RRepoGEO

REPOGEO REPORT · LITE

jackroos/VL-BERT

Default branch master · commit 4373674c · scanned 6/2/2026, 1:28:07 PM

GitHub: 745 stars · 110 forks

AI VISIBILITY SCORE
60 /100
Needs work
Category recall
1 / 2
Avg rank #4.0 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 jackroos/VL-BERT, 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
    Strengthen README's pre-training utility statement

    Why:

    CURRENT
    This repository is an official implementation of the paper VL-BERT: Pre-training of Generic Visual-Linguistic Representations.
    COPY-PASTE FIX
    This repository is an official implementation of the paper VL-BERT: Pre-training of Generic Visual-Linguistic Representations. It provides the code and pre-trained models for researchers to replicate or build upon state-of-the-art visual-linguistic pre-training.
  • mediumabout#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://openreview.net/forum?id=SygXPaEYvH
  • lowreadme#3
    Explicitly name pre-training datasets in README

    Why:

    CURRENT
    It is pre-trained on the massive-scale caption dataset and text-only corpus,
    COPY-PASTE FIX
    It is pre-trained on massive-scale datasets such as [INSERT SPECIFIC CAPTION DATASET NAME(S) HERE, e.g., Conceptual Captions, SBU Captions] and [INSERT SPECIFIC TEXT CORPUS NAME(S) HERE, e.g., Wikipedia, BookCorpus], and can be fine-tuned...

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 jackroos/VL-BERT
Avg rank
#4.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 1×
  2. ALIGN · recommended 1×
  3. BLIP · recommended 1×
  4. ViLT · recommended 1×
  5. OFA · recommended 1×
  • CATEGORY QUERY
    How to pre-train a model for understanding both visual and linguistic information?
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. ALIGN
    3. BLIP
    4. ViLT
    5. OFA
    6. FLAVA
    7. CoCa

    AI recommended 7 alternatives but never named jackroos/VL-BERT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch-based framework for visual question answering using pre-trained representations.
    you: #4
    AI recommended (in order):
    1. MMAction2 (open-mmlab/mmaction2)
    2. Hugging Face Transformers (huggingface/transformers)
    3. Detectron2 (facebookresearch/detectron2)
    4. VL-BERT ← you
    5. M4C
    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 jackroos/VL-BERT?
    pass
    AI named jackroos/VL-BERT explicitly

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

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

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

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jackroos/VL-BERT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite