RRepoGEO

REPOGEO REPORT · LITE

corca-ai/awesome-llm-security

Default branch main · commit c8ae124c · scanned 5/12/2026, 6:22:53 AM

GitHub: 1,582 stars · 243 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 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
    Clarify repository's role as a definitive resource in README

    Why:

    CURRENT
    A curation of awesome tools, documents and projects about LLM Security.
    COPY-PASTE FIX
    This is the definitive, centralized directory for LLM Security, curating essential tools, research papers, and projects to help you navigate and secure large language model applications.
  • highlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file to the repository root, choosing a standard open-source license such as MIT or Apache-2.0 to clarify usage rights for contributors and users.
  • mediumhomepage#3
    Populate the repository homepage URL

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the repository's homepage field in the About section, such as a project website, the Corca AI organization page, or a key blog post related to 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
guardrails-ai/guardrails
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. guardrails-ai/guardrails · recommended 1×
  2. NVIDIA/NeMo-Guardrails · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. OWASP/owasp-llm-top-10 · recommended 1×
  5. microsoft/presidio · recommended 1×
  • CATEGORY QUERY
    How can I find tools and best practices for securing large language model applications?
    you: not recommended
    AI recommended (in order):
    1. Guardrails AI (guardrails-ai/guardrails)
    2. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    3. LangChain (langchain-ai/langchain)
    4. OWASP Top 10 for LLM Applications (OWASP/owasp-llm-top-10)
    5. Microsoft Presidio (microsoft/presidio)
    6. Google Cloud Data Loss Prevention (DLP) API
    7. Private AI
    8. Adversarial Robustness Toolbox (ART) (IBM/adversarial-robustness-toolbox)
    9. OpenAI Evals (openai/evals)
    10. Anthropic
    11. OWASP API Security Top 10 (OWASP/API-Security)
    12. Kong (Kong/kong)
    13. Apigee
    14. AWS API Gateway
    15. Cloudflare WAF
    16. AWS WAF
    17. Imperva

    AI recommended 17 alternatives but never named corca-ai/awesome-llm-security. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are common attack vectors and defense strategies for generative AI systems?
    you: not recommended
    AI recommended (in order):
    1. Adversarial Robustness Toolbox (ART)
    2. TRADES (Total Variance Regularization for Adversarial Robustness)
    3. MART (Multi-adversarial Robustness Training)
    4. TensorFlow Privacy
    5. PyTorch Opacus
    6. OpenMined PySyft
    7. Pandas
    8. Great Expectations
    9. Deequ
    10. OpenAI Moderation API
    11. Google Cloud Perspective API
    12. Arize AI
    13. WhyLabs
    14. Fiddler AI
    15. StegaStamp
    16. Invisible Watermarking for Generative Models
    17. TensorFlow Federated
    18. IBM Federated Learning
    19. NIST AI Risk Management Framework

    AI recommended 19 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