RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-Math

Default branch main · commit b8b0f8ce · scanned 5/25/2026, 8:12:44 PM

GitHub: 3,295 stars · 581 forks

AI VISIBILITY SCORE
35 /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
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 deepseek-ai/DeepSeek-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

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
    llm, large-language-model, mathematical-reasoning, math-solver, deep-learning, artificial-intelligence, open-source-llm
  • highreadme#2
    Strengthen the README's opening statement for mathematical LLM positioning

    Why:

    CURRENT
    The current README starts with badges and then '1. Introduction DeepSeekMath is initialized with DeepSeek-Coder-v1.5 7B and continues pre-training on math-related tokens...'
    COPY-PASTE FIX
    DeepSeekMath is a leading open-source large language model designed for advanced mathematical reasoning and problem-solving. Engineered from DeepSeek-Coder-v1.5 7B with extensive math-specific pre-training, it delivers competition-level performance, making it an unparalleled choice for integrating sophisticated mathematical capabilities into AI applications.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.deepseek.com/

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 deepseek-ai/DeepSeek-Math
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 8x7B Instruct / Mixtral 8x22B Instruct · recommended 1×
  3. Gemma 7B Instruct / Gemma 2B Instruct · recommended 1×
  4. Code Llama - Python · recommended 1×
  5. DeepSeekMath · recommended 1×
  • CATEGORY QUERY
    What open-source language models excel at advanced mathematical problem-solving and reasoning?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct / Mixtral 8x22B Instruct
    3. Gemma 7B Instruct / Gemma 2B Instruct
    4. Code Llama - Python
    5. DeepSeekMath

    AI recommended 5 alternatives but never named deepseek-ai/DeepSeek-Math. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI model to enhance my application's ability to solve intricate mathematical equations.
    you: not recommended
    AI recommended (in order):
    1. Wolfram Alpha
    2. OpenAI GPT-4
    3. Google's PaLM 2
    4. SymPy (sympy/sympy)
    5. MATLAB
    6. Maple

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-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
    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 deepseek-ai/DeepSeek-Math?
    pass
    AI named deepseek-ai/DeepSeek-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 deepseek-ai/DeepSeek-Math in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-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 deepseek-ai/DeepSeek-Math solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-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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deepseek-ai/DeepSeek-Math — 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