RRepoGEO

REPOGEO REPORT · LITE

AI4Finance-Foundation/FinNLP

Default branch main · commit be4dfd5c · scanned 6/20/2026, 3:22:38 PM

GitHub: 1,462 stars · 274 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)

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

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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    finance, nlp, llm, financial-nlp, large-language-models, data-science, python, finetuning, financial-data, machine-learning
  • highreadme#2
    Reposition the README's opening paragraph to clarify its framework identity

    Why:

    CURRENT
    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 is an open-source Python framework providing comprehensive pipelines for large language model (LLM) training and finetuning specifically for financial natural language processing (NLP) tasks. It offers tools for internet-scale financial data acquisition, preprocessing, and model development, serving researchers and practitioners in financial AI.
  • mediumabout#3
    Update the repository description to emphasize the LLM/NLP framework aspect

    Why:

    CURRENT
    Democratizing Internet-scale financial data.
    COPY-PASTE FIX
    An open-source Python framework for large language model (LLM) training and finetuning on internet-scale financial data, providing full NLP pipelines for finance.

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/Bloomberg Data License
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bloomberg Terminal/Bloomberg Data License · recommended 1×
  2. Refinitiv Eikon/Refinitiv Data Platform · recommended 1×
  3. FactSet · recommended 1×
  4. NewsAPI.org · recommended 1×
  5. Alpha Vantage · recommended 1×
  • CATEGORY QUERY
    How can I efficiently gather internet-scale financial news data for NLP model training?
    you: not recommended
    AI recommended (in order):
    1. Bloomberg Terminal/Bloomberg Data License
    2. Refinitiv Eikon/Refinitiv Data Platform
    3. FactSet
    4. NewsAPI.org
    5. Alpha Vantage
    6. Common Crawl
    7. Scrapy

    AI recommended 7 alternatives but never named AI4Finance-Foundation/FinNLP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to finetune large language models on financial text data.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. Keras (keras-team/keras)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. Ludwig (ludwig-ai/ludwig)

    AI recommended 5 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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AI4Finance-Foundation/FinNLP — 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