REPOGEO REPORT · LITE

jonyzhang2023/awesome-embodied-vla-va-vln

Default branch main · commit c0ad80f7 · scanned 6/29/2026, 3:32:34 AM

GitHub: 3,305 stars · 150 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

17 /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

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 jonyzhang2023/awesome-embodied-vla-va-vln, 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

hightopics#1

Add relevant topics to the repository

Why:

CURRENT

(none)

COPY-PASTE FIX

awesome-list, embodied-ai, vision-language-action, vla, vision-language-navigation, vln, robot-learning, multimodal-learning, research-papers, state-of-the-art

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the list's content and contributions.

mediumhomepage#3
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/jonyzhang2023/awesome-embodied-vla-va-vln
```

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 jonyzhang2023/awesome-embodied-vla-va-vln

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

RT-2 (Robotics Transformer 2)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

RT-2 (Robotics Transformer 2) · recommended 1×
PaLM-E (Pathways Language Model Embodiment) · recommended 1×
SayCan · recommended 1×
Inner Monologue · recommended 1×
Diffusion Policy · recommended 1×

CATEGORY QUERY
What are the latest advancements in vision-language-action models for embodied AI systems?
you: not recommended
AI recommended (in order):
1. RT-2 (Robotics Transformer 2)
2. PaLM-E (Pathways Language Model Embodiment)
3. SayCan
4. Inner Monologue
5. Diffusion Policy
6. VIMA (Vision-Language-Action Model)
AI recommended 6 alternatives but never named jonyzhang2023/awesome-embodied-vla-va-vln. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find cutting-edge research on robot learning with multimodal vision and language?
you: not recommended
AI recommended (in order):
1. Google AI Blog
2. DeepMind Blog
3. arXiv
4. Robotics: Science and Systems (RSS) Conference
5. International Conference on Robotics and Automation (ICRA)
6. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
7. Conference on Robot Learning (CoRL)
8. NeurIPS (Conference on Neural Information Processing Systems)
9. ICML (International Conference on Machine Learning)
10. OpenAI Blog
AI recommended 10 alternatives but never named jonyzhang2023/awesome-embodied-vla-va-vln. 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 jonyzhang2023/awesome-embodied-vla-va-vln?
pass
AI did not name jonyzhang2023/awesome-embodied-vla-va-vln — 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 jonyzhang2023/awesome-embodied-vla-va-vln in production, what risks or prerequisites should they evaluate first?
pass
AI named jonyzhang2023/awesome-embodied-vla-va-vln 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 jonyzhang2023/awesome-embodied-vla-va-vln solve, and who is the primary audience?
pass
AI did not name jonyzhang2023/awesome-embodied-vla-va-vln — 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 jonyzhang2023/awesome-embodied-vla-va-vln. 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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HTML

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jonyzhang2023/awesome-embodied-vla-va-vln — 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