RRepoGEO

REPOGEO REPORT · LITE

udacity/deep-learning

Default branch master · commit 6d8bdf65 · scanned 6/19/2026, 6:43:11 PM

GitHub: 4,058 stars · 4,411 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
22 /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
1 / 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 udacity/deep-learning, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Refine README opening to emphasize educational program and beginner-friendliness

    Why:

    CURRENT
    This repository contains material related to Udacity's Deep Learning Nanodegree Foundation program. It consists of a bunch of tutorial notebooks for various deep learning topics.
    COPY-PASTE FIX
    This is the official repository for Udacity's Deep Learning Nanodegree Foundation program, offering comprehensive, beginner-friendly educational materials and practical tutorial notebooks for various deep learning topics and hands-on projects.
  • lowabout#2
    Update the repository description to include 'projects'

    Why:

    CURRENT
    Repo for the Deep Learning Nanodegree Foundations program.
    COPY-PASTE FIX
    Official repository for Udacity's Deep Learning Nanodegree Foundations program, featuring educational materials, tutorials, and hands-on projects.

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 udacity/deep-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 2×
  2. fastai/fastai · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. keras-team/keras · recommended 1×
  • CATEGORY QUERY
    Where can I find beginner-friendly deep learning tutorials with practical code examples?
    you: not recommended
    AI recommended (in order):
    1. fast.ai (fastai/fastai)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Keras (keras-team/keras)
    5. Coursera
    6. freeCodeCamp

    AI recommended 6 alternatives but never named udacity/deep-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for resources to learn building neural networks using TensorFlow for image processing.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Documentation
    2. tf.keras
    3. tf.data
    4. TensorFlow Lite Model Maker
    5. DeepLearning.AI TensorFlow in Practice Specialization
    6. Coursera
    7. Scikit-Learn
    8. Keras
    9. TensorFlow
    10. TensorFlow Examples
    11. Keras Documentation
    12. freeCodeCamp.org
    13. sentdex
    14. Krish Naik

    AI recommended 14 alternatives but never named udacity/deep-learning. 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 udacity/deep-learning?
    pass
    AI did not name udacity/deep-learning — likely talking about a different project

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

  • If a team adopts udacity/deep-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named udacity/deep-learning 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 udacity/deep-learning solve, and who is the primary audience?
    pass
    AI did not name udacity/deep-learning — likely talking about a different project

    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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udacity/deep-learning — 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