REPOGEO REPORT · LITE

dvgodoy/PyTorchStepByStep

Default branch master · commit d837dec7 · scanned 6/25/2026, 3:58:25 PM

GitHub: 1,457 stars · 504 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 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 dvgodoy/PyTorchStepByStep, 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

Reposition the primary book's description to the top of the README

Why:

CURRENT

The current README starts with the LLM book section.

COPY-PASTE FIX

Move the section describing "Deep Learning with PyTorch Step-by-Step" and its contents (e.g., "This is the official repository of my book...") to appear immediately after the main H1 title, before any mention of the LLM book.

mediumtopics#2

Add topics clarifying the repository's nature as a book companion

Why:

CURRENT

cnn-pytorch, deep-learning, python, pytorch, pytorch-tutorial, rnn-pytorch

COPY-PASTE FIX

cnn-pytorch, deep-learning, python, pytorch, pytorch-tutorial, rnn-pytorch, deep-learning-book, pytorch-book, course-materials

lowreadme#3

Add a concise "What You'll Learn" or "Key Features" section to the README

Why:

COPY-PASTE FIX

Insert a new section, e.g., "## What You'll Learn" or "## Key Features", summarizing the core educational value such as "Step-by-step PyTorch fundamentals", "Practical CNN and RNN implementations", "Reproducible code examples for every chapter", "Beginner-friendly deep learning concepts".

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 dvgodoy/PyTorchStepByStep

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyTorch Official Tutorials

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

PyTorch Official Tutorials · recommended 1×
Fast.ai · recommended 1×
PyTorch for Deep Learning & Machine Learning - Full Course · recommended 1×
PyTorch Fundamentals by Google Developers · recommended 1×
Deep Learning with PyTorch · recommended 1×

CATEGORY QUERY
Looking for a beginner-friendly PyTorch tutorial with step-by-step deep learning code examples.
you: not recommended
AI recommended (in order):
1. PyTorch Official Tutorials
2. Fast.ai
3. PyTorch for Deep Learning & Machine Learning - Full Course
4. PyTorch Fundamentals by Google Developers
5. Deep Learning with PyTorch
AI recommended 5 alternatives but never named dvgodoy/PyTorchStepByStep. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need practical PyTorch notebooks to understand CNN and RNN implementations thoroughly.
you: not recommended
AI recommended (in order):
1. PyTorch Examples (pytorch/examples)
2. Deep Learning with PyTorch: A 60 Minute Blitz
3. fast.ai Course Notebooks (fastai/fastai)
4. PyTorch-NLP
5. Yannic Kilcher's "PyTorch from Scratch" Series
6. Sentdex PyTorch Tutorials
7. Machine Learning Mastery
AI recommended 7 alternatives but never named dvgodoy/PyTorchStepByStep. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 dvgodoy/PyTorchStepByStep?
pass
AI named dvgodoy/PyTorchStepByStep explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts dvgodoy/PyTorchStepByStep in production, what risks or prerequisites should they evaluate first?
pass
AI named dvgodoy/PyTorchStepByStep 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 dvgodoy/PyTorchStepByStep solve, and who is the primary audience?
pass
AI did not name dvgodoy/PyTorchStepByStep — 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?

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MARKDOWN (README)

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dvgodoy/PyTorchStepByStep — 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