RRepoGEO

REPOGEO REPORT · LITE

ncbi-nlp/bluebert

Default branch master · commit f4b8af9d · scanned 6/10/2026, 11:02:48 AM

GitHub: 595 stars · 80 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
52 /100
Needs work
Category recall
1 / 2
Avg rank #6.0 when recommended
Rule findings
2 pass · 0 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 ncbi-nlp/bluebert, 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
    Move the core value proposition to the very top of the README

    Why:

    CURRENT
    **\*\*\*\*\* New Nov 1st, 2020: BlueBERT can be found at huggingface \*\*\*\*\\*\*\*\*\* New Dec 5th, 2019: NCBI_BERT is renamed to BlueBERT \*\*\*\*\\*\*\*\*\* New July 11th, 2019: preprocessed PubMed texts \*\*\*\*We uploaded the preprocessed PubMed texts that were used to pre-train the BlueBERT models.
    COPY-PASTE FIX
    This repository provides codes and models of BlueBERT, pre-trained on PubMed abstracts (biomedical research papers) and clinical notes (MIMIC-III), offering state-of-the-art performance for biomedical natural language processing tasks. The preprocessed PubMed texts used for training are also available.
  • mediumlicense#2
    Add a clear statement about the repository's license to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, for example: ## License This project is released under [Specify License Name(s) here, e.g., a custom license combining X and Y]. Please refer to the [LICENSE](LICENSE) file for full details.
  • lowtopics#3
    Add more specific topics to improve domain visibility

    Why:

    CURRENT
    bert, bert-model, language-model, mimic-iii, natural-language-processing, pubmed, pubmed-abstracts
    COPY-PASTE FIX
    bert, bert-model, language-model, mimic-iii, natural-language-processing, pubmed, pubmed-abstracts, biomedical-nlp, clinical-nlp, biomedical-research

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 ncbi-nlp/bluebert
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
BioBERT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BioBERT · recommended 2×
  2. ClinicalBERT · recommended 2×
  3. PubMedBERT · recommended 2×
  4. BioMegatron · recommended 2×
  5. SciBERT · recommended 2×
  • CATEGORY QUERY
    What are good pre-trained language models for analyzing medical text and clinical notes?
    you: #6
    AI recommended (in order):
    1. BioBERT
    2. ClinicalBERT
    3. PubMedBERT
    4. BioMegatron
    5. SciBERT
    6. BlueBERT ← you
    7. GatorTron
    Show full AI answer
  • CATEGORY QUERY
    I need a BERT-like model for natural language processing of biomedical research papers.
    you: not recommended
    AI recommended (in order):
    1. BioBERT
    2. PubMedBERT
    3. ClinicalBERT
    4. SciBERT
    5. BioMegatron

    AI recommended 5 alternatives but never named ncbi-nlp/bluebert. 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 ncbi-nlp/bluebert?
    pass
    AI did not name ncbi-nlp/bluebert — 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 ncbi-nlp/bluebert in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ncbi-nlp/bluebert 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 ncbi-nlp/bluebert solve, and who is the primary audience?
    pass
    AI named ncbi-nlp/bluebert 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 ncbi-nlp/bluebert. 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/ncbi-nlp/bluebert.svg)](https://repogeo.com/en/r/ncbi-nlp/bluebert)
HTML
<a href="https://repogeo.com/en/r/ncbi-nlp/bluebert"><img src="https://repogeo.com/badge/ncbi-nlp/bluebert.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ncbi-nlp/bluebert — 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