RRepoGEO

REPOGEO REPORT · LITE

guardrails-ai/guardrails

Default branch main · commit 762c7e64 · scanned 6/23/2026, 4:56:56 AM

GitHub: 7,029 stars · 621 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 guardrails-ai/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
  • hightopics#1
    Add specific LLM guardrails and safety topics

    Why:

    CURRENT
    ai, foundation-model, gpt-3, llm, openai
    COPY-PASTE FIX
    ai, foundation-model, gpt-3, llm, openai, llm-guardrails, ai-safety, llm-validation, structured-output, llm-moderation
  • highreadme#2
    Add a concise, keyword-rich value proposition at the top of the README

    Why:

    COPY-PASTE FIX
    Guardrails is the leading Python framework for building reliable and safe AI applications by validating and repairing LLM inputs and outputs. It helps ensure structured, hallucination-free, and safe responses from large language models.
  • mediumabout#3
    Enhance the repository description for clarity and keywords

    Why:

    CURRENT
    Adding guardrails to large language models.
    COPY-PASTE FIX
    A Python framework for building reliable and safe AI applications by validating and repairing LLM inputs and outputs, ensuring structured, hallucination-free, and safe responses.

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 guardrails-ai/guardrails
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Guardrails AI · recommended 2×
  3. OpenAI Moderation API · recommended 1×
  4. Azure AI Content Safety · recommended 1×
  5. NeMo Guardrails · recommended 1×
  • CATEGORY QUERY
    How to ensure reliability and safety when building applications with large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Guardrails AI
    3. OpenAI Moderation API
    4. Azure AI Content Safety
    5. NeMo Guardrails
    6. W&B Prompts

    AI recommended 6 alternatives but never named guardrails-ai/guardrails. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help generate structured, validated output from large language models in Python?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. Instructor
    3. LangChain
    4. Guardrails AI
    5. LMQL
    6. Outlines

    AI recommended 6 alternatives but never named guardrails-ai/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 guardrails-ai/guardrails?
    pass
    AI named guardrails-ai/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 guardrails-ai/guardrails in production, what risks or prerequisites should they evaluate first?
    pass
    AI named guardrails-ai/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 guardrails-ai/guardrails solve, and who is the primary audience?
    pass
    AI named guardrails-ai/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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guardrails-ai/guardrails — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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