RRepoGEO

REPOGEO REPORT · LITE

corca-ai/awesome-llm-security

Default branch main · commit c8ae124c · scanned 6/22/2026, 12:32:57 PM

GitHub: 1,613 stars · 278 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 corca-ai/awesome-llm-security, 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 the README's opening sentence to highlight its unique value as a curated list

    Why:

    CURRENT
    A curation of awesome tools, documents and projects about LLM Security.
    COPY-PASTE FIX
    This repository serves as the definitive, community-driven collection of essential resources for LLM security, distinct from individual tools or frameworks. It centralizes papers, tools, and projects to help researchers and practitioners navigate the rapidly evolving landscape of LLM vulnerabilities and defenses.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a common open-source license, such as MIT.
  • mediumhomepage#3
    Add the repository URL as the homepage in the 'About' section

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' URL in the repository's 'About' section to: https://github.com/corca-ai/awesome-llm-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
0 / 2
0% of queries surface corca-ai/awesome-llm-security
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 (LLM Top 10)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP Top 10 for Large Language Model Applications (LLM Top 10) · recommended 1×
  2. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) · recommended 1×
  3. Google's Secure AI Framework (SAIF) · recommended 1×
  4. Microsoft's Responsible AI Principles and Tools · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find resources on securing large language models from common attacks?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications (LLM Top 10)
    2. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
    3. Google's Secure AI Framework (SAIF)
    4. Microsoft's Responsible AI Principles and Tools
    5. Hugging Face
    6. Anthropic
    7. OpenAI
    8. Google Brain/DeepMind
    9. AI Village at DEF CON / Black Hat

    AI recommended 9 alternatives but never named corca-ai/awesome-llm-security. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for assessing and benchmarking large language model security vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. LLM-Attacks
    3. OWASP Top 10 for LLM Applications
    4. Adversarial GLUE
    5. Robust Intelligence
    6. Lakera Guard
    7. Microsoft Azure AI Content Safety

    AI recommended 7 alternatives but never named corca-ai/awesome-llm-security. 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 corca-ai/awesome-llm-security?
    pass
    AI did not name corca-ai/awesome-llm-security — 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 corca-ai/awesome-llm-security in production, what risks or prerequisites should they evaluate first?
    pass
    AI named corca-ai/awesome-llm-security 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 corca-ai/awesome-llm-security solve, and who is the primary audience?
    pass
    AI named corca-ai/awesome-llm-security explicitly

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

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corca-ai/awesome-llm-security — 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