REPOGEO REPORT · LITE

Tencent/AI-Infra-Guard

Default branch main · commit 7dcf9a68 · scanned 5/26/2026, 2:16:20 PM

GitHub: 3,781 stars · 372 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 Tencent/AI-Infra-Guard, 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

Add a clear H1 and introductory sentence to the README

Why:

COPY-PASTE FIX

# AI-Infra-Guard: A Full-Stack AI Red Teaming Platform

AI-Infra-Guard is a comprehensive platform designed to secure AI ecosystems through advanced security scans, agent and skill evaluations, and robust LLM jailbreak assessments. It provides a full-stack solution for AI security engineers and MLOps teams.

mediumreadme#2

Elaborate on the 'full-stack' and 'platform' aspects in the README

Why:

COPY-PASTE FIX

## What is AI-Infra-Guard?

AI-Infra-Guard functions as a unified AI Red Teaming platform, integrating multiple specialized scanning capabilities to provide end-to-end security for your AI deployments. This includes OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan, and comprehensive LLM jailbreak evaluation, ensuring every layer of your AI ecosystem is protected.

lowreadme#3

Add a 'Comparison to Alternatives' section in the README

Why:

COPY-PASTE FIX

## Comparison to Alternatives

While tools like Garak and Prompt Security Toolkit focus primarily on LLM vulnerability testing, and platforms like Gryphon.ai or Protect AI offer broader AI security, AI-Infra-Guard distinguishes itself as a full-stack AI Red Teaming platform. We provide a holistic approach that integrates LLM jailbreak evaluation with comprehensive security scanning for AI infrastructure, agents, and skills, offering a more integrated and extensive security posture for complex AI ecosystems.

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 Tencent/AI-Infra-Guard

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

llm-garak/garak

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

llm-garak/garak · recommended 1×
Prompt Security Toolkit (PST) by Lakera AI · recommended 1×
OWASP Top 10 for Large Language Model Applications (LLM Top 10) · recommended 1×
HackerOne · recommended 1×
Bugcrowd · recommended 1×

CATEGORY QUERY
How to effectively evaluate large language models against jailbreak and prompt injection attacks?
you: not recommended
AI recommended (in order):
1. Garak (llm-garak/garak)
2. Prompt Security Toolkit (PST) by Lakera AI
3. OWASP Top 10 for Large Language Model Applications (LLM Top 10)
4. HackerOne
5. Bugcrowd
6. Adversarial GLUE (AdvGLUE)
7. NeMo Guardrails by NVIDIA (NVIDIA/NeMo-Guardrails)
8. transformers (huggingface/transformers)
9. langchain (langchain-ai/langchain)
AI recommended 9 alternatives but never named Tencent/AI-Infra-Guard. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What platforms offer full-stack security scanning for AI infrastructure and agent-based systems?
you: not recommended
AI recommended (in order):
1. Gryphon.ai
2. Protect AI (Guardian & Radar)
3. Snyk
4. Wiz
5. Lacework
6. Palo Alto Networks Prisma Cloud
AI recommended 6 alternatives but never named Tencent/AI-Infra-Guard. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 Tencent/AI-Infra-Guard?
pass
AI named Tencent/AI-Infra-Guard explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Tencent/AI-Infra-Guard in production, what risks or prerequisites should they evaluate first?
pass
AI named Tencent/AI-Infra-Guard 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 Tencent/AI-Infra-Guard solve, and who is the primary audience?
pass
AI named Tencent/AI-Infra-Guard explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite