REPOGEO REPORT · LITE

HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey

Default branch main · commit 1f7cde22 · scanned 6/12/2026, 1:32:53 AM

GitHub: 523 stars · 23 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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey, 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 to clarify it's a survey of papers

Why:

CURRENT

# World-Models-Autonomous-Driving-Latest-Survey
A curated list of world model for autonmous driving. Keep updated.

COPY-PASTE FIX

# World-Models-Autonomous-Driving-Latest-Survey: A Comprehensive Survey of World Models for Autonomous Driving
This repository provides a continuously updated, curated list and survey of research papers on world models specifically applied to autonomous driving. It serves as a resource for researchers and practitioners to explore leading architectures, methodologies, and advancements in this field.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0) to clearly state the terms of use for the survey content.

mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://arxiv.org/abs/2501.04969
```

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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DreamerV3

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

DreamerV3 · recommended 2×
LINGO-1 / GAIA-1 · recommended 1×
DriveSim / Constellation · recommended 1×
Occupancy Networks / Vector Space · recommended 1×
GPT-4V / DALL-E 3 · recommended 1×

CATEGORY QUERY
What are the leading world model architectures for autonomous driving research and development?
you: not recommended
AI recommended (in order):
1. LINGO-1 / GAIA-1
2. DreamerV3
3. DriveSim / Constellation
4. Occupancy Networks / Vector Space
5. GPT-4V / DALL-E 3
6. ImageBind
AI recommended 6 alternatives but never named HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I find resources on self-supervised spatial world models for autonomous driving with LiDAR?
you: not recommended
AI recommended (in order):
1. Waymo Open Dataset
2. nuScenes Dataset
3. CARLA Simulator
4. DreamerV3
5. DreamerV2
6. Dreamer
7. PCaaS
8. OpenPCDet
9. MMDetection3D
AI recommended 9 alternatives but never named HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey. 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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey?
pass
AI did not name HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey — 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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey in production, what risks or prerequisites should they evaluate first?
pass
AI named HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey 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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey solve, and who is the primary audience?
pass
AI did not name HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey — 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 HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey. 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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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite