REPOGEO REPORT · LITE

raiyanyahya/how-to-train-your-gpt

Default branch master · commit ed4858f2 · scanned 5/7/2026, 6:23:15 PM

GitHub: 654 stars · 82 forks

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 raiyanyahya/how-to-train-your-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

highreadme#1

Clarify README's core purpose upfront to counter miscategorization

Why:

CURRENT

# 🧠 How to Train Your GPT

> *A guide to building a world-class language model from absolute scratch. Taught like you're five. Built like you're an engineer.*

COPY-PASTE FIX

# 🧠 How to Train Your GPT

> *A guide to building a world-class language model from absolute scratch. Taught like you're five. Built like you're an engineer.*
>
> **This is not a guide for fine-tuning existing LLMs or using API wrappers.** Instead, you will build every component yourself.

mediumabout#2

Refine the 'About' description for clarity

Why:

CURRENT

Build a modern LLM from scratch. Every line commented. Explained like we are five.

COPY-PASTE FIX

An interactive textbook to build a modern LLM from scratch. Every line commented and explained for beginners, not for fine-tuning existing models.

mediumhomepage#3

Add a homepage URL to the repository metadata

Why:

COPY-PASTE FIX

Add a relevant URL (e.g., a dedicated course page, blog post, or GitHub Pages for the repo) to the 'Homepage' field in the repository settings.

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 raiyanyahya/how-to-train-your-gpt

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

pytorch/pytorch

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

pytorch/pytorch · recommended 1×
tensorflow/tensorflow · recommended 1×
keras-team/keras · recommended 1×
huggingface/transformers · recommended 1×
tensorflow/tensorboard · recommended 1×

CATEGORY QUERY
How can I learn to build a large language model from fundamental components?
you: not recommended
AI recommended (in order):
1. PyTorch (pytorch/pytorch)
2. TensorFlow (tensorflow/tensorflow)
3. Keras (keras-team/keras)
4. Hugging Face Transformers (huggingface/transformers)
5. TensorBoard (tensorflow/tensorboard)
6. Weights & Biases (wandb/wandb)
7. SentencePiece (google/sentencepiece)
8. tiktoken (openai/tiktoken)
9. CUDA
10. cuDNN
11. DeepSpeed (microsoft/DeepSpeed)
12. FairScale (facebookresearch/fairscale)
AI recommended 12 alternatives but never named raiyanyahya/how-to-train-your-gpt. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find a beginner-friendly guide to implement transformer architecture from scratch?
you: not recommended
AI recommended (in order):
1. The Illustrated Transformer
2. Transformer From Scratch in PyTorch
3. Let's build GPT: from scratch, in code, spelled out.
4. TensorFlow's Official Transformer Tutorial
5. The Annotated Transformer
6. Build a Minimal Transformer From Scratch
7. Hugging Face Transformers Library Documentation
AI recommended 7 alternatives but never named raiyanyahya/how-to-train-your-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 raiyanyahya/how-to-train-your-gpt?
pass
AI did not name raiyanyahya/how-to-train-your-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 raiyanyahya/how-to-train-your-gpt in production, what risks or prerequisites should they evaluate first?
pass
AI named raiyanyahya/how-to-train-your-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 raiyanyahya/how-to-train-your-gpt solve, and who is the primary audience?
pass
AI did not name raiyanyahya/how-to-train-your-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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MARKDOWN (README)

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HTML

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