RRepoGEO

REPOGEO REPORT · LITE

zetane/viewer

Default branch initial · commit a48c4aa1 · scanned 5/11/2026, 2:02:23 PM

GitHub: 1,785 stars · 160 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zetane/viewer, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    machine-learning, deep-learning, neural-networks, visualization, 3d-visualization, tensor-visualization, model-debugging, onnx
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) or explicitly state the licensing terms in the README if a custom license applies.
  • mediumreadme#3
    Reposition the README's opening paragraph to highlight 3D visualization of internal tensors

    Why:

    CURRENT
    The __free Zetane Viewer__ is a tool to help understand and accelerate discovery in machine learning and artificial neural networks. It can be used to open the AI black box by visualizing and understanding the model's architecture and internal data (feature maps, weights, biases and layers output tensors). It can be thought of as a tool to do neuroimaging or brain imaging for artificial neural networks and machine learning algorithms.
    COPY-PASTE FIX
    The __free Zetane Viewer__ is an interactive 3D visualization tool for deep learning and machine learning models, designed to open the AI black box. It allows engineers and researchers to visualize and understand model architecture and internal tensors (feature maps, weights, biases, and layer outputs) in 3D, accelerating discovery and debugging.

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 zetane/viewer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorBoard
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorBoard · recommended 2×
  2. PyTorch profiler · recommended 1×
  3. Netron · recommended 1×
  4. Captum · recommended 1×
  5. Lobe · recommended 1×
  • CATEGORY QUERY
    How can I visualize internal tensors and architecture of my machine learning models?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard
    2. PyTorch profiler
    3. Netron
    4. Captum
    5. Lobe
    6. Matplotlib
    7. Seaborn
    8. Plotly

    AI recommended 8 alternatives but never named zetane/viewer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help debug and understand deep learning models through 3D visualization?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard
    2. Open3D
    3. vedo
    4. PyTorch3D
    5. MONAI
    6. K3D-jupyter

    AI recommended 6 alternatives but never named zetane/viewer. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 zetane/viewer?
    pass
    AI named zetane/viewer explicitly

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

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