RRepoGEO

REPOGEO REPORT · LITE

yya518/FinBERT

Default branch master · commit 4675e2df · scanned 6/17/2026, 3:38:21 AM

GitHub: 653 stars · 144 forks

AI VISIBILITY SCORE
68 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 yya518/FinBERT, 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
    Emphasize FinBERT's forward-looking statement (FLS) classification capability in the README

    Why:

    CURRENT
    The README mentions 'FinBERT-FLS' and 'forward-looking statement (FLS) classification' in the fine-tuned models list and background section.
    COPY-PASTE FIX
    Integrate a sentence like this into the initial description of FinBERT: 'FinBERT is a BERT model pre-trained on financial communication text, specifically designed to achieve state-of-the-art performance on financial NLP tasks such as sentiment analysis, ESG classification, and crucial forward-looking statement (FLS) classification.'
  • mediumhomepage#2
    Add the project's homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://finbert.ai
  • lowtopics#3
    Add a more specific topic to highlight domain-specific NLP

    Why:

    CURRENT
    bert, financial-analysis, financial-sentiment-analysis, nlp, sentiment-analysis
    COPY-PASTE FIX
    bert, financial-analysis, financial-sentiment-analysis, nlp, sentiment-analysis, financial-nlp

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
1 / 2
50% of queries surface yya518/FinBERT
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
BERT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BERT · recommended 2×
  2. RoBERTa · recommended 2×
  3. XLNet · recommended 2×
  4. DistilBERT · recommended 1×
  5. VADER · recommended 1×
  • CATEGORY QUERY
    What are effective NLP models for sentiment analysis in financial news and reports?
    you: #1
    AI recommended (in order):
    1. FinBERT ← you
    2. BERT
    3. RoBERTa
    4. XLNet
    5. DistilBERT
    6. VADER
    Show full AI answer
  • CATEGORY QUERY
    How to accurately classify forward-looking statements in corporate financial documents using deep learning?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. TensorFlow
    4. BERT
    5. RoBERTa
    6. XLNet
    7. ELECTRA
    8. ProsusAI/finbert
    9. spaCy
    10. spacy-transformers
    11. Keras
    12. PyTorch Lightning
    13. FastText

    AI recommended 13 alternatives but never named yya518/FinBERT. 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 yya518/FinBERT?
    pass
    AI named yya518/FinBERT explicitly

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

  • If a team adopts yya518/FinBERT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yya518/FinBERT 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 yya518/FinBERT solve, and who is the primary audience?
    pass
    AI named yya518/FinBERT 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 yya518/FinBERT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/yya518/FinBERT.svg)](https://repogeo.com/en/r/yya518/FinBERT)
HTML
<a href="https://repogeo.com/en/r/yya518/FinBERT"><img src="https://repogeo.com/badge/yya518/FinBERT.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

yya518/FinBERT — 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
yya518/FinBERT — RepoGEO report