RRepoGEO

REPOGEO REPORT · LITE

huggingface/Math-Verify

Default branch main · commit ba3d3aaf · scanned 5/20/2026, 12:42:03 AM

GitHub: 1,144 stars · 54 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
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 huggingface/Math-Verify, 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 'About' description emphasizing LLM solution verification

    Why:

    COPY-PASTE FIX
    A specialized system for accurately verifying the correctness of mathematical expression outputs and solutions generated by Large Language Models, distinguishing itself from tools that merely evaluate or generate solutions.
  • lowhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/Math-Verify

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 huggingface/Math-Verify
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
sympy/sympy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. sympy/sympy · recommended 1×
  2. Wolfram Alpha API · recommended 1×
  3. numpy/numpy · recommended 1×
  4. scipy/scipy · recommended 1×
  5. eval() · recommended 1×
  • CATEGORY QUERY
    How to accurately evaluate mathematical expression outputs from large language models?
    you: not recommended
    AI recommended (in order):
    1. SymPy (sympy/sympy)
    2. Wolfram Alpha API
    3. NumPy (numpy/numpy)
    4. SciPy (scipy/scipy)
    5. eval()
    6. Custom Expression Parser and Evaluator
    7. LaTeX
    8. MathML
    9. MathJax (mathjax/MathJax)
    10. KaTeX (KaTeX/KaTeX)

    AI recommended 10 alternatives but never named huggingface/Math-Verify. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to verify correctness of generated math problem solutions from AI models?
    you: not recommended
    AI recommended (in order):
    1. Wolfram Alpha Notebook Edition
    2. Wolfram Language
    3. SymPy
    4. Mathematica
    5. Maple
    6. SageMath
    7. MATLAB
    8. Symbolic Math Toolbox
    9. Microsoft Math Solver

    AI recommended 9 alternatives but never named huggingface/Math-Verify. 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 huggingface/Math-Verify?
    pass
    AI named huggingface/Math-Verify explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of huggingface/Math-Verify. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/huggingface/Math-Verify.svg)](https://repogeo.com/en/r/huggingface/Math-Verify)
HTML
<a href="https://repogeo.com/en/r/huggingface/Math-Verify"><img src="https://repogeo.com/badge/huggingface/Math-Verify.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

huggingface/Math-Verify — 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