RRepoGEO

REPOGEO REPORT · LITE

meridianlabs-ai/inspect_petri

Default branch main · commit a5af7826 · scanned 6/20/2026, 1:06:43 AM

GitHub: 1,235 stars · 199 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
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 meridianlabs-ai/inspect_petri, 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 'Petri' metaphor and LLM focus in README H1

    Why:

    CURRENT
    Welcome to Inspect Petri, an auditing agent that enables automated monitoring and interaction with language models to detect potential alignment issues, reward hacking, and other concerning behaviors.
    COPY-PASTE FIX
    Welcome to Inspect Petri, an auditing agent for **large language models (LLMs)**. *This project is not related to traditional Petri nets.* Inspect Petri enables automated monitoring and interaction with LLMs to detect potential alignment issues, reward hacking, and other concerning behaviors.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-auditing, llm-alignment, ai-safety, language-models, reward-hacking, agent-auditing, generative-ai
  • mediumabout#3
    Refine the repository description to emphasize LLM focus

    Why:

    CURRENT
    An alignment auditing agent capable of quickly exploring alignment hypothesis
    COPY-PASTE FIX
    An alignment auditing agent for large language models (LLMs), capable of quickly exploring alignment hypotheses.

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 meridianlabs-ai/inspect_petri
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Evals
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Evals · recommended 2×
  2. Giskard · recommended 1×
  3. Arthur AI · recommended 1×
  4. Fiddler AI · recommended 1×
  5. Robust Intelligence (RIME) · recommended 1×
  • CATEGORY QUERY
    How to automatically test and audit large language models for undesirable alignment issues?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. Arthur AI
    3. Fiddler AI
    4. OpenAI Evals
    5. Robust Intelligence (RIME)
    6. Hugging Face Evaluate
    7. Microsoft Responsible AI Toolbox

    AI recommended 7 alternatives but never named meridianlabs-ai/inspect_petri. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for simulating multi-turn interactions and auditing LLM behavior in various scenarios?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. BlindChat
    4. Humanloop
    5. PromptLayer
    6. Guidance
    7. OpenAI Evals

    AI recommended 7 alternatives but never named meridianlabs-ai/inspect_petri. 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 meridianlabs-ai/inspect_petri?
    pass
    AI named meridianlabs-ai/inspect_petri explicitly

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

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

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

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meridianlabs-ai/inspect_petri — 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