REPOGEO REPORT · LITE

leomaurodesenv/game-datasets

Default branch master · commit bada0406 · scanned 6/19/2026, 5:42:58 PM

GitHub: 1,075 stars · 80 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 leomaurodesenv/game-datasets, 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 README's core value proposition

Why:

CURRENT

The README currently starts with definitions of Artificial Intelligence and Data Mining before stating the repository's purpose.

COPY-PASTE FIX

Add this sentence directly after the main H1 title: 'A curated list of game datasets, tools, and materials specifically for Artificial Intelligence (AI) and Data Mining (DM) applications in digital games.'

highhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/leomaurodesenv/game-datasets
```

mediumtopics#3

Expand repository topics to include 'machine-learning' and 'curated-list'

Why:

CURRENT

artificial-intelligence, awesome, awesome-game, awesome-list, data-mining, database, dataset, game, games

COPY-PASTE FIX

artificial-intelligence, awesome, awesome-game, awesome-list, data-mining, database, dataset, game, games, machine-learning, curated-list

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 leomaurodesenv/game-datasets

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Kaggle

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Kaggle · recommended 1×
UCI Machine Learning Repository · recommended 1×
Hugging Face Datasets · recommended 1×
RoboCup Datasets · recommended 1×
OpenGameArt.org · recommended 1×

CATEGORY QUERY
Where can I find diverse datasets for training AI models in game development?
you: not recommended
AI recommended (in order):
1. Kaggle
2. UCI Machine Learning Repository
3. Hugging Face Datasets
4. RoboCup Datasets
5. OpenGameArt.org
6. itch.io
7. SteamSpy
8. Steam API
AI recommended 8 alternatives but never named leomaurodesenv/game-datasets. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What resources exist for applying data mining and AI techniques to video game analysis?
you: not recommended
AI recommended (in order):
1. Unity Analytics
2. GameAnalytics
3. Google Analytics for Firebase
4. Python
5. Pandas
6. NumPy
7. Scikit-learn
8. TensorFlow
9. PyTorch
10. R
11. dplyr
12. ggplot2
13. caret
14. tidymodels
15. PostgreSQL
16. MySQL
17. Google BigQuery
18. Amazon Redshift
19. Tableau
20. Power BI
21. Looker Studio
22. Apache Spark
23. OpenAI Gym
24. Unity ML-Agents
AI recommended 24 alternatives but never named leomaurodesenv/game-datasets. 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 leomaurodesenv/game-datasets?
pass
AI did not name leomaurodesenv/game-datasets — 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 leomaurodesenv/game-datasets in production, what risks or prerequisites should they evaluate first?
pass
AI named leomaurodesenv/game-datasets 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 leomaurodesenv/game-datasets solve, and who is the primary audience?
pass
AI did not name leomaurodesenv/game-datasets — 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 leomaurodesenv/game-datasets. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/leomaurodesenv/game-datasets.svg)](https://repogeo.com/en/r/leomaurodesenv/game-datasets)

HTML

<a href="https://repogeo.com/en/r/leomaurodesenv/game-datasets"><img src="https://repogeo.com/badge/leomaurodesenv/game-datasets.svg" alt="RepoGEO" /></a>

Pro

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leomaurodesenv/game-datasets — 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