RRepoGEO

REPOGEO REPORT · LITE

lucasjinreal/Kokoros

Default branch main · commit 3d52b370 · scanned 6/8/2026, 11:08:35 PM

GitHub: 785 stars · 105 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 lucasjinreal/Kokoros, 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
    Refine the repository's 'About' description for explicit clarity

    Why:

    CURRENT
    🔥🔥 Kokoro in Rust. https://huggingface.co/hexgrad/Kokoro-82M Insanely fast, realtime TTS with high quality you ever have.
    COPY-PASTE FIX
    Insanely fast, high-quality, real-time Text-to-Speech (TTS) engine and Rust library, powered by the Kokoro model. Supports embedded builds and WASM. https://huggingface.co/hexgrad/Kokoro-82M
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/hexgrad/Kokoro-82M

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 lucasjinreal/Kokoros
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 1×
  2. Amazon Polly · recommended 1×
  3. Microsoft Azure Cognitive Services Speech · recommended 1×
  4. ElevenLabs · recommended 1×
  5. DeepMotion · recommended 1×
  • CATEGORY QUERY
    What are the fastest real-time text-to-speech engines offering high-quality voice synthesis?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure Cognitive Services Speech
    4. ElevenLabs
    5. DeepMotion
    6. Resemble AI

    AI recommended 6 alternatives but never named lucasjinreal/Kokoros. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Rust-based TTS library for embedded systems needing fast, high-quality audio output.
    you: not recommended
    AI recommended (in order):
    1. esp-idf-sys
    2. rtts
    3. vosk-api
    4. espeak-ng-sys
    5. marytts-client

    AI recommended 5 alternatives but never named lucasjinreal/Kokoros. 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 lucasjinreal/Kokoros?
    pass
    AI named lucasjinreal/Kokoros explicitly

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

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

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

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MARKDOWN (README)
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lucasjinreal/Kokoros — 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