RRepoGEO

REPOGEO REPORT · LITE

qnguyen3/chat-with-mlx

Default branch main · commit 1b799c0b · scanned 5/10/2026, 9:32:52 PM

GitHub: 1,595 stars · 130 forks

AI VISIBILITY SCORE
28 /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
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 qnguyen3/chat-with-mlx, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, mlx, apple-silicon, macos, chat-ui, local-llm, privacy, huggingface, llama3, phi3
  • highreadme#2
    Reposition the README's opening sentence to clarify core purpose

    Why:

    CURRENT
    An all-in-one Chat Playground using Apple MLX on Apple Silicon Macs.
    COPY-PASTE FIX
    Chat with MLX is an all-in-one, privacy-focused LLM chat application specifically designed for Apple Silicon Macs, leveraging the MLX framework for optimal local performance.
  • mediumhomepage#3
    Remove personal Twitter link from homepage field

    Why:

    CURRENT
    https://twitter.com/stablequan
    COPY-PASTE FIX
    (none)

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 qnguyen3/chat-with-mlx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. ollama/ollama · recommended 2×
  3. mudler/LocalAI · recommended 2×
  4. janhq/jan · recommended 1×
  5. nomic-ai/gpt4all · recommended 1×
  • CATEGORY QUERY
    Need a privacy-focused local LLM chat application for my Apple Silicon Mac.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. LocalAI (mudler/LocalAI)
    5. GPT4All (nomic-ai/gpt4all)

    AI recommended 5 alternatives but never named qnguyen3/chat-with-mlx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for running and chatting with open-source LLMs on macOS?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. Jan (jan-ai/jan)
    4. LocalAI (mudler/LocalAI)
    5. llama-cpp-python (abetlen/llama-cpp-python)
    6. ctransformers (marella/ctransformers)
    7. Hugging Face Transformers (huggingface/transformers)
    8. bitsandbytes (TimDettmers/bitsandbytes)
    9. accelerate (huggingface/accelerate)

    AI recommended 9 alternatives but never named qnguyen3/chat-with-mlx. 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 qnguyen3/chat-with-mlx?
    pass
    AI named qnguyen3/chat-with-mlx explicitly

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

  • If a team adopts qnguyen3/chat-with-mlx in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qnguyen3/chat-with-mlx 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 qnguyen3/chat-with-mlx solve, and who is the primary audience?
    pass
    AI did not name qnguyen3/chat-with-mlx — 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

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qnguyen3/chat-with-mlx — 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