RRepoGEO

REPOGEO REPORT · LITE

matlab/matlab-agentic-toolkit

Default branch main · commit 14634f88 · scanned 5/30/2026, 8:56:13 PM

GitHub: 554 stars · 68 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 matlab/matlab-agentic-toolkit, 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
  • highreadme#1
    Reposition README opening to clarify its unique role for AI agents in scientific computing.

    Why:

    CURRENT
    The MATLAB® Agentic Toolkit allows you to use AI agents with MATLAB by giving your AI agent the knowledge and context to work efficiently with MATLAB and its toolboxes. Use this toolkit to provide trusted MATLAB capabilities to your agent. This toolkit can prevent your AI coding agent from hallucinating toolbox functions, missing new features, and wasting time with extra steps that experienced MATLAB users would skip.
    COPY-PASTE FIX
    The MATLAB® Agentic Toolkit is a specialized framework designed to empower AI agents with trusted MATLAB capabilities, enabling them to proficiently execute engineering and scientific workflows. Unlike generic AI coding assistants, this toolkit provides your agent with deep knowledge of MATLAB and its toolboxes, preventing hallucinations and ensuring idiomatic, efficient code generation within the MATLAB environment.
  • mediumtopics#2
    Add more specific topics to clarify the domain and function.

    Why:

    CURRENT
    agent-skills, claude-code, codex-plugin, engineering-agents, github-copilot, matlab, matlab-mcp-server
    COPY-PASTE FIX
    agent-skills, claude-code, codex-plugin, engineering-agents, github-copilot, matlab, matlab-mcp-server, scientific-ai, engineering-ai, llm-integration, scientific-computing, simulation-ai
  • lowlicense#3
    Add a clear statement about the license(s) in the README.

    Why:

    COPY-PASTE FIX
    ## License
    This toolkit is provided under [describe your specific license terms here, e.g., 'a custom license as detailed in the LICENSE file', or 'a combination of X and Y licenses']. Please refer to the `LICENSE` file for full details.

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 matlab/matlab-agentic-toolkit
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. Codeium · recommended 1×
  4. jupyterlab/jupyter-ai · recommended 1×
  5. Amazon CodeWhisperer · recommended 1×
  • CATEGORY QUERY
    How can I integrate an AI coding assistant with my scientific computing environment?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Codeium
    4. Jupyter AI (jupyterlab/jupyter-ai)
    5. Amazon CodeWhisperer
    6. Google Gemini
    7. ChatGPT

    AI recommended 7 alternatives but never named matlab/matlab-agentic-toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents generate accurate and idiomatic code for engineering simulations?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Codex
    2. SymPy (sympy/sympy)
    3. FEniCS Project (FEniCS/dolfin)
    4. ModelingToolkit.jl (SciML/ModelingToolkit.jl)
    5. DifferentialEquations.jl (SciML/DifferentialEquations.jl)
    6. MATLAB
    7. Symbolic Math Toolbox
    8. Simulink
    9. OpenFOAM (OpenFOAM/OpenFOAM-dev)
    10. Google JAX (google/jax)

    AI recommended 10 alternatives but never named matlab/matlab-agentic-toolkit. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 matlab/matlab-agentic-toolkit?
    pass
    AI did not name matlab/matlab-agentic-toolkit — likely talking about a different project

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

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

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

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matlab/matlab-agentic-toolkit — 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