REPOGEO REPORT · LITE

HenryNdubuaku/maths-cs-ai-compendium

Default branch main · commit 73ef896e · scanned 5/13/2026, 1:18:20 PM

GitHub: 3,714 stars · 505 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 HenryNdubuaku/maths-cs-ai-compendium, 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 README H1 and overview to explicitly state 'unconventional textbook for AI/ML Research Engineers'

Why:

CURRENT

# Maths, CS & AI Compendium

**Read online**: henryndubuaku.github.io/maths-cs-ai-compendium

## Overview
Most textbooks bury good ideas under dense notation, skip the intuition, assume you already know half the material, and quickly get outdated in fast-moving fields like AI. This is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. Written for curious practitioners looking to deeply understand the stuff, not just survive an exam/interview.

COPY-PASTE FIX

# Maths, CS & AI Compendium: An Unconventional Textbook for AI/ML Research Engineers

**Read online**: henryndubuaku.github.io/maths-cs-ai-compendium

## Overview
This open, unconventional textbook covers maths, computing, and artificial intelligence from the ground up. It's written for curious practitioners looking to deeply understand the stuff, not just survive an exam/interview, and aims to help you become a cracked AI/ML Research Engineer.

mediumabout#2
Add homepage URL to repository 'About' section
Why:
COPY-PASTE FIX
```
https://henryndubuaku.github.io/maths-cs-ai-compendium
```

mediumreadme#3

Enhance the 'MCP Server' section to highlight its unique differentiator for AI-assisted learning

Why:

CURRENT

## MCP Server
This repo includes an MCP server that lets any AI assistant (Claude Code, Cursor, VS Code, etc.) use the compendium as a knowledge base. It requires a local clone of the repo. Comes with tools for educational purposes and example implementations.

COPY-PASTE FIX

## Unique Feature: MCP Server (AI Knowledge Base)
This repository includes a powerful MCP server that lets any AI assistant (Claude Code, Cursor, VS Code, etc.) directly use the entire compendium as a comprehensive, up-to-date knowledge base. This unique feature requires a local clone of the repo and comes with tools for educational purposes and example implementations, making it an unparalleled resource for AI-assisted learning and research.

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 HenryNdubuaku/maths-cs-ai-compendium

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

fast.ai's "Practical Deep Learning for Coders"

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

fast.ai's "Practical Deep Learning for Coders" · recommended 1×
DeepLearning.AI's Deep Learning Specialization · recommended 1×
"Dive into Deep Learning" · recommended 1×
"The Hundred-Page Machine Learning Book" · recommended 1×
"Machine Learning Engineering" · recommended 1×

CATEGORY QUERY
Where can I find comprehensive, intuition-driven resources to master AI/ML research engineering fundamentals?
you: not recommended
AI recommended (in order):
1. fast.ai's "Practical Deep Learning for Coders"
2. DeepLearning.AI's Deep Learning Specialization
3. "Dive into Deep Learning"
4. "The Hundred-Page Machine Learning Book"
5. "Machine Learning Engineering"
6. PyTorch
7. TensorFlow
AI recommended 7 alternatives but never named HenryNdubuaku/maths-cs-ai-compendium. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best unconventional textbooks for deeply understanding machine learning and computer science concepts?
you: not recommended
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 HenryNdubuaku/maths-cs-ai-compendium?
pass
AI did not name HenryNdubuaku/maths-cs-ai-compendium — 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 HenryNdubuaku/maths-cs-ai-compendium in production, what risks or prerequisites should they evaluate first?
pass
AI named HenryNdubuaku/maths-cs-ai-compendium 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 HenryNdubuaku/maths-cs-ai-compendium solve, and who is the primary audience?
pass
AI did not name HenryNdubuaku/maths-cs-ai-compendium — 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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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite