RRepoGEO

REPOGEO REPORT · LITE

Robbyant/lingbot-vla

Default branch main · commit 46690e3a · scanned 5/12/2026, 10:59:08 PM

GitHub: 1,140 stars · 106 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Robbyant/lingbot-vla, 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.

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 Robbyant/lingbot-vla
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PaLM-E
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PaLM-E · recommended 2×
  2. RT-X · recommended 1×
  3. RT-1 · recommended 1×
  4. RT-2 · recommended 1×
  5. OpenVLA · recommended 1×
  • CATEGORY QUERY
    What are robust vision-language-action foundation models for real-world robot manipulation?
    you: not recommended
    AI recommended (in order):
    1. RT-X
    2. RT-1
    3. RT-2
    4. OpenVLA
    5. PaLM-E
    6. GATO
    7. CLIPort
    8. CLIP

    AI recommended 8 alternatives but never named Robbyant/lingbot-vla. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking VLA models optimized for training efficiency and real-world embodied AI tasks.
    you: not recommended
    AI recommended (in order):
    1. Open-VLA
    2. RT-X (Robotics Transformer X)
    3. PaLM-E
    4. Perceiver IO
    5. ViT (Vision Transformer) variants with language integration

    AI recommended 5 alternatives but never named Robbyant/lingbot-vla. 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 Robbyant/lingbot-vla?
    pass
    AI did not name Robbyant/lingbot-vla — 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 Robbyant/lingbot-vla in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Robbyant/lingbot-vla 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 Robbyant/lingbot-vla solve, and who is the primary audience?
    pass
    AI named Robbyant/lingbot-vla explicitly

    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 Robbyant/lingbot-vla. 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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Robbyant/lingbot-vla — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
Robbyant/lingbot-vla — RepoGEO report