REPOGEO REPORT · LITE
Fugtemypt123/VIGA
Default branch main · commit 69cb8ef0 · scanned 5/23/2026, 4:47:53 AM
GitHub: 1,187 stars · 124 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 Fugtemypt123/VIGA, 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.
- hightopics#1Add specific topics to improve categorization
Why:
COPY-PASTE FIXinverse-graphics, visual-reconstruction, ai-agent, scene-generation, programmatic-graphics, analysis-by-synthesis
- highabout#2Refine the repository description for clarity
Why:
CURRENTVIGA: Vision-as-Inverse-Graphics Agent
COPY-PASTE FIXVIGA: An AI agent for programmatic visual reconstruction via inverse graphics.
- mediumhomepage#3Add the project homepage URL
Why:
COPY-PASTE FIXhttps://fugtemypt123.github.io/VIGA-website/
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.
- Blender · recommended 2×
- PyTorch3D · recommended 1×
- Kaolin · recommended 1×
- Mitsuba 2 · recommended 1×
- OpenDR · recommended 1×
- CATEGORY QUERYHow to achieve visual reconstruction using an inverse graphics approach?you: not recommendedAI recommended (in order):
- PyTorch3D
- Kaolin
- Mitsuba 2
- Blender
- OpenDR
- instant-ngp
- nerfstudio
- GPyTorch
- Pyro
AI recommended 9 alternatives but never named Fugtemypt123/VIGA. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking an AI agent for programmatic scene generation and verification from images.you: not recommendedAI recommended (in order):
- NVIDIA Omniverse
- Blender
- Unity
- Unreal Engine
- OpenAI Gym
- PyBullet
AI recommended 6 alternatives but never named Fugtemypt123/VIGA. 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 Fugtemypt123/VIGA?passAI named Fugtemypt123/VIGA explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Fugtemypt123/VIGA in production, what risks or prerequisites should they evaluate first?passAI named Fugtemypt123/VIGA 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 Fugtemypt123/VIGA solve, and who is the primary audience?passAI named Fugtemypt123/VIGA 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 Fugtemypt123/VIGA. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/Fugtemypt123/VIGA)<a href="https://repogeo.com/en/r/Fugtemypt123/VIGA"><img src="https://repogeo.com/badge/Fugtemypt123/VIGA.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
Fugtemypt123/VIGA — 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