RRepoGEO

REPOGEO REPORT · LITE

MisoLabsAI/MisoTTS

Default branch main · commit cd7dde13 · scanned 6/10/2026, 9:18:14 AM

GitHub: 2,581 stars · 230 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 MisoLabsAI/MisoTTS, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://misolabs.ai
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Miso TTS is released under a custom license. Please refer to the `LICENSE` file in this repository for full details on usage and distribution.

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 MisoLabsAI/MisoTTS
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs · recommended 1×
  2. Google Cloud Text-to-Speech · recommended 1×
  3. Amazon Polly · recommended 1×
  4. Microsoft Azure AI Speech · recommended 1×
  5. ElevenLabs Text to Speech · recommended 1×
  • CATEGORY QUERY
    How can I generate highly emotive, natural-sounding speech from text programmatically?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs

    AI recommended 1 alternative but never named MisoLabsAI/MisoTTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best large-scale text-to-speech models for realistic voice generation?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure AI Speech
    4. ElevenLabs Text to Speech
    5. Meta AI's Voicebox
    6. Resemble.ai

    AI recommended 6 alternatives but never named MisoLabsAI/MisoTTS. 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 MisoLabsAI/MisoTTS?
    pass
    AI named MisoLabsAI/MisoTTS explicitly

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

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

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

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MisoLabsAI/MisoTTS — 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