REPOGEO REPORT · LITE

mathiasmantelli/awesome-mobile-robotics

Default branch master · commit 2c383e52 · scanned 6/16/2026, 3:17:59 AM

GitHub: 712 stars · 109 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 mathiasmantelli/awesome-mobile-robotics, 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 opening sentence to clarify its nature as a curated list of external resources.

Why:

CURRENT

My personal list of important content related to Mobile Robotics and AI. Feel free to send me some suggestions: mathiasfassini@gmail.com

COPY-PASTE FIX

A curated and comprehensive awesome list of important external content and resources related to Mobile Robotics and AI. Feel free to send me some suggestions: mathiasfassini@gmail.com

mediumlicense#2

Add a LICENSE file to clarify terms for the list's content.

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the root with the CC0-1.0 license text, or add a section to the README stating: "This awesome list is licensed under the Creative Commons Zero v1.0 Universal license (CC0-1.0)."

lowhomepage#3
Add the repository URL as the homepage.
Why:
COPY-PASTE FIX
```
https://github.com/mathiasmantelli/awesome-mobile-robotics
```

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 mathiasmantelli/awesome-mobile-robotics

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ROS (Robot Operating System)

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

ROS (Robot Operating System) · recommended 2×
Coursera · recommended 1×
edX · recommended 1×
Probabilistic Robotics · recommended 1×
Robotics, Vision and Control · recommended 1×

CATEGORY QUERY
Where can I find comprehensive learning resources for mobile robotics and autonomous systems?
you: not recommended
AI recommended (in order):
1. ROS (Robot Operating System)
2. Coursera
3. edX
4. Probabilistic Robotics
5. Robotics, Vision and Control
6. IEEE Robotics and Automation Society (RAS)
7. YouTube
8. The Construct
9. Robotics Stack Exchange
10. Dr. Rainer Hessmer
AI recommended 10 alternatives but never named mathiasmantelli/awesome-mobile-robotics. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best software tools and datasets for developing SLAM and localization applications?
you: not recommended
AI recommended (in order):
1. ROS (Robot Operating System)
2. OpenCV
3. PCL (Point Cloud Library)
4. GTSAM (Georgia Tech Smoothing and Mapping)
5. ORB-SLAM3
6. Cartographer (Google)
7. LOAM (LiDAR Odometry and Mapping)
8. KITTI Vision Benchmark Suite
9. EuRoC MAV Dataset
10. TUM RGB-D Dataset
11. ApolloScape Dataset
12. New College Dataset
13. Oxford RobotCar Dataset
14. ETH3D Dataset
AI recommended 14 alternatives but never named mathiasmantelli/awesome-mobile-robotics. 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 mathiasmantelli/awesome-mobile-robotics?
pass
AI did not name mathiasmantelli/awesome-mobile-robotics — 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 mathiasmantelli/awesome-mobile-robotics in production, what risks or prerequisites should they evaluate first?
pass
AI named mathiasmantelli/awesome-mobile-robotics 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 mathiasmantelli/awesome-mobile-robotics solve, and who is the primary audience?
pass
AI did not name mathiasmantelli/awesome-mobile-robotics — 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 mathiasmantelli/awesome-mobile-robotics. 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)

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mathiasmantelli/awesome-mobile-robotics — 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