RRepoGEO

REPOGEO REPORT · LITE

patrickrchao/JailbreakingLLMs

Default branch main · commit 6379ef70 · scanned 6/14/2026, 9:17:47 PM

GitHub: 742 stars · 116 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 patrickrchao/JailbreakingLLMs, 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
    An efficient algorithm (PAIR) for automatically generating black-box LLM jailbreaks with minimal queries, designed for identifying safety guardrail vulnerabilities.
  • mediumreadme#2
    Add a direct introductory sentence to the README

    Why:

    CURRENT
    ## Abstract
There is growing interest in ensuring that large language models (LLMs) align with human values.
    COPY-PASTE FIX
    This repository implements *Prompt Automatic Iterative Refinement* (PAIR), a novel algorithm for automatically generating black-box LLM jailbreaks efficiently.

## Abstract
There is growing interest in ensuring that large language models (LLMs) align with human values.

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 patrickrchao/JailbreakingLLMs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA/garak
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA/garak · recommended 1×
  2. NVIDIA/NeMo-Guardrails · recommended 1×
  3. microsoft/guidance · recommended 1×
  4. Trusted-AI/adversarial-robustness-toolbox · recommended 1×
  5. OpenAI's Red Teaming efforts · recommended 1×
  • CATEGORY QUERY
    How can I automatically find adversarial prompts to bypass LLM safety mechanisms?
    you: not recommended
    AI recommended (in order):
    1. Garak (NVIDIA/garak)
    2. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    3. Microsoft's Guidance (microsoft/guidance)
    4. Adversarial Robustness Toolbox (ART) (Trusted-AI/adversarial-robustness-toolbox)
    5. OpenAI's Red Teaming efforts
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)
    8. TextAttack (TextAttack/TextAttack)
    9. Hugging Face's Transformers (huggingface/transformers)

    AI recommended 9 alternatives but never named patrickrchao/JailbreakingLLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help red-team black-box LLMs to identify safety guardrail vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. AdvBench
    3. PromptInject
    4. Red Teaming Assistant
    5. LangChain
    6. LlamaIndex
    7. OWASP LLM Top 10
    8. Atheris
    9. American Fuzzy Lop - AFL

    AI recommended 9 alternatives but never named patrickrchao/JailbreakingLLMs. 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 patrickrchao/JailbreakingLLMs?
    pass
    AI did not name patrickrchao/JailbreakingLLMs — 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 patrickrchao/JailbreakingLLMs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patrickrchao/JailbreakingLLMs 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 patrickrchao/JailbreakingLLMs solve, and who is the primary audience?
    pass
    AI named patrickrchao/JailbreakingLLMs 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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patrickrchao/JailbreakingLLMs — 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