RRepoGEO

REPOGEO REPORT · LITE

aliyun/qwen-dianjin

Default branch master · commit cb066755 · scanned 6/16/2026, 2:48:12 PM

GitHub: 510 stars · 53 forks

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 aliyun/qwen-dianjin, 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
    Add a concise value proposition to the README's opening

    Why:

    CURRENT
    The README currently starts with navigation links and a 'News' section.
    COPY-PASTE FIX
    Add a clear, concise paragraph at the very top of the README (before the News section) that states: 'Qwen DianJin is Alibaba Cloud's leading large language model suite specifically engineered for the financial industry, offering advanced capabilities for financial analysis, reasoning, and agent-based applications.'
  • highlicense#2
    Add a LICENSE file and clarify licensing in README

    Why:

    CURRENT
    License: (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full license text. Additionally, add a line to the README, for example: 'This project is licensed under the [Specify License Name(s) Here] License. See the `LICENSE` file for details.'
  • mediumreadme#3
    Highlight the DianJin-SKILLS AI Agent library more prominently

    Why:

    CURRENT
    The DianJin-SKILLS mention is currently within the 'News' section.
    COPY-PASTE FIX
    Create a dedicated section or prominently feature 'DianJin-SKILLS: AI Agent Skill Library for Finance' higher up in the README, perhaps right after the main value proposition, detailing its 10 professional roles and 130+ standardized skills.

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 aliyun/qwen-dianjin
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BloombergGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BloombergGPT · recommended 1×
  2. FinGPT · recommended 1×
  3. GPT-4 · recommended 1×
  4. Llama 3 · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    What are the best large language models specifically designed for financial industry applications?
    you: not recommended
    AI recommended (in order):
    1. BloombergGPT
    2. FinGPT
    3. GPT-4
    4. Llama 3
    5. Google Gemini
    6. BERT
    7. FinBERT

    AI recommended 7 alternatives but never named aliyun/qwen-dianjin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent framework with pre-built skills for various financial roles.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Assistants API
    6. CrewAI
    7. AutoGPT
    8. BabyAGI

    AI recommended 8 alternatives but never named aliyun/qwen-dianjin. 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 aliyun/qwen-dianjin?
    pass
    AI did not name aliyun/qwen-dianjin — 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 aliyun/qwen-dianjin in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aliyun/qwen-dianjin 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 aliyun/qwen-dianjin solve, and who is the primary audience?
    pass
    AI named aliyun/qwen-dianjin 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 aliyun/qwen-dianjin. 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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aliyun/qwen-dianjin — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite