RRepoGEO

REPOGEO REPORT · LITE

langgptai/LLM-Jailbreaks

Default branch main · commit f866ee1b · scanned 6/2/2026, 7:17:40 PM

GitHub: 648 stars · 57 forks

AI VISIBILITY SCORE
22 /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
1 / 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 langgptai/LLM-Jailbreaks, 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's opening to clarify purpose and audience

    Why:

    CURRENT
    # LLM-Jailbreaks
    LLM Jailbreaks, ChatGPT, Claude, Llama, DAN Prompts, Prompt Leaking
    COPY-PASTE FIX
    # LLM-Jailbreaks
    A comprehensive, community-curated collection of LLM jailbreaks and prompt leaking techniques for red teaming, adversarial testing, and vulnerability research across models like ChatGPT, Claude, and Llama.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/langgptai/LLM-Jailbreaks
  • mediumreadme#3
    Add a 'What This Repo Offers' section to the README

    Why:

    COPY-PASTE FIX
    ## What This Repo Offers
    This repository serves as a systematically organized and community-driven collection of LLM jailbreaks and prompt evasion techniques. We aim to provide not just prompts, but also context, sources, and categorization to aid in effective red-teaming, vulnerability analysis, and understanding adversarial prompt engineering.

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 langgptai/LLM-Jailbreaks
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP Top 10 for Large Language Model Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP Top 10 for Large Language Model Applications · recommended 1×
  2. Gandalf · recommended 1×
  3. Prompt Engineering Guide · recommended 1×
  4. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned · recommended 1×
  5. Universal and Transferable Adversarial Attacks on Aligned Language Models · recommended 1×
  • CATEGORY QUERY
    How can I bypass safety restrictions and content filters in large language models?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Where can I find effective prompt engineering techniques for LLM red teaming and evasion?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications
    2. Gandalf
    3. Prompt Engineering Guide
    4. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
    5. Universal and Transferable Adversarial Attacks on Aligned Language Models
    6. Hugging Face

    AI recommended 6 alternatives but never named langgptai/LLM-Jailbreaks. 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 langgptai/LLM-Jailbreaks?
    pass
    AI did not name langgptai/LLM-Jailbreaks — 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 langgptai/LLM-Jailbreaks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langgptai/LLM-Jailbreaks 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 langgptai/LLM-Jailbreaks solve, and who is the primary audience?
    pass
    AI did not name langgptai/LLM-Jailbreaks — 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?

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langgptai/LLM-Jailbreaks — 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