RRepoGEO

REPOGEO REPORT · LITE

greentfrapp/lucent

Default branch dev · commit 2ccc434d · scanned 6/8/2026, 10:51:47 AM

GitHub: 658 stars · 95 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 greentfrapp/lucent, 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
    pytorch, deep-learning, feature-visualization, activation-maximization, neural-network-interpretation, computer-vision, lucid
  • mediumreadme#2
    Strengthen the README's opening sentence with keywords

    Why:

    CURRENT
    *PyTorch + Lucid = Lucent*

The wonderful Lucid library adapted for the wonderful PyTorch!
    COPY-PASTE FIX
    Lucent is a PyTorch-compatible re-implementation of Google's Lucid library, specializing in feature visualization and activation maximization for interpreting deep neural networks.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/greentfrapp/lucent-notebooks

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 greentfrapp/lucent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Captum
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Captum · recommended 1×
  2. PyTorch-Grad-CAM · recommended 1×
  3. Lucid · recommended 1×
  4. Deep-Viz · recommended 1×
  5. TorchRay · recommended 1×
  • CATEGORY QUERY
    How to perform feature visualization and interpret convolutional neural networks in PyTorch?
    you: not recommended
    AI recommended (in order):
    1. Captum
    2. PyTorch-Grad-CAM
    3. Lucid
    4. Deep-Viz
    5. TorchRay

    AI recommended 5 alternatives but never named greentfrapp/lucent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries help visualize and understand deep learning model behavior?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard (tensorflow/tensorboard)
    2. Weights & Biases (W&B) (wandb/wandb)
    3. PyTorch Lightning (Lightning-AI/pytorch-lightning)
    4. Captum (pytorch/captum)
    5. SHAP (SHapley Additive exPlanations) (shap/shap)
    6. LIME (Local Interpretable Model-agnostic Explanations) (marcotcr/lime)
    7. Netron (lutzroeder/netron)

    AI recommended 7 alternatives but never named greentfrapp/lucent. 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 greentfrapp/lucent?
    pass
    AI named greentfrapp/lucent explicitly

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

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

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

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greentfrapp/lucent — 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