RRepoGEO

REPOGEO REPORT · LITE

FudanDISC/DISC-FinLLM

Default branch main · commit e9bfa46d · scanned 6/2/2026, 9:02:38 PM

GitHub: 878 stars · 94 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 FudanDISC/DISC-FinLLM, 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
    Reposition the README's opening to emphasize its unique niche

    Why:

    CURRENT
    DISC-FinLLM 是一个专门针对金融场景下为用户提供专业、智能、全面的**金融咨询服务**的金融领域大模型，由复旦大学数据智能与社会计算实验室 (Fudan-DISC) 开发并开源。
    COPY-PASTE FIX
    DISC-FinLLM 是一个专门针对**中文金融场景**下为用户提供专业、智能、全面的**金融咨询服务**的**多专家智慧金融大模型**，由复旦大学数据智能与社会计算实验室 (Fudan-DISC) 开发并开源。
  • mediumtopics#2
    Add more domain-specific and user-facing topics

    Why:

    CURRENT
    chain-of-retrieval, financial-large-language-model, instruction-tuning, retrieval-enhanced-generation, tool-learning
    COPY-PASTE FIX
    chain-of-retrieval, financial-large-language-model, instruction-tuning, retrieval-enhanced-generation, tool-learning, chinese-llm, financial-consulting, financial-nlp, financial-ai, multi-expert-system
  • lowreadme#3
    Add a 'Comparison with General LLMs' section to the README

    Why:

    COPY-PASTE FIX
    ## 与通用大模型的比较

DISC-FinLLM 专注于中文金融场景，与通用大模型（如GPT-4、Llama 3等）相比，我们在金融咨询、金融文本分析、金融计算和金融知识检索问答等特定金融任务上表现出更高的专业性和准确性。我们的模型基于高质量的DISC-Fin-SFT数据集进行微调，确保了对中国金融语境的深度理解和应用能力。

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 FudanDISC/DISC-FinLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BloombergGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BloombergGPT · recommended 2×
  2. Baidu ERNIE 4.0 · recommended 1×
  3. Alibaba Tongyi Qianwen · recommended 1×
  4. GPT-4 · recommended 1×
  5. SenseTime SenseChat · recommended 1×
  • CATEGORY QUERY
    Looking for a specialized large language model to provide intelligent financial consulting in Chinese.
    you: not recommended
    AI recommended (in order):
    1. BloombergGPT
    2. Baidu ERNIE 4.0
    3. Alibaba Tongyi Qianwen
    4. GPT-4
    5. SenseTime SenseChat
    6. Huawei Pangu-Σ

    AI recommended 6 alternatives but never named FudanDISC/DISC-FinLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an LLM for financial text analysis, complex calculations, and knowledge retrieval in finance.
    you: not recommended
    AI recommended (in order):
    1. BloombergGPT
    2. GPT-4 (OpenAI)
    3. Claude 3 Opus (Anthropic)
    4. Llama 3 (Meta)
    5. Falcon 180B (Technology Innovation Institute)

    AI recommended 5 alternatives but never named FudanDISC/DISC-FinLLM. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 FudanDISC/DISC-FinLLM?
    pass
    AI named FudanDISC/DISC-FinLLM explicitly

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

  • If a team adopts FudanDISC/DISC-FinLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FudanDISC/DISC-FinLLM 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 FudanDISC/DISC-FinLLM solve, and who is the primary audience?
    pass
    AI named FudanDISC/DISC-FinLLM explicitly

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

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FudanDISC/DISC-FinLLM — 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