RRepoGEO

REPOGEO REPORT · LITE

AI45Lab/AgentDoG

Default branch main · commit c8d803f2 · scanned 6/11/2026, 4:02:52 PM

GitHub: 615 stars · 26 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 AI45Lab/AgentDoG, 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 the core purpose of AgentDoG immediately in the README

    Why:

    CURRENT
    Visit our Hugging Face or ModelScope organization (click links above), search checkpoints with names starting with `AgentDoG-`, and you will find all you need! Enjoy!
    COPY-PASTE FIX
    AgentDoG is a diagnostic guardrail framework designed for AI agent safety and security. It provides a lightweight and scalable solution for aligning AI agents and diagnosing potential vulnerabilities. Visit our Hugging Face or ModelScope organization (click links above), search checkpoints with names starting with `AgentDoG-`, and you will find all you need! Enjoy!
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-safety, agent-safety, guardrails, ai-security, diagnostic-framework, large-language-models, llm-agents, alignment
  • mediumlicense#3
    Add a LICENSE file or clarify licensing in README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen open-source license (e.g., Apache-2.0, MIT), or add a clear statement about the project's license(s) to the README.

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 AI45Lab/AgentDoG
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP AI Exchange (AIX)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP AI Exchange (AIX) · recommended 1×
  2. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) · recommended 1×
  3. IBM AI Explainability 360 (AIX360) · recommended 1×
  4. Microsoft Counterfit · recommended 1×
  5. Google Responsible AI Toolkit · recommended 1×
  • CATEGORY QUERY
    How to implement robust safety guardrails for autonomous AI agents?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to diagnose security vulnerabilities in AI agent systems.
    you: not recommended
    AI recommended (in order):
    1. OWASP AI Exchange (AIX)
    2. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
    3. IBM AI Explainability 360 (AIX360)
    4. Microsoft Counterfit
    5. Google Responsible AI Toolkit

    AI recommended 5 alternatives but never named AI45Lab/AgentDoG. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 AI45Lab/AgentDoG?
    pass
    AI named AI45Lab/AgentDoG explicitly

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

  • If a team adopts AI45Lab/AgentDoG in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AI45Lab/AgentDoG 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 AI45Lab/AgentDoG solve, and who is the primary audience?
    pass
    AI named AI45Lab/AgentDoG explicitly

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

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AI45Lab/AgentDoG — 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