RRepoGEO

REPOGEO REPORT · LITE

bytedance/ibot

Default branch main · commit da316d82 · scanned 6/14/2026, 11:07:27 PM

GitHub: 775 stars · 93 forks

AI VISIBILITY SCORE
61 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 when recommended
Rule findings
2 pass · 0 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 bytedance/ibot, 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
    Reposition README H1 and opening sentence to clarify computer vision domain

    Why:

    CURRENT
    # Image BERT Pre-Training with iBOT

Official PyTorch implementation and pre-trained models for paper **iBOT: Image BERT Pre-Training with Online Tokenizer**.
    COPY-PASTE FIX
    # iBOT: Self-Supervised Image BERT Pre-Training for Computer Vision

This repository provides the official PyTorch implementation and pre-trained models for **iBOT: Image BERT Pre-Training with Online Tokenizer**, a novel self-supervised learning framework specifically designed for computer vision tasks.
  • highabout#2
    Update repository description to explicitly state computer vision focus

    Why:

    CURRENT
    iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
    COPY-PASTE FIX
    iBOT: Self-supervised Image BERT Pre-Training with Online Tokenizer for computer vision (ICLR 2022).
  • mediumtopics#3
    Expand repository topics with specific computer vision and self-supervised learning terms

    Why:

    CURRENT
    ibot, research, ssl
    COPY-PASTE FIX
    ibot, self-supervised-learning, computer-vision, masked-image-modeling, vision-transformer, image-pretraining, object-detection, semantic-segmentation, deep-learning, pytorch

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 bytedance/ibot
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
MAE
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MAE · recommended 2×
  2. open-mmlab/mmselfsup · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. open-mmlab/mmdetection · recommended 1×
  5. DINO / DINOv2 · recommended 1×
  • CATEGORY QUERY
    How to pre-train vision models using self-supervised learning for object detection tasks?
    you: not recommended
    AI recommended (in order):
    1. MMSelfSup (open-mmlab/mmselfsup)
    2. PyTorch (pytorch/pytorch)
    3. MMDetection (open-mmlab/mmdetection)
    4. MAE
    5. DINO / DINOv2
    6. MoCo v3
    7. PyTorch Image Models (timm) (rwightman/pytorch-image-models)
    8. Detectron2 (facebookresearch/detectron2)
    9. SimCLR / MoCo
    10. SwAV
    11. Lightly (lightly-ai/lightly)
    12. BYOL
    13. VICReg
    14. Solo-learn (vturrisi/solo-learn)
    15. Barlow Twins
    16. SimSiam

    AI recommended 16 alternatives but never named bytedance/ibot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for masked image modeling to improve downstream transferability?
    you: #5
    AI recommended (in order):
    1. MAE
    2. BEiT
    3. Data2vec
    4. SimMIM
    5. iBOT ← you
    6. PeCo
    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 bytedance/ibot?
    pass
    AI named bytedance/ibot explicitly

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

  • If a team adopts bytedance/ibot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bytedance/ibot 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 bytedance/ibot solve, and who is the primary audience?
    pass
    AI named bytedance/ibot 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
  • Prioritized action items8 vs 3 in Lite