RRepoGEO

REPOGEO REPORT · LITE

canopyai/Orpheus-TTS

Default branch main · commit e64661fe · scanned 5/29/2026, 11:33:07 AM

GitHub: 6,152 stars · 524 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 canopyai/Orpheus-TTS, 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
  • highreadme#1
    Reposition the README H1 to highlight core SOTA capabilities

    Why:

    CURRENT
    # Orpheus TTS
    COPY-PASTE FIX
    # Orpheus TTS: SOTA Human-Like Text-to-Speech with Zero-Shot Voice Cloning & LLM Backbone
  • mediumtopics#2
    Expand repository topics to include specific advanced features

    Why:

    CURRENT
    llm, realtime, tts
    COPY-PASTE FIX
    llm, realtime, tts, voice-cloning, speech-synthesis, generative-ai, human-like-speech, text-to-speech-model, emotion-control
  • lowreadme#3
    Add a "Key Differentiators" section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators
    
    Orpheus TTS stands out as a production-focused, real-time, multi-speaker, and voice-cloning Text-to-Speech system built on the Llama-3b backbone, emphasizing ease of use and integration. We offer superior natural intonation, emotion, and rhythm compared to many SOTA closed-source models, alongside zero-shot voice cloning and guided emotion control.

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 canopyai/Orpheus-TTS
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mozilla/TTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mozilla/TTS · recommended 1×
  2. coqui-ai/TTS · recommended 1×
  3. espnet/espnet · recommended 1×
  4. TensorFlow/Text-to-Speech · recommended 1×
  5. MycroftAI/mimic3 · recommended 1×
  • CATEGORY QUERY
    What are the leading open-source text-to-speech systems for generating natural, human-like speech?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS (mozilla/TTS)
    2. Coqui TTS (coqui-ai/TTS)
    3. ESPnet (espnet/espnet)
    4. TensorFlow TTS (TensorFlow/Text-to-Speech)
    5. Mycroft Mimic 3 (MycroftAI/mimic3)
    6. DeepSpeech (mozilla/DeepSpeech)

    AI recommended 6 alternatives but never named canopyai/Orpheus-TTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to achieve zero-shot voice cloning and guided emotion control in a speech synthesis model?
    you: not recommended
    AI recommended (in order):
    1. VALL-E / VALL-E X
    2. Meta Voice
    3. YourTTS
    4. StyleTTS 2
    5. OpenVoice
    6. Tortoise-TTS

    AI recommended 6 alternatives but never named canopyai/Orpheus-TTS. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 canopyai/Orpheus-TTS?
    pass
    AI named canopyai/Orpheus-TTS explicitly

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

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