RRepoGEO

REPOGEO REPORT · LITE

Lux-Luna/LunaVox

Default branch main · commit ae5db5cd · scanned 5/23/2026, 7:56:54 PM

GitHub: 1,007 stars · 43 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Lux-Luna/LunaVox, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    High-performance C++ inference engine for Qwen3-TTS, optimized for low-latency, multi-language text-to-speech on embedded, desktop, and server platforms with cross-platform hardware acceleration.
  • hightopics#2
    Add comprehensive topics for better categorization

    Why:

    COPY-PASTE FIX
    qwen3-tts, text-to-speech, tts-engine, cpp, inference-engine, onnx-runtime, low-latency, multi-language, embedded, desktop, server, cuda, coreml, metal, dml, vulkan
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://lux-luna.github.io/LunaVox/

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 Lux-Luna/LunaVox
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ONNX Runtime
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. ONNX Runtime · recommended 3×
  2. NVIDIA Riva · recommended 2×
  3. OpenVINO · recommended 1×
  4. TensorRT · recommended 1×
  5. libtorch · recommended 1×
  • CATEGORY QUERY
    What are the best C++ inference engines for low-latency, multi-language text-to-speech?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. OpenVINO
    3. ONNX Runtime
    4. TensorRT
    5. libtorch
    6. TensorFlow Lite

    AI recommended 6 alternatives but never named Lux-Luna/LunaVox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to deploy a lightweight, high-performance TTS solution on embedded devices or servers?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS
    2. ONNX Runtime
    3. ESP-IDF
    4. ESP-ADF
    5. Coqui TTS
    6. ONNX Runtime
    7. OpenVINO Toolkit
    8. NVIDIA Riva
    9. PicoTTS
    10. eSpeak NG

    AI recommended 10 alternatives but never named Lux-Luna/LunaVox. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Lux-Luna/LunaVox?
    pass
    AI named Lux-Luna/LunaVox explicitly

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

  • If a team adopts Lux-Luna/LunaVox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Lux-Luna/LunaVox 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 Lux-Luna/LunaVox solve, and who is the primary audience?
    pass
    AI named Lux-Luna/LunaVox 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 Lux-Luna/LunaVox. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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Lux-Luna/LunaVox — 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