RRepoGEO

REPOGEO REPORT · LITE

Mohamedelrefaie/DrivAerNet

Default branch main · commit 8b8c0530 · scanned 6/9/2026, 3:53:20 PM

GitHub: 519 stars · 78 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 Mohamedelrefaie/DrivAerNet, 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.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to emphasize 'dataset' and 'benchmark'

    Why:

    CURRENT
    # DrivAerNet++: High-Fidelity Computational Fluid Dynamics & Deep Learning Benchmarks
    COPY-PASTE FIX
    # DrivAerNet++: The Largest Multimodal Car Dataset & Deep Learning Benchmark for Aerodynamic Design
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://dataverse.harvard.edu/dataverse/DrivAerNet
  • mediumlicense#3
    Clarify the existing license directly in the README

    Why:

    COPY-PASTE FIX
    ## License Information
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). For details, see [https://creativecommons.org/licenses/by-nc/4.0/](https://creativecommons.org/licenses/by-nc/4.0/).

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 Mohamedelrefaie/DrivAerNet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Argonne National Laboratory (ANL)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Argonne National Laboratory (ANL) · recommended 1×
  2. National Renewable Energy Laboratory (NREL) · recommended 1×
  3. OpenFOAM/OpenFOAM-dev · recommended 1×
  4. SAE International · recommended 1×
  5. ANSYS · recommended 1×
  • CATEGORY QUERY
    Where can I find a large multimodal dataset for training deep learning models on car aerodynamics?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What resources offer high-fidelity CFD simulation data for generative car design or surrogate modeling?
    you: not recommended
    AI recommended (in order):
    1. Argonne National Laboratory (ANL)
    2. National Renewable Energy Laboratory (NREL)
    3. OpenFOAM Foundation (OpenFOAM/OpenFOAM-dev)
    4. SAE International
    5. ANSYS
    6. Siemens Simcenter
    7. Altair

    AI recommended 7 alternatives but never named Mohamedelrefaie/DrivAerNet. 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 Mohamedelrefaie/DrivAerNet?
    pass
    AI did not name Mohamedelrefaie/DrivAerNet — 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 Mohamedelrefaie/DrivAerNet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Mohamedelrefaie/DrivAerNet 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 Mohamedelrefaie/DrivAerNet solve, and who is the primary audience?
    pass
    AI named Mohamedelrefaie/DrivAerNet 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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MARKDOWN (README)
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Mohamedelrefaie/DrivAerNet — 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