RRepoGEO

REPOGEO REPORT · LITE

sybil-solutions/vllm-studio

Default branch main · commit 89ae73e3 · scanned 6/24/2026, 4:23:20 PM

GitHub: 1,181 stars · 94 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 sybil-solutions/vllm-studio, 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 sentence to clarify its core function

    Why:

    CURRENT
    vLLM Studio is a local-first workstation for running, managing, and using self-hosted LLM backends. It combines a controller API, a Next.js/Electron interface, and a small CLI so one machine can launch models, watch GPU/runtime state, chat with OpenAI-compatible endpoints, and run agent sessions against local or remote controllers.
    COPY-PASTE FIX
    vLLM Studio is a local-first desktop application and web UI, serving as a control panel for running, managing, and interacting with multiple self-hosted LLM backends like vLLM, Sglang, llama.cpp, and exllamav3. It combines a controller API, a Next.js/Electron interface, and a small CLI so one machine can launch models, watch GPU/runtime state, chat with OpenAI-compatible endpoints, and run agent sessions against local or remote controllers.
  • mediumtopics#2
    Add more specific topics to align with competitor categories and search queries

    Why:

    CURRENT
    ai, exllama, hosting, llamacpp, local, local-ai, self, sglang, vllm
    COPY-PASTE FIX
    ai, desktop-app, exllama, hosting, inference-server, llamacpp, llm-ui, local, local-ai, lm-studio-alternative, model-management, ollama-alternative, self, sglang, vllm
  • lowabout#3
    Refine the 'About' description to be more explicit about its multi-engine control panel nature

    Why:

    CURRENT
    Control panel for VLLM, Sglang, llama.cpp, exllamav3
    COPY-PASTE FIX
    A local-first desktop and web UI control panel for managing and interacting with multiple self-hosted LLM backends, including vLLM, Sglang, llama.cpp, and exllamav3.

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 sybil-solutions/vllm-studio
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 · recommended 2×
  3. LocalAI · recommended 1×
  4. MLflow · recommended 1×
  5. Docker · recommended 1×
  • CATEGORY QUERY
    How can I easily manage and monitor multiple local LLM inference engines?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalAI
    4. MLflow
    5. Docker
    6. Docker Compose
    7. cAdvisor
    8. Prometheus
    9. Grafana
    10. Kubernetes
    11. Minikube
    12. K3s
    13. ELK stack
    14. Elasticsearch
    15. Logstash
    16. Kibana

    AI recommended 16 alternatives but never named sybil-solutions/vllm-studio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop application to control and interact with self-hosted AI models.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. Pinokio
    5. InvokeAI
    6. ComfyUI

    AI recommended 6 alternatives but never named sybil-solutions/vllm-studio. 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 sybil-solutions/vllm-studio?
    pass
    AI named sybil-solutions/vllm-studio explicitly

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

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

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sybil-solutions/vllm-studio — 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