications?
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen
    3. ChatGLM3
    4. InternLM
    5. Llama 2

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a pre-trained Chinese LLM for financial domain tasks with quantization options.
    you: not recommended
    AI recommended (in order):
    1. InternLM2-Finance
    2. Baichuan2
    3. Qwen
    4. ChatGLM3-6B
    5. CPM-Bee

    AI recommended 5 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

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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