RRepoGEO

REPOGEO REPORT · LITE

yuanzhongqiao/deepmlab

Default branch main · commit 12ca68f8 · scanned 6/2/2026, 11:03:16 AM

GitHub: 1,089 stars · 119 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 yuanzhongqiao/deepmlab, 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.

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 yuanzhongqiao/deepmlab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SymPy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SymPy · recommended 1×
  2. spaCy · recommended 1×
  3. NLTK · recommended 1×
  4. Galois · recommended 1×
  5. OpenAI GPT models · recommended 1×
  • CATEGORY QUERY
    What open-source tools offer AI-driven mathematical modeling with a natural language interface?
    you: not recommended
    AI recommended (in order):
    1. SymPy
    2. spaCy
    3. NLTK
    4. Galois
    5. OpenAI GPT models
    6. GPT-3.5
    7. GPT-4
    8. Wolfram Language
    9. Hugging Face Transformers
    10. T5
    11. BART
    12. MathQA
    13. GSM8K
    14. Symbolic.jl
    15. ModelingToolkit.jl
    16. SageMath
    17. NumPy
    18. SciPy
    19. R

    AI recommended 19 alternatives but never named yuanzhongqiao/deepmlab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI-powered platform for numerical simulation and data analysis in engineering applications.
    you: not recommended
    AI recommended (in order):
    1. Ansys Discovery
    2. COMSOL Multiphysics
    3. Siemens Simcenter 3D
    4. Altair HyperWorks
    5. Altair RapidMiner
    6. Altair Knowledge Studio
    7. Dassault Systèmes SIMULIA
    8. Abaqus
    9. Isight
    10. 3DEXPERIENCE
    11. NVIDIA Modulus (NVIDIA/modulus)
    12. MathWorks MATLAB
    13. Simulink
    14. Deep Learning Toolbox
    15. Reinforcement Learning Toolbox

    AI recommended 15 alternatives but never named yuanzhongqiao/deepmlab. 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 yuanzhongqiao/deepmlab?
    pass
    AI named yuanzhongqiao/deepmlab explicitly

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

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

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

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yuanzhongqiao/deepmlab — 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