RRepoGEO

REPOGEO REPORT · LITE

microsoft/vidur

Default branch main · commit 8383d293 · scanned 6/6/2026, 4:31:54 AM

GitHub: 615 stars · 116 forks

AI VISIBILITY SCORE
35 /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
3 / 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 microsoft/vidur, 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's opening to emphasize GPU-free simulation

    Why:

    CURRENT
    # Vidur: LLM Inference System Simulator

Vidur is a high-fidelity and extensible LLM inference system simulator. It can help you with:
    COPY-PASTE FIX
    # Vidur: LLM Inference System Simulator

Vidur is a high-fidelity and extensible LLM inference system simulator. **It allows you to evaluate and optimize LLM inference systems without needing actual GPUs for most of the process.** It can help you with:
  • mediumtopics#2
    Expand repository topics with system design and performance modeling terms

    Why:

    CURRENT
    inference, llm, simulation, transformer, vllm
    COPY-PASTE FIX
    inference, llm, simulation, transformer, vllm, system-design, performance-modeling, scheduling, capacity-planning
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://microsoft.github.io/vidur/

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 microsoft/vidur
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Triton Inference Server
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Triton Inference Server · recommended 1×
  2. TensorRT · recommended 1×
  3. Prometheus · recommended 1×
  4. Grafana · recommended 1×
  5. DeepSpeed · recommended 1×
  • CATEGORY QUERY
    How to evaluate LLM inference system performance and optimize deployment configurations?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Triton Inference Server
    2. TensorRT
    3. Prometheus
    4. Grafana
    5. DeepSpeed
    6. ONNX Runtime
    7. Locust
    8. PyTorch Profiler
    9. TensorFlow Profiler

    AI recommended 9 alternatives but never named microsoft/vidur. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to simulate LLM inference scheduling algorithms without actual GPUs.
    you: not recommended
    AI recommended (in order):
    1. DeepSpeed-MII
    2. Ray Serve
    3. SimPy
    4. OpenAI Triton
    5. asyncio

    AI recommended 5 alternatives but never named microsoft/vidur. 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 microsoft/vidur?
    pass
    AI named microsoft/vidur explicitly

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

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

    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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MARKDOWN (README)
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HTML
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microsoft/vidur — 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