RRepoGEO

REPOGEO REPORT · LITE

opendatalab/labelU

Default branch main · commit 460fd216 · scanned 5/25/2026, 1:41:38 AM

GitHub: 1,575 stars · 177 forks

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 opendatalab/labelU, 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
    Add a clear, descriptive H1 to the README

    Why:

    CURRENT
    <h1></h1>
    COPY-PASTE FIX
    # LabelU: Open-source Multimodal Data Annotation Platform with AI Auto-annotation
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    data-annotation, multimodal, computer-vision, nlp, audio-processing, machine-learning, ai-tools, open-source, semantic-segmentation, object-detection, video-annotation
  • mediumreadme#3
    Strengthen the README's 'Product Introduction' for competitive positioning

    Why:

    CURRENT
    LabelU is a comprehensive data annotation platform designed for handling multimodal data. It offers a range of advanced annotation tools and efficient workflows, making it easier for users to tackle annotation tasks involving images, videos, and audio. LabelU is tailored to meet the demands of complex data analysis and model training.
    COPY-PASTE FIX
    LabelU is a comprehensive, open-source multimodal data annotation platform designed for handling diverse AI training data, including images, videos, and audio. With advanced annotation tools and efficient workflows, LabelU stands out by offering integrated AI auto-annotation support across various data types, making it easier for teams to accelerate complex data analysis and model training tasks.

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 opendatalab/labelU
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Label Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Label Studio · recommended 2×
  2. CVAT · recommended 2×
  3. Audioseg · recommended 1×
  4. VoTT · recommended 1×
  5. Doccano · recommended 1×
  • CATEGORY QUERY
    What open-source platform helps with image, video, and audio data labeling?
    you: not recommended
    AI recommended (in order):
    1. Label Studio
    2. CVAT
    3. Audioseg
    4. VoTT
    5. Doccano

    AI recommended 5 alternatives but never named opendatalab/labelU. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool for AI-assisted semantic segmentation and object detection annotation.
    you: not recommended
    AI recommended (in order):
    1. Label Studio
    2. CVAT
    3. SuperAnnotate
    4. VGG Image Annotator
    5. Scale AI
    6. Roboflow

    AI recommended 6 alternatives but never named opendatalab/labelU. 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 opendatalab/labelU?
    pass
    AI named opendatalab/labelU explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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opendatalab/labelU — 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