RRepoGEO

REPOGEO REPORT · LITE

gpt-omni/mini-omni2

Default branch main · commit 75f450ea · scanned 5/19/2026, 9:33:24 PM

GitHub: 1,891 stars · 209 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 gpt-omni/mini-omni2, 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
  • highreadme#1
    Reposition the README H1 and introduction to clarify its category

    Why:

    CURRENT
    # Mini-Omni2
    
    <p align="center">
        
    </p>
    
    
    <p align="center">
    🤗 <a href="https://huggingface.co/gpt-omni/mini-omni2">Hugging Face</a>   | 📖 <a href="https://github.com/gpt-omni/mini-omni2">Github</a> 
    |     📑 <a href="https://arxiv.org/abs/2410.11190">Technical report</a> 
    </p>
    
    <h5 align="center"> If you like little Omni2, please give us a star⭐ and cite our <a href="(https://arxiv.org/abs/2410.11190)">paper</a>!</h2>
    
    ## Introduction
    Mini-Omni2 is an **omni-interactive** model. It can **understand image, audio and text inputs and has end-to-end voice conversations with users**. Featuring **real-time voice output**, **omni-capable multimodal understanding** and flexible interaction **ability with interruption mechanism while speaking**.
    COPY-PASTE FIX
    # Mini-Omni2: An Open-Source GPT-4o Alternative for Real-time Multimodal Conversational AI
    
    <p align="center">
        
    </p>
    
    
    <p align="center">
    🤗 <a href="https://huggingface.co/gpt-omni/mini-omni2">Hugging Face</a>   | 📖 <a href="https://github.com/gpt-omni/mini-omni2">Github</a> 
    |     📑 <a href="https://arxiv.org/abs/2410.11190">Technical report</a> 
    </p>
    
    <h5 align="center"> If you like little Omni2, please give us a star⭐ and cite our <a href="(https://arxiv.org/abs/2410.11190)">paper</a>!</h2>
    
    ## Introduction
    Mini-Omni2 is an **omni-interactive multimodal large language model** designed to be an open-source alternative to GPT-4o. It can **understand image, audio and text inputs and has end-to-end voice conversations with users**, featuring **real-time voice output**, **omni-capable multimodal understanding** and flexible interaction **ability with interruption mechanism while speaking**.
  • mediumabout#2
    Enhance the repository's 'About' description

    Why:

    CURRENT
    Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities。
    COPY-PASTE FIX
    An open-source, real-time multimodal conversational AI model, Mini-Omni2 offers GPT-4o-like vision, speech, and duplex capabilities for end-to-end interactive experiences.

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-omni2
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Whisper · recommended 2×
  2. Coqui TTS · recommended 2×
  3. Google Tacotron 2 · recommended 1×
  4. Mozilla TTS · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    What open-source models offer real-time speech-to-speech multimodal conversational AI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. Google Tacotron 2
    3. Mozilla TTS
    4. Hugging Face Transformers
    5. VITS
    6. Meta's SeamlessM4T
    7. NVIDIA NeMo
    8. Conformer
    9. Citrinet
    10. FastPitch
    11. HiFi-GAN
    12. Coqui TTS
    13. Vosk
    14. Rasa
    15. Google MediaPipe
    16. ONNX Runtime
    17. TensorRT

    AI recommended 17 alternatives but never named gpt-omni/mini-omni2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source model that processes image, audio, and text for interactive conversations.
    you: not recommended
    AI recommended (in order):
    1. LLaVA
    2. BLIP-2
    3. OpenFlamingo
    4. MiniGPT-4
    5. OpenAI Whisper
    6. Mozilla DeepSpeech
    7. Coqui TTS
    8. ESPnet

    AI recommended 8 alternatives but never named gpt-omni/mini-omni2. 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-omni2?
    pass
    AI named gpt-omni/mini-omni2 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-omni2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gpt-omni/mini-omni2 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-omni2 solve, and who is the primary audience?
    pass
    AI named gpt-omni/mini-omni2 explicitly

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

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gpt-omni/mini-omni2 — 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
gpt-omni/mini-omni2 — RepoGEO report