RRepoGEO

REPOGEO REPORT · LITE

Lux-Luna/LunaVox

Default branch main · commit ae5db5cd · scanned 6/22/2026, 8:02:00 PM

GitHub: 998 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 repository description

    Why:

    COPY-PASTE FIX
    High-performance C++ inference engine for Qwen3-TTS, delivering low-latency text-to-speech with native multi-language support, cross-platform hardware acceleration, and optional HTTP/WebSocket serving or desktop GUI.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    qwen3-tts, text-to-speech, tts-engine, cpp, inference-engine, onnx-runtime, llama-cpp, embedded-systems, low-latency, hardware-acceleration, cross-platform
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    CURRENT
    [](LICENSE)
    COPY-PASTE FIX
    Add a sentence near the existing license link or in a dedicated section: "This project is released under a custom license. Please refer to the [LICENSE](LICENSE) file for specific terms and conditions."

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
eSpeak NG
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. eSpeak NG · recommended 2×
  2. OpenVINO Toolkit · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. TensorRT · recommended 1×
  5. Mozilla DeepSpeech · recommended 1×
  • CATEGORY QUERY
    Need a fast C++ inference engine for text-to-speech with broad language detection.
    you: not recommended
    AI recommended (in order):
    1. OpenVINO Toolkit
    2. ONNX Runtime
    3. TensorRT
    4. Mozilla DeepSpeech
    5. eSpeak NG
    6. PicoVoice Porcupine/Rhino

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight TTS solution for embedded systems or low-latency server deployments.
    you: not recommended
    AI recommended (in order):
    1. PicoTTS
    2. eSpeak NG
    3. MaryTTS
    4. Mozilla TTS (Coqui TTS)
    5. Google Cloud Text-to-Speech
    6. Amazon Polly

    AI recommended 6 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.

RepoGEO badge previewLive preview
MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/Lux-Luna/LunaVox"><img src="https://repogeo.com/badge/Lux-Luna/LunaVox.svg" alt="RepoGEO" /></a>
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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