RRepoGEO

REPOGEO REPORT · LITE

gpt-omni/mini-omni

Default branch main · commit 26c31d5b · scanned 5/10/2026, 1:33:21 PM

GitHub: 3,545 stars · 311 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 gpt-omni/mini-omni, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multimodal-llm, speech-to-speech, real-time-ai, conversational-ai, streaming-audio, large-language-model, open-source-ai, voice-assistant, end-to-end-speech
  • highreadme#2
    Add a direct statement clarifying Mini-Omni's nature and availability

    Why:

    CURRENT
    The README's first content sentence after the title is "Mini-Omni is an open-source multimodal large language model that can hear, talk while thinking."
    COPY-PASTE FIX
    This repository provides the **fully open-source model and code** for Mini-Omni, a real-time multimodal LLM, **available now** for researchers and developers.
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike cloud-based speech services (e.g., Google Cloud Speech-to-Text, AWS Lex) or separate ASR/TTS models (e.g., OpenAI Whisper, Tacotron 2), Mini-Omni provides a single, open-source, end-to-end multimodal large language model for real-time speech input and streaming audio output, enabling 'talking while thinking' capabilities directly on your hardware.

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 gpt-omni/mini-omni
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 2×
  2. Google Cloud Text-to-Speech · recommended 2×
  3. Tacotron 2 · recommended 2×
  4. Google Cloud Dialogflow CX · recommended 1×
  5. AWS Lex V2 · recommended 1×
  • CATEGORY QUERY
    How to implement a real-time conversational AI with integrated speech input and streaming output?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow CX
    2. Google Cloud Speech-to-Text
    3. Google Cloud Text-to-Speech
    4. AWS Lex V2
    5. Amazon Transcribe
    6. Amazon Polly
    7. Microsoft Azure Bot Service
    8. Azure Speech Service
    9. Rasa Open Source
    10. Kaldi
    11. Vosk
    12. Tacotron 2
    13. WaveNet
    14. OpenAI API
    15. Google Cloud Speech-to-Text
    16. Google Cloud Text-to-Speech
    17. Deepgram
    18. ElevenLabs
    19. spaCy
    20. Hugging Face Transformers

    AI recommended 20 alternatives but never named gpt-omni/mini-omni. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source multimodal large language model for simultaneous speech and text generation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. GPT-2
    3. GPT-Neo
    4. LLaMA
    5. Alpaca
    6. Vicuna
    7. Mozilla TTS
    8. Coqui TTS
    9. Tacotron 2
    10. WaveGlow
    11. Meta's SeamlessM4T
    12. Bark
    13. Google's Speech-to-Text API
    14. Google's Text-to-Speech API
    15. LLaMA 2
    16. Falcon
    17. Fairseq S2T
    18. Fairseq TTS

    AI recommended 18 alternatives but never named gpt-omni/mini-omni. 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 gpt-omni/mini-omni?
    pass
    AI named gpt-omni/mini-omni explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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