RRepoGEO

REPOGEO REPORT · LITE

pydantic/monty

Default branch main · commit 1346bad2 · scanned 5/13/2026, 2:06:47 PM

GitHub: 7,161 stars · 318 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 pydantic/monty, 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 comprehensive topics to improve categorization

    Why:

    COPY-PASTE FIX
    python, rust, interpreter, sandbox, llm, ai-agent, secure-execution, code-execution, untrusted-code
  • highreadme#2
    Reposition README opening to clarify core purpose and differentiate from common Python libraries

    Why:

    CURRENT
    The current H1/H3 and the 'Experimental' warning.
    COPY-PASTE FIX
    Add this sentence immediately after the H3: 'Unlike general Python utilities or database ORMs, Monty is purpose-built for safely executing untrusted, LLM-generated Python code within AI agents, offering a lightweight, high-performance alternative to traditional container-based sandboxes.'
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/pydantic/monty

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 pydantic/monty
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 2×
  2. Gryphon · recommended 1×
  3. Podman · recommended 1×
  4. Firejail · recommended 1×
  5. NSJail · recommended 1×
  • CATEGORY QUERY
    How to securely execute LLM-generated Python code within an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Gryphon
    2. Docker
    3. Podman
    4. Firejail
    5. NSJail
    6. Pylibsafer

    AI recommended 6 alternatives but never named pydantic/monty. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a lightweight, secure sandbox for running untrusted Python code from AI models.
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Firecracker
    3. Docker
    4. PyPy
    5. NSjail
    6. Subprocess

    AI recommended 6 alternatives but never named pydantic/monty. 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 pydantic/monty?
    pass
    AI named pydantic/monty explicitly

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

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

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

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