REPOGEO REPORT · LITE
Pang-Yatian/Point-MAE
Default branch main · commit 7445a680 · scanned 6/8/2026, 2:06:49 AM
GitHub: 630 stars · 73 forks
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 Pang-Yatian/Point-MAE, 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#1Clarify project name in README H1 to match AI's competitor recognition
Why:
CURRENT# Point-MAE
COPY-PASTE FIX# Point-MAE (PointMAE)
- mediumhomepage#2Add the project's academic paper link as the homepage
Why:
COPY-PASTE FIXhttps://arxiv.org/abs/2203.06604
- lowtopics#3Expand topics to include core methodology and broader domain
Why:
CURRENTpoint-cloud, self-supervised-learning
COPY-PASTE FIXpoint-cloud, self-supervised-learning, masked-autoencoders, autoencoders, 3d-vision
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.
- PointMAE · recommended 2×
- Point-BERT · recommended 2×
- PointCL · recommended 2×
- GraphMAE · recommended 2×
- PointInfoNCE · recommended 1×
- CATEGORY QUERYHow can I pre-train models for 3D point cloud classification using self-supervision?you: not recommendedAI recommended (in order):
- PointMAE
- Point-BERT
- PointCL
- PointInfoNCE
- PointNet++
- DGCNN
- GraphMAE
AI recommended 7 alternatives but never named Pang-Yatian/Point-MAE. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are effective self-supervised learning methods for robust point cloud feature extraction?you: not recommendedAI recommended (in order):
- PointMAE
- Point-BERT
- PointCL
- Self-PointFlow
- PointContrast
- GraphMAE
AI recommended 6 alternatives but never named Pang-Yatian/Point-MAE. 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 Pang-Yatian/Point-MAE?passAI named Pang-Yatian/Point-MAE explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Pang-Yatian/Point-MAE in production, what risks or prerequisites should they evaluate first?passAI named Pang-Yatian/Point-MAE 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 Pang-Yatian/Point-MAE solve, and who is the primary audience?passAI named Pang-Yatian/Point-MAE 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 Pang-Yatian/Point-MAE. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/Pang-Yatian/Point-MAE)<a href="https://repogeo.com/en/r/Pang-Yatian/Point-MAE"><img src="https://repogeo.com/badge/Pang-Yatian/Point-MAE.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
Pang-Yatian/Point-MAE — 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