REPOGEO REPORT · LITE

krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025

Default branch main · commit 5273fa13 · scanned 6/20/2026, 12:17:56 PM

GitHub: 5,046 stars · 1,872 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

23 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025, 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

highabout#1

Add a concise description to the About section

Why:

COPY-PASTE FIX

A comprehensive, curated roadmap for beginners to learn Generative AI in 2025, covering prerequisites, ML/NLP basics, deep learning, and advanced generative models.

mediumreadme#2

Add a clear introductory sentence to the README

Why:

CURRENT

# Roadmap To Learn Generative AI In 2025

## Prerequisites

COPY-PASTE FIX

# Roadmap To Learn Generative AI In 2025

This repository provides a comprehensive and structured learning roadmap for beginners aiming to master Generative AI in 2025. It covers essential prerequisites, fundamental machine learning and deep learning concepts, and advanced generative models.

## Prerequisites

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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google's Generative AI Learning Path on Coursera

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google's Generative AI Learning Path on Coursera · recommended 1×
huggingface/transformers · recommended 1×
pytorch/pytorch · recommended 1×
tensorflow/tensorflow · recommended 1×
Kaggle · recommended 1×

CATEGORY QUERY
How to start learning generative AI from scratch as a beginner?
you: not recommended
AI recommended (in order):
1. Google's Generative AI Learning Path on Coursera
2. Hugging Face Transformers Library (huggingface/transformers)
3. PyTorch (pytorch/pytorch)
4. TensorFlow (tensorflow/tensorflow)
5. Kaggle
6. Fast.ai (fastai/fastai)
7. OpenAI API
AI recommended 7 alternatives but never named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the essential prerequisites for mastering generative AI development?
you: not recommended
AI recommended (in order):
1. Real Python
2. 3Blue1Brown
3. Khan Academy
4. LeetCode
5. Coursera
6. Scikit-Learn
7. Keras
8. TensorFlow
9. PyTorch
AI recommended 9 alternatives but never named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
fail
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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025?
pass
AI named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 in production, what risks or prerequisites should they evaluate first?
pass
AI named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 solve, and who is the primary audience?
pass
AI did not name krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 — 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

Drop this badge into the README of krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025.svg)](https://repogeo.com/en/r/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025)

HTML

<a href="https://repogeo.com/en/r/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025"><img src="https://repogeo.com/badge/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 — 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