RRepoGEO

REPOGEO REPORT · LITE

zetane/viewer

Default branch initial · commit a48c4aa1 · scanned 6/21/2026, 6:56:56 PM

GitHub: 1,825 stars · 167 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
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 specific topics to the repository

    Why:

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

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a permissive open-source license like MIT.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://zetane.com

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorBoard · recommended 1×
  2. Weights & Biases (W&B) · recommended 1×
  3. Captum · recommended 1×
  4. PyTorchViz · recommended 1×
  5. Netron · recommended 1×
  • CATEGORY QUERY
    How to visualize internal tensors and feature maps within my machine learning models?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard
    2. Weights & Biases (W&B)
    3. Captum
    4. PyTorchViz
    5. Netron
    6. Matplotlib
    7. Seaborn
    8. OpenCV

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

    Show full AI answer
  • CATEGORY QUERY
    What tools help understand neural network architectures and data flow in 3D?
    you: not recommended
    AI recommended (in order):
    1. Netron (lutzroeder/netron)
    2. TensorBoard (tensorflow/tensorboard)
    3. PyTorch profiler (pytorch/pytorch)
    4. DeepView.js (deepviewjs/deepview.js)
    5. NN-SVG (alexlenail/NN-SVG)
    6. Matplotlib (matplotlib/matplotlib)
    7. Plotly (plotly/plotly.py)
    8. Open3D (isl-org/Open3D)

    AI recommended 8 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

Drop this badge into the README of zetane/viewer. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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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