RRepoGEO

REPOGEO REPORT · LITE

PrimeIntellect-ai/verifiers

Default branch main · commit a9268a2a · scanned 6/23/2026, 4:32:00 AM

GitHub: 4,221 stars · 563 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
28 /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
2 / 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 PrimeIntellect-ai/verifiers, 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 topics for LLM RL environments and evaluation

    Why:

    COPY-PASTE FIX
    llm, reinforcement-learning, rl-environments, llm-evaluation, agent-benchmarking, ai-safety, machine-learning
  • highabout#2
    Update the repository description for clarity on LLM RL

    Why:

    CURRENT
    Our library for RL environments + evals
    COPY-PASTE FIX
    A library providing robust environments and evaluation tools specifically for Large Language Model (LLM) reinforcement learning and agent benchmarking.
  • mediumhomepage#3
    Add the documentation link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://docs.primeintellect.ai/verifiers

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 PrimeIntellect-ai/verifiers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Farama-Foundation/Gymnasium
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Farama-Foundation/Gymnasium · recommended 1×
  2. ray-project/ray · recommended 1×
  3. deepmind/lab · recommended 1×
  4. Farama-Foundation/Minigrid · recommended 1×
  5. microsoft/TextWorld · recommended 1×
  • CATEGORY QUERY
    What are good libraries to create reinforcement learning environments for large language models?
    you: not recommended
    AI recommended (in order):
    1. Gymnasium (Farama-Foundation/Gymnasium)
    2. RLlib (ray-project/ray)
    3. DeepMind Lab (deepmind/lab)
    4. Minigrid (Farama-Foundation/Minigrid)
    5. TextWorld (microsoft/TextWorld)

    AI recommended 5 alternatives but never named PrimeIntellect-ai/verifiers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to evaluate and benchmark large language model agents in diverse environments?
    you: not recommended
    AI recommended (in order):
    1. AgentBench
    2. GAIA
    3. MetaGPT
    4. SWE-bench
    5. AutoGPT
    6. BabyAGI
    7. LangChain
    8. LlamaIndex
    9. OpenAI Evals

    AI recommended 9 alternatives but never named PrimeIntellect-ai/verifiers. 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 PrimeIntellect-ai/verifiers?
    pass
    AI did not name PrimeIntellect-ai/verifiers — likely talking about a different project

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

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

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

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PrimeIntellect-ai/verifiers — 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