RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen2.5-Math

Default branch main · commit a45202bd · scanned 5/23/2026, 3:17:56 PM

GitHub: 1,079 stars · 160 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
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 QwenLM/Qwen2.5-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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository's root directory containing the full text of the chosen license.
  • highreadme#2
    Add a direct value proposition to the README introduction

    Why:

    CURRENT
    (The current introduction starts with "A month ago, we released the first series of mathematical LLMs...")
    COPY-PASTE FIX
    Insert a concise sentence after the initial links and before the "Introduction" heading, such as: "Qwen2.5-Math is a leading specialized large language model series engineered for highly accurate and complex mathematical reasoning, outperforming general-purpose LLMs in dedicated math tasks."
  • mediumtopics#3
    Expand repository topics for more precise categorization

    Why:

    CURRENT
    large-language-models, mathematics, qwen2
    COPY-PASTE FIX
    large-language-models, mathematics, qwen2, mathematical-reasoning, llm-for-math, deep-learning-models, ai-in-mathematics

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 QwenLM/Qwen2.5-Math
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. Claude 3 Opus · recommended 2×
  3. Llama 3 · recommended 2×
  4. Gemini 1.5 Pro · recommended 1×
  5. Mistral Large · recommended 1×
  • CATEGORY QUERY
    What are the best large language models for solving complex mathematical problems?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mistral Large

    AI recommended 5 alternatives but never named QwenLM/Qwen2.5-Math. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a highly accurate language model specifically trained for mathematical reasoning and calculations.
    you: not recommended
    AI recommended (in order):
    1. Minerva
    2. AlphaGeometry
    3. GPT-4
    4. Claude 3 Opus
    5. Llama 3
    6. Wolfram Alpha

    AI recommended 6 alternatives but never named QwenLM/Qwen2.5-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 QwenLM/Qwen2.5-Math?
    pass
    AI named QwenLM/Qwen2.5-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 QwenLM/Qwen2.5-Math in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QwenLM/Qwen2.5-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 QwenLM/Qwen2.5-Math solve, and who is the primary audience?
    pass
    AI named QwenLM/Qwen2.5-Math 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 QwenLM/Qwen2.5-Math. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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QwenLM/Qwen2.5-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
QwenLM/Qwen2.5-Math — RepoGEO report