RRepoGEO

REPOGEO REPORT · LITE

bitzhangcy/Neural-PDE-Solver

Default branch main · commit 90e1fc01 · scanned 5/29/2026, 12:07:51 PM

GitHub: 1,104 stars · 141 forks

AI VISIBILITY SCORE
23 /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
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 bitzhangcy/Neural-PDE-Solver, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A systematic collection of literature and papers on solving Partial Differential Equations (PDEs) using Neural Operators, tracking recent progress in the field.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the text of the MIT License.

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 bitzhangcy/Neural-PDE-Solver
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepXDE
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepXDE · recommended 1×
  2. PyTorch Geometric · recommended 1×
  3. Deep Graph Library · recommended 1×
  4. PyTorch · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How can I use neural operators to solve complex partial differential equations?
    you: not recommended
    AI recommended (in order):
    1. DeepXDE
    2. PyTorch Geometric
    3. Deep Graph Library
    4. PyTorch
    5. TensorFlow

    AI recommended 5 alternatives but never named bitzhangcy/Neural-PDE-Solver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a systematic collection of papers on neural PDE solvers?
    you: not recommended
    AI recommended (in order):
    1. Awesome Neural PDE Solvers
    2. arXiv.org
    3. Google Scholar
    4. NeurIPS
    5. ICML
    6. ICLR
    7. AAAI
    8. SC
    9. SIAM CSE
    10. Mendeley
    11. Zotero

    AI recommended 11 alternatives but never named bitzhangcy/Neural-PDE-Solver. 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 bitzhangcy/Neural-PDE-Solver?
    pass
    AI named bitzhangcy/Neural-PDE-Solver explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts bitzhangcy/Neural-PDE-Solver in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bitzhangcy/Neural-PDE-Solver 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 bitzhangcy/Neural-PDE-Solver solve, and who is the primary audience?
    pass
    AI did not name bitzhangcy/Neural-PDE-Solver — 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 bitzhangcy/Neural-PDE-Solver. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/bitzhangcy/Neural-PDE-Solver.svg)](https://repogeo.com/en/r/bitzhangcy/Neural-PDE-Solver)
HTML
<a href="https://repogeo.com/en/r/bitzhangcy/Neural-PDE-Solver"><img src="https://repogeo.com/badge/bitzhangcy/Neural-PDE-Solver.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

bitzhangcy/Neural-PDE-Solver — 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