RRepoGEO

REPOGEO REPORT · LITE

AI4Finance-Foundation/FinNLP

Default branch main · commit be4dfd5c · scanned 5/10/2026, 4:17:47 PM

GitHub: 1,446 stars · 273 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 AI4Finance-Foundation/FinNLP, 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
  • highreadme#1
    Reposition the README H1 and opening paragraph to clarify framework scope

    Why:

    CURRENT
    # FinNLP: Internet-scale Financial Data

FinNLP provides a playground for all people interested in LLMs and NLP in Finance. Here we provide full pipelines for LLM training and finetuning in the field of finance.
    COPY-PASTE FIX
    # FinNLP: A Comprehensive Framework for Financial LLM & NLP Pipelines

FinNLP is an open-source framework providing full pipelines for large language model (LLM) training, finetuning, and natural language processing (NLP) specifically designed for the finance domain, including robust internet-scale financial data acquisition.
  • mediumabout#2
    Update the repository description for better clarity

    Why:

    CURRENT
    Democratizing Internet-scale financial data.
    COPY-PASTE FIX
    A comprehensive open-source framework for financial LLM/NLP pipelines, including internet-scale financial data acquisition and finetuning tools.

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 AI4Finance-Foundation/FinNLP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bloomberg Terminal
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bloomberg Terminal · recommended 1×
  2. Refinitiv Eikon · recommended 1×
  3. FactSet · recommended 1×
  4. News API · recommended 1×
  5. GDELT Project · recommended 1×
  • CATEGORY QUERY
    How to acquire internet-scale financial news data for training NLP models?
    you: not recommended
    AI recommended (in order):
    1. Bloomberg Terminal
    2. Refinitiv Eikon
    3. FactSet
    4. News API
    5. GDELT Project
    6. Alpha Vantage
    7. Scrapy (scrapy/scrapy)
    8. Beautiful Soup (beautifulsoup4/beautifulsoup4)

    AI recommended 8 alternatives but never named AI4Finance-Foundation/FinNLP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for building LLM pipelines in finance for text analysis?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Hugging Face Transformers
    5. Spark NLP
    6. Rasa

    AI recommended 6 alternatives but never named AI4Finance-Foundation/FinNLP. 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 AI4Finance-Foundation/FinNLP?
    pass
    AI named AI4Finance-Foundation/FinNLP explicitly

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

  • If a team adopts AI4Finance-Foundation/FinNLP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AI4Finance-Foundation/FinNLP 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 AI4Finance-Foundation/FinNLP solve, and who is the primary audience?
    pass
    AI named AI4Finance-Foundation/FinNLP explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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