RRepoGEO

REPOGEO REPORT · LITE

RobustBench/robustbench

Default branch master · commit 78fcc9e4 · scanned 6/6/2026, 3:37:19 PM

GitHub: 777 stars · 106 forks

AI VISIBILITY SCORE
86 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 RobustBench/robustbench, 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
    Add a clear statement about the project's license(s) to the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License(s) here, e.g., a custom license, or a combination of licenses like Apache-2.0 and MIT]. See the LICENSE file for full details.
  • mediumreadme#2
    Add a concise introductory paragraph to the README after the main title

    Why:

    COPY-PASTE FIX
    RobustBench is the leading standardized and comprehensive benchmarking framework for adversarial robustness in machine learning. It provides a public leaderboard, a collection of robustly trained models, and reproducible evaluation code across various datasets and attack types, enabling researchers and practitioners to consistently assess and compare model resilience.
  • lowtopics#3
    Expand repository topics to include more specific terms

    Why:

    CURRENT
    adversarial-machine-learning, adversarial-robustness, benchmark, model-zoo
    COPY-PASTE FIX
    adversarial-machine-learning, adversarial-robustness, benchmark, model-zoo, data-corruptions, robustness-benchmarking, machine-learning-security

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
2 / 2
100% of queries surface RobustBench/robustbench
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
15%
Of all named tools, what % are you?
Top rival
IBM Adversarial Robustness Toolbox (ART)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. IBM Adversarial Robustness Toolbox (ART) · recommended 1×
  2. CleverHans · recommended 1×
  3. Foolbox · recommended 1×
  4. OpenAttack · recommended 1×
  5. AugLy · recommended 1×
  • CATEGORY QUERY
    How to benchmark machine learning model resilience against adversarial attacks and data corruptions?
    you: #4
    AI recommended (in order):
    1. IBM Adversarial Robustness Toolbox (ART)
    2. CleverHans
    3. Foolbox
    4. RobustBench ← you
    5. OpenAttack
    6. AugLy
    7. Torchattacks
    Show full AI answer
  • CATEGORY QUERY
    Where can I find pre-trained models evaluated for adversarial robustness on image classification tasks?
    you: #2
    AI recommended (in order):
    1. Adversarial Robustness Toolbox (ART) Model Zoo
    2. RobustBench ← you
    3. MadryLab's Robustness Research Repository
    4. TorchRobust
    5. CleverHans Library
    6. Hugging Face Transformers
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 RobustBench/robustbench?
    pass
    AI named RobustBench/robustbench explicitly

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

  • If a team adopts RobustBench/robustbench in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RobustBench/robustbench 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 RobustBench/robustbench solve, and who is the primary audience?
    pass
    AI named RobustBench/robustbench explicitly

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

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RobustBench/robustbench — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite