RRepoGEO

REPOGEO REPORT · LITE

0din-ai/ai-scanner

Default branch main · commit ae0171d6 · scanned 6/14/2026, 12:16:19 PM

GitHub: 557 stars · 89 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 0din-ai/ai-scanner, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-security, llm-security, vulnerability-scanner, penetration-testing, owasp-llm-top-10, garak, ruby-on-rails, web-application, siem-integration, ai-model-safety
  • mediumreadme#2
    Emphasize 'LLM' and 'web application' in the README's opening sentence

    Why:

    CURRENT
    An open-source web application for AI model security assessments, built with Ruby on Rails and NVIDIA garak. Scanner helps organizations test their AI systems for vulnerabilities before deployment — similar to penetration testing for traditional software.
    COPY-PASTE FIX
    Scanner is an open-source web application for LLM security assessments, built with Ruby on Rails and NVIDIA garak. It helps organizations test their AI systems for vulnerabilities before deployment — similar to penetration testing for traditional software.
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Scanner differentiates itself from other LLM security tools like Giskard, LLM Guard, and NeMo Guardrails by offering a full-featured web application for multi-target scanning (API-based LLMs and browser-based chat UIs), comprehensive OWASP LLM Top 10 aligned probes, and robust SIEM integration, making it ideal for enterprise-grade AI model penetration testing.

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 0din-ai/ai-scanner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Giskard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Giskard · recommended 1×
  2. LLM Guard · recommended 1×
  3. NeMo Guardrails · recommended 1×
  4. OWASP ZAP · recommended 1×
  5. Semgrep · recommended 1×
  • CATEGORY QUERY
    How can I automatically test my LLM deployments for security vulnerabilities before production?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. LLM Guard
    3. NeMo Guardrails
    4. OWASP ZAP
    5. Semgrep
    6. Snyk
    7. Deepfence ThreatMapper

    AI recommended 7 alternatives but never named 0din-ai/ai-scanner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source tool to perform AI model penetration testing with SIEM integration.
    you: not recommended
    AI recommended (in order):
    1. OWASP MLSecOps Project (OWASP/MLSecOps)
    2. Adversarial Robustness Toolbox (ART) (Trusted-AI/adversarial-robustness-toolbox)
    3. CleverHans (cleverhans-lab/cleverhans)
    4. Microsoft Counterfit (Azure/counterfit)
    5. Giskard (Giskard-AI/giskard)

    AI recommended 5 alternatives but never named 0din-ai/ai-scanner. 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 0din-ai/ai-scanner?
    pass
    AI named 0din-ai/ai-scanner explicitly

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

  • If a team adopts 0din-ai/ai-scanner in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0din-ai/ai-scanner 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 0din-ai/ai-scanner solve, and who is the primary audience?
    pass
    AI named 0din-ai/ai-scanner explicitly

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

Embed your GEO score

Drop this badge into the README of 0din-ai/ai-scanner. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/0din-ai/ai-scanner.svg)](https://repogeo.com/en/r/0din-ai/ai-scanner)
HTML
<a href="https://repogeo.com/en/r/0din-ai/ai-scanner"><img src="https://repogeo.com/badge/0din-ai/ai-scanner.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

0din-ai/ai-scanner — 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