RRepoGEO

REPOGEO REPORT · LITE

openai/grade-school-math

Default branch master · commit 3101c7d5 · scanned 5/27/2026, 7:18:36 PM

GitHub: 1,436 stars · 195 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 openai/grade-school-math, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    The official repository for GSM8K, a dataset of 8.5K grade school math word problems designed to evaluate multi-step reasoning in language models.
  • highlicense#2
    Add a LICENSE file or clarify licensing in README

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, or add a clear statement to the README specifying the license(s) under which the dataset and code are distributed.

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 openai/grade-school-math
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GSM8K
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GSM8K · recommended 2×
  2. MATH · recommended 1×
  3. AQuA-RAD · recommended 1×
  4. SVAMP · recommended 1×
  5. MAWPS · recommended 1×
  • CATEGORY QUERY
    How can I find a dataset to evaluate language models on complex arithmetic word problems?
    you: not recommended
    AI recommended (in order):
    1. GSM8K
    2. MATH
    3. AQuA-RAD
    4. SVAMP
    5. MAWPS
    6. AddSub

    AI recommended 6 alternatives but never named openai/grade-school-math. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for training AI models to solve multi-step grade school math problems?
    you: not recommended
    AI recommended (in order):
    1. GSM8K
    2. MATH Dataset
    3. OpenAI's Code Interpreter
    4. GPT-4
    5. Hugging Face Transformers Library (huggingface/transformers)
    6. Google's Minerva
    7. DeepMind's AlphaCode
    8. AlphaGeometry
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow (tensorflow/tensorflow)

    AI recommended 10 alternatives but never named openai/grade-school-math. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 openai/grade-school-math?
    pass
    AI named openai/grade-school-math explicitly

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

  • If a team adopts openai/grade-school-math in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/grade-school-math 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 openai/grade-school-math solve, and who is the primary audience?
    pass
    AI named openai/grade-school-math 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