RRepoGEO

REPOGEO REPORT · LITE

waybarrios/vllm-mlx

Default branch main · commit a48c86c1 · scanned 6/24/2026, 2:21:55 AM

GitHub: 1,365 stars · 188 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
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 waybarrios/vllm-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
  • highreadme#1
    Reposition the README's opening to emphasize 'inference server'

    Why:

    CURRENT
    **Continuous batching + OpenAI + Anthropic APIs in one server. Native Apple Silicon inference.**
    COPY-PASTE FIX
    **vLLM-style inference server for Apple Silicon Macs with continuous batching + OpenAI + Anthropic APIs.**
  • hightopics#2
    Add 'inference-server' and 'high-performance' to topics

    Why:

    CURRENT
    anthropic, apple-silicon, audio-processing, claude-code, computer-vision, image-understanding, inference, llm, machine-learning, macos, mllm, mlx, multimodal-ai, speech-to-text, stt, text-to-speech, tts, video-understanding, vision-language-model, vllm
    COPY-PASTE FIX
    anthropic, apple-silicon, audio-processing, claude-code, computer-vision, image-understanding, inference, inference-server, llm, machine-learning, macos, mllm, mlx, multimodal-ai, high-performance, speech-to-text, stt, text-to-speech, tts, video-understanding, vision-language-model, vllm
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/waybarrios/vllm-mlx

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 waybarrios/vllm-mlx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. go-skynet/LocalAI · recommended 1×
  4. oobabooga/text-generation-webui · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How to run large language models locally on Apple Silicon with OpenAI compatible API?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LocalAI (go-skynet/LocalAI)
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. llama.cpp (ggerganov/llama.cpp)
    6. vLLM (vllm-project/vllm)

    AI recommended 6 alternatives but never named waybarrios/vllm-mlx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Efficiently serve multimodal AI models on a Mac with continuous batching support?
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. Triton Inference Server
    3. ONNX Runtime
    4. TorchServe
    5. FastAPI

    AI recommended 5 alternatives but never named waybarrios/vllm-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 waybarrios/vllm-mlx?
    pass
    AI did not name waybarrios/vllm-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?

  • If a team adopts waybarrios/vllm-mlx in production, what risks or prerequisites should they evaluate first?
    pass
    AI named waybarrios/vllm-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 waybarrios/vllm-mlx solve, and who is the primary audience?
    pass
    AI named waybarrios/vllm-mlx 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 waybarrios/vllm-mlx. 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/waybarrios/vllm-mlx.svg)](https://repogeo.com/en/r/waybarrios/vllm-mlx)
HTML
<a href="https://repogeo.com/en/r/waybarrios/vllm-mlx"><img src="https://repogeo.com/badge/waybarrios/vllm-mlx.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

waybarrios/vllm-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