RRepoGEO

REPOGEO REPORT · LITE

jonyzhang2023/awesome-embodied-vla-va-vln

Default branch main · commit aebd8a90 · scanned 5/17/2026, 10:17:36 PM

GitHub: 3,105 stars · 138 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
10 /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
0 / 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 specific topics to clarify repo type and content

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    awesome-list, curated-list, embodied-ai, vision-language-action, vla, vision-language-navigation, vln, multimodal-learning, robotics, robot-learning, research-papers
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    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
0%
Of all named tools, what % are you?
Top rival
Perceiver IO
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Perceiver IO · recommended 2×
  2. RT-X · recommended 1×
  3. Dactyl · recommended 1×
  4. Habitat · recommended 1×
  5. Ego-Exo4D · recommended 1×
  • CATEGORY QUERY
    What are the latest research advancements in embodied AI for robotic learning applications?
    you: not recommended
    AI recommended (in order):
    1. RT-X
    2. Dactyl
    3. Habitat
    4. Ego-Exo4D
    5. Diffusion Policy
    6. SayCan
    7. PaLM-E
    8. Isaac Sim
    9. MuJoCo
    10. Perceiver IO
    11. DreamerV3

    AI recommended 11 alternatives but never named jonyzhang2023/awesome-embodied-vla-va-vln. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking state-of-the-art multimodal learning approaches for vision-language navigation in robotics.
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. OpenCLIP
    3. CLIPv2
    4. VLN-BERT
    5. Env-BERT
    6. RCM
    7. ALFRED
    8. ALFRED-BERT
    9. ALFRED-Transformer
    10. Perceiver IO
    11. Perceiver AR
    12. GLIP
    13. ViT
    14. CoCa
    15. Flamingo

    AI recommended 15 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 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?

  • 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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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