RRepoGEO

REPOGEO REPORT · LITE

lmstudio-ai/lms

Default branch main · commit 4ecb9cd9 · scanned 5/25/2026, 5:08:09 PM

GitHub: 4,864 stars · 393 forks

AI VISIBILITY SCORE
27 /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
1 / 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 lmstudio-ai/lms, 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
    Clarify README's opening statement to emphasize "managing local LLM servers"

    Why:

    CURRENT
    <p align="center"><bold><code>lms</code> - Command Line Tool for <a href="https://lmstudio.ai/">LM Studio</a></bold></p>
    COPY-PASTE FIX
    <p align="center"><bold><code>lms</code> - Command Line Interface (CLI) for managing your local <a href="https://lmstudio.ai/">LM Studio</a> LLM server and models</bold></p>
  • mediumtopics#2
    Add more specific topics related to LLM server management and CLI tools

    Why:

    CURRENT
    llm, lmstudio, nodejs, typescript
    COPY-PASTE FIX
    llm, lmstudio, nodejs, typescript, cli, llm-server, model-management, local-llm
  • lowreadme#3
    Add a concise "What is lms?" section to the README

    Why:

    COPY-PASTE FIX
    ## What is lms?

`lms` is the official command-line interface (CLI) for LM Studio, designed to give you full control over your local Large Language Model (LLM) server and downloaded models. It allows developers and power users to start/stop the LM Studio API server, list and manage models, and interact with your local LLMs directly from the terminal. Built with `lmstudio.js`, `lms` simplifies the management of your local AI inference environment.

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 lmstudio-ai/lms
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. cURL · recommended 1×
  3. HTTPie · recommended 1×
  4. requests · recommended 1×
  5. llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to control my local large language model server from the command line?
    you: not recommended
    AI recommended (in order):
    1. cURL
    2. HTTPie
    3. requests
    4. Ollama
    5. llama.cpp

    AI recommended 5 alternatives but never named lmstudio-ai/lms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Node.js tools exist for managing local LLM models and API servers?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. axios
    3. node-fetch
    4. Llama.cpp
    5. node-llama-cpp
    6. llama-cpp-js
    7. LangChain.js
    8. Transformers.js
    9. TensorFlow.js
    10. ONNX Runtime
    11. onnxruntime-node

    AI recommended 11 alternatives but never named lmstudio-ai/lms. 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 lmstudio-ai/lms?
    pass
    AI did not name lmstudio-ai/lms — 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 lmstudio-ai/lms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lmstudio-ai/lms 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 lmstudio-ai/lms solve, and who is the primary audience?
    pass
    AI did not name lmstudio-ai/lms — 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?

Embed your GEO score

Drop this badge into the README of lmstudio-ai/lms. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/lmstudio-ai/lms.svg)](https://repogeo.com/en/r/lmstudio-ai/lms)
HTML
<a href="https://repogeo.com/en/r/lmstudio-ai/lms"><img src="https://repogeo.com/badge/lmstudio-ai/lms.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lmstudio-ai/lms — 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