RRepoGEO

REPOGEO REPORT · LITE

VikParuchuri/zero_to_gpt

Default branch master · commit 81cf89f6 · scanned 5/21/2026, 9:53:35 PM

GitHub: 1,297 stars · 224 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 VikParuchuri/zero_to_gpt, 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
  • highhomepage#1
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://your-course-website.com (replace with actual URL if available, otherwise consider creating one)
  • highreadme#2
    Strengthen README's unique positioning as a course, not a library

    Why:

    CURRENT
    This course will take you from no knowledge of deep learning to training your own GPT model.
    COPY-PASTE FIX
    This comprehensive course will take you from no deep learning knowledge to training your own GPT model from scratch. Unlike general deep learning libraries or frameworks, Zero to GPT is a structured, hands-on learning path designed to build your understanding of LLMs from first principles.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    deep-learning, python, pytorch, tutorial
    COPY-PASTE FIX
    deep-learning, python, pytorch, tutorial, llm, gpt, course, machine-learning-course

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 VikParuchuri/zero_to_gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/pytorch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 1×
  2. tensorflow/tensorflow · recommended 1×
  3. scikit-learn/scikit-learn · recommended 1×
  4. keras-team/keras · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    I need a beginner-friendly guide to master deep learning and build my own LLM.
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TensorFlow (tensorflow/tensorflow)
    3. Scikit-Learn (scikit-learn/scikit-learn)
    4. Keras (keras-team/keras)
    5. Hugging Face `transformers` (huggingface/transformers)
    6. Hugging Face `datasets` (huggingface/datasets)
    7. OpenAI's GPT models
    8. Lit-GPT (Lightning-AI/lit-gpt)

    AI recommended 8 alternatives but never named VikParuchuri/zero_to_gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch-based course to understand large language models and their training.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Large Language Models with Semantic Search"
    2. PyTorch
    3. Hugging Face
    4. Hugging Face's "Natural Language Processing with Transformers"
    5. Hugging Face Transformers library
    6. fast.ai's "Practical Deep Learning for Coders"
    7. fastai library
    8. Stanford CS224N: Natural Language Processing with Deep Learning
    9. Udemy's "PyTorch: Deep Learning and Artificial Intelligence"

    AI recommended 9 alternatives but never named VikParuchuri/zero_to_gpt. 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 VikParuchuri/zero_to_gpt?
    pass
    AI did not name VikParuchuri/zero_to_gpt — 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 VikParuchuri/zero_to_gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VikParuchuri/zero_to_gpt 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 VikParuchuri/zero_to_gpt solve, and who is the primary audience?
    pass
    AI did not name VikParuchuri/zero_to_gpt — 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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VikParuchuri/zero_to_gpt — 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