RRepoGEO

REPOGEO REPORT · LITE

luminal-ai/luminal

Default branch main · commit a3df68bd · scanned 5/20/2026, 2:52:05 PM

GitHub: 2,843 stars · 206 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
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 luminal-ai/luminal, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    machine-learning, inference, compiler, deep-learning, rust, pytorch, llm, ai, high-performance
  • highreadme#2
    Clarify README H1 to emphasize Rust ML inference compiler

    Why:

    CURRENT
    <h3 align="center">Luminal is a high-performance general-purpose inference compiler.</h3>
    COPY-PASTE FIX
    <h3 align="center">Luminal is a high-performance Rust inference compiler for machine learning models.</h3>
  • mediumreadme#3
    Add a "Why Luminal?" section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why Luminal?

Luminal stands out as a high-performance inference compiler by prioritizing extreme minimalism, resource predictability, and a Rust-native approach, offering a unique alternative to existing solutions like TensorRT or TVM.

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 luminal-ai/luminal
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA TensorRT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA TensorRT · recommended 1×
  2. OpenVINO Toolkit · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. TVM (Apache TVM) · recommended 1×
  5. PyTorch JIT (TorchScript) · recommended 1×
  • CATEGORY QUERY
    How to achieve high-performance, low-latency machine learning model inference on various hardware?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. OpenVINO Toolkit
    3. ONNX Runtime
    4. TVM (Apache TVM)
    5. PyTorch JIT (TorchScript)
    6. TensorFlow Lite
    7. DeepSparse (by Neural Magic)
    8. MIGraphX (AMD)

    AI recommended 8 alternatives but never named luminal-ai/luminal. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Rust libraries for optimizing and deploying large language models locally?
    you: not recommended
    AI recommended (in order):
    1. candle (huggingface/candle)
    2. llm (rust-llm/llm)
    3. ort (onnx/ort)
    4. tch-rs (LaurentMazare/tch-rs)
    5. tract (sonos/tract)
    6. rbert (m-labs/rbert)

    AI recommended 6 alternatives but never named luminal-ai/luminal. 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 luminal-ai/luminal?
    pass
    AI named luminal-ai/luminal explicitly

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

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