RRepoGEO

REPOGEO REPORT · LITE

NVIDIA-NeMo/Guardrails

Default branch develop · commit 289c0f31 · scanned 6/29/2026, 4:02:06 AM

GitHub: 6,568 stars · 739 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
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 NVIDIA-NeMo/Guardrails, 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 core value proposition in README

    Why:

    COPY-PASTE FIX
    Move the sentence 'NVIDIA NeMo Guardrails library is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational applications.' to be the first paragraph immediately following the `# NVIDIA NeMo Guardrails Library` heading.
  • mediumlicense#2
    Clarify license in README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., '## License', stating the specific license(s) that apply to the project, referencing the existing LICENSE file.
  • mediumtopics#3
    Add more specific topics for LLM safety and governance

    Why:

    CURRENT
    agents, generative-ai, guardrails, llm-safety, llm-security, llms, nvidia, python, safety
    COPY-PASTE FIX
    agents, generative-ai, guardrails, llm-safety, llm-security, llms, nvidia, python, safety, chatbot-safety, ai-governance, llm-governance, policy-enforcement, conversational-ai-safety

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 NVIDIA-NeMo/Guardrails
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Moderation API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Moderation API · recommended 2×
  2. guardrails-ai/guardrails · recommended 1×
  3. NVIDIA/NeMo-Guardrails · recommended 1×
  4. Microsoft Azure AI Content Safety · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to implement safety and security policies for large language model interactions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Moderation API
    2. Guardrails AI (guardrails-ai/guardrails)
    3. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    4. Microsoft Azure AI Content Safety
    5. LangChain (langchain-ai/langchain)

    AI recommended 5 alternatives but never named NVIDIA-NeMo/Guardrails. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Toolkit for adding custom safety rules to my generative AI chatbot applications?
    you: not recommended
    AI recommended (in order):
    1. Guardrails AI
    2. NeMo Guardrails
    3. OpenAI Moderation API
    4. Azure AI Content Safety
    5. LangChain Expression Language (LCEL)
    6. Hugging Face Transformers

    AI recommended 6 alternatives but never named NVIDIA-NeMo/Guardrails. 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 NVIDIA-NeMo/Guardrails?
    pass
    AI named NVIDIA-NeMo/Guardrails explicitly

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

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

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

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NVIDIA-NeMo/Guardrails — 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