RRepoGEO

REPOGEO REPORT · LITE

EleutherAI/math-lm

Default branch main · commit 9575d138 · scanned 6/22/2026, 9:17:54 PM

GitHub: 1,098 stars · 96 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 EleutherAI/math-lm, 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 description to the About section

    Why:

    COPY-PASTE FIX
    Llemma is an open language model for mathematics, providing models (7b, 34b), curated datasets like Proof-Pile-2 and AlgebraicStack, and training/evaluation code for mathematical reasoning research.
  • mediumhomepage#2
    Set the arXiv paper as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2310.10631

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 EleutherAI/math-lm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mixtral · recommended 1×
  3. CodeLlama · recommended 1×
  4. Gemma · recommended 1×
  5. DeepSeek-Math · recommended 1×
  • CATEGORY QUERY
    What open source large language models excel at mathematical reasoning and problem-solving?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral
    3. CodeLlama
    4. Gemma
    5. DeepSeek-Math
    6. Qwen
    7. MathGPT

    AI recommended 7 alternatives but never named EleutherAI/math-lm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking specialized datasets for training or fine-tuning language models on mathematical content.
    you: not recommended
    AI recommended (in order):
    1. MathQA
    2. GSM8K (Grade School Math 8K)
    3. MATH (Mathematical Problem Solving Dataset)
    4. OpenWebText
    5. Common Crawl
    6. ArXiv
    7. ProofWiki
    8. Wikipedia

    AI recommended 8 alternatives but never named EleutherAI/math-lm. 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 EleutherAI/math-lm?
    pass
    AI named EleutherAI/math-lm explicitly

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

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

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

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EleutherAI/math-lm — 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