RRepoGEO

REPOGEO REPORT · LITE

General-Analysis/GA

Default branch main · commit 1e79ca8b · scanned 6/4/2026, 10:47:40 PM

GitHub: 584 stars · 57 forks

AI VISIBILITY SCORE
35 /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
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 General-Analysis/GA, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-jailbreaking, adversarial-attacks, ai-safety, llm-security, stress-testing, generative-ai, large-language-models
  • highreadme#2
    Reposition README H1 and subtitle for LLM adversarial attacks

    Why:

    CURRENT
    # Jailbreak Cookbook by General Analysis
_Stress Testing Enterprise AI Models to Find Failure Modes_
    COPY-PASTE FIX
    # General-Analysis/GA: LLM Jailbreak Cookbook
_A Toolkit for Adversarial Attacks and Stress Testing Large Language Models_
  • mediumreadme#3
    Add a section to README clarifying the license

    Why:

    COPY-PASTE FIX
    ## License
This repository contains a custom license. Please refer to the [LICENSE](LICENSE) file for full details on the terms and conditions of use.

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 General-Analysis/GA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
IBM/AIF360
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. IBM/AIF360 · recommended 1×
  2. fairlearn/fairlearn · recommended 1×
  3. PAIR-code/what-if-tool · recommended 1×
  4. Trusted-AI/adversarial-robustness-toolbox · recommended 1×
  5. chaos-mesh/chaos-mesh · recommended 1×
  • CATEGORY QUERY
    What tools exist for stress testing enterprise AI models to find failure modes?
    you: not recommended
    AI recommended (in order):
    1. IBM AI Fairness 360 (AIF360) (IBM/AIF360)
    2. Microsoft Fairlearn (fairlearn/fairlearn)
    3. Google What-If Tool (WIT) (PAIR-code/what-if-tool)
    4. Adversarial Robustness Toolbox (ART) (Trusted-AI/adversarial-robustness-toolbox)
    5. Chaos Mesh (chaos-mesh/chaos-mesh)
    6. Locust (locustio/locust)
    7. DeepMind's AI Safety Research

    AI recommended 7 alternatives but never named General-Analysis/GA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I programmatically discover and execute various adversarial attacks on large language models?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. Adversarial GLUE (AdvGLUE)
    3. TextAttack
    4. OpenAttack
    5. Robustness Gym
    6. Hugging Face Transformers
    7. LangChain/LlamaIndex

    AI recommended 7 alternatives but never named General-Analysis/GA. 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 General-Analysis/GA?
    pass
    AI named General-Analysis/GA explicitly

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

  • If a team adopts General-Analysis/GA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named General-Analysis/GA 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 General-Analysis/GA solve, and who is the primary audience?
    pass
    AI named General-Analysis/GA 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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General-Analysis/GA — RepoGEO report