REPOGEO REPORT · LITE
Robbyant/lingbot-vla
Default branch main · commit 4eb34b76 · scanned 6/23/2026, 7:43:07 AM
GitHub: 1,490 stars · 157 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README opening to specify robotics application
Why:
CURRENT## 🥳 We are excited to introduce **LingBot-VLA**, a pragmatic Vision-Language-Action foundation model.
COPY-PASTE FIX## 🥳 We are excited to introduce **LingBot-VLA**, a pragmatic Vision-Language-Action (VLA) foundation model specifically designed for **real-world robot control and manipulation**.
- mediumtopics#2Add more specific robotics-related topics
Why:
CURRENTembodied-ai, vla
COPY-PASTE FIXembodied-ai, vla, robotics, robot-control, robot-manipulation
- mediumhomepage#3Add the project homepage URL to repository metadata
Why:
COPY-PASTE FIXhttps://technology.robbyant.com/lingbot-vla
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.
- RT-2 · recommended 2×
- OpenAI Robotics · recommended 1×
- RT-1 · recommended 1×
- Hugging Face Transformers · recommended 1×
- ViT · recommended 1×
- CATEGORY QUERYHow can I train a vision-language-action model for real-world robot control?you: not recommendedAI recommended (in order):
- OpenAI Robotics
- RT-1
- RT-2
- Hugging Face Transformers
- ViT
- Swin Transformer
- BERT
- T5
- LLaMA
- PyTorch Lightning
- TensorFlow Keras
- ResNet
- EfficientNet
- RoBERTa
- ROS
- MoveIt!
- Gazebo
- RLlib
- RoboStack
AI recommended 19 alternatives but never named Robbyant/lingbot-vla. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for an efficient VLA foundation model for controlling dual-arm robots.you: not recommendedAI recommended (in order):
- RT-X
- RT-2
- Open-VLA
- Diffusion Policy
- Perceiver IO
- RoboCat
AI recommended 6 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 completenesswarn
Suggestion:
- README presencepass
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?passAI named Robbyant/lingbot-vla explicitly
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?passAI 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?passAI 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
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Robbyant/lingbot-vla — 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