RRepoGEO

REPOGEO REPORT · LITE

poetiq-ai/poetiq-arc-agi-solver

Default branch main · commit a6947cff · scanned 6/26/2026, 6:07:39 PM

GitHub: 1,277 stars · 214 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 poetiq-ai/poetiq-arc-agi-solver, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    arc-agi, artificial-general-intelligence, agi, reasoning, ai-benchmarking, llm-solver, cognitive-ai, poetiq
  • highreadme#2
    Clarify the README's opening to emphasize its role as an ARC-AGI solver

    Why:

    CURRENT
    # Poetiq: SOTA Reasoning on ARC-AGI

This repository allows reproduction of **Poetiq's** record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.
    COPY-PASTE FIX
    # Poetiq: SOTA Reasoning on ARC-AGI Solver

This repository provides the **full, reproducible code for Poetiq's record-breaking solver** for the ARC-AGI-1 and ARC-AGI-2 benchmarks. It is a specialized system designed to achieve state-of-the-art performance on these advanced cognitive reasoning tasks, not a general-purpose AI framework.
  • mediumabout#3
    Refine the repository description for clarity and keywords

    Why:

    CURRENT
    This repository allows reproduction of Poetiq's record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.
    COPY-PASTE FIX
    Reproduce Poetiq's record-breaking ARC-AGI-1 and ARC-AGI-2 solver, a specialized system for advanced cognitive reasoning benchmarks.

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 poetiq-ai/poetiq-arc-agi-solver
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PyTorch Lightning · recommended 1×
  3. JAX · recommended 1×
  4. DeepSpeed · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    What frameworks help reproduce top AI reasoning benchmark scores efficiently?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. JAX
    4. DeepSpeed
    5. TensorFlow
    6. OpenAI Gym
    7. Baselines

    AI recommended 7 alternatives but never named poetiq-ai/poetiq-arc-agi-solver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a system to evaluate and benchmark AI models on advanced cognitive challenges.
    you: not recommended
    AI recommended (in order):
    1. HELM
    2. EleutherAI's LM Evaluation Harness
    3. BigBench
    4. OpenAI Evals
    5. HumanEval
    6. MMLU

    AI recommended 6 alternatives but never named poetiq-ai/poetiq-arc-agi-solver. 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 poetiq-ai/poetiq-arc-agi-solver?
    pass
    AI did not name poetiq-ai/poetiq-arc-agi-solver — 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 poetiq-ai/poetiq-arc-agi-solver in production, what risks or prerequisites should they evaluate first?
    pass
    AI named poetiq-ai/poetiq-arc-agi-solver 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 poetiq-ai/poetiq-arc-agi-solver solve, and who is the primary audience?
    pass
    AI did not name poetiq-ai/poetiq-arc-agi-solver — 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?

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poetiq-ai/poetiq-arc-agi-solver — 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