RRepoGEO

REPOGEO REPORT · LITE

gpt-omni/mini-omni2

Default branch main · commit 75f450ea · scanned 7/1/2026, 7:33:28 AM

GitHub: 1,899 stars · 208 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

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-ai, llm, gpt-4o, vision-language-model, speech-to-speech, conversational-ai, real-time, open-source
  • highreadme#2
    Refine the README introduction to emphasize 'open-source' and 'end-to-end model'

    Why:

    CURRENT
    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 is an **open-source, omni-interactive model** designed to replicate **GPT-4o's vision, speech, and duplex capabilities**. 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**.
  • mediumreadme#3
    Add a 'Why Mini-Omni2?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Mini-Omni2? 

Unlike separate ASR/TTS systems or vision-language models, Mini-Omni2 provides a single, end-to-end solution for real-time multimodal conversational AI, integrating vision, speech, and text understanding with duplex voice capabilities.

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. facebookresearch/fairseq · recommended 2×
  3. Google Cloud Dialogflow CX · recommended 1×
  4. Google Cloud Speech-to-Text · recommended 1×
  5. Google Cloud Text-to-Speech · recommended 1×
  • CATEGORY QUERY
    How can I integrate a real-time multimodal conversational AI with speech-to-speech capabilities?
    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. Amazon Lex
    5. Amazon Transcribe
    6. Amazon Polly
    7. Microsoft Azure Bot Service
    8. Azure Speech-to-Text
    9. Azure Text-to-Speech
    10. Rasa Open Source (RasaHQ/rasa)
    11. Mozilla DeepSpeech (mozilla/DeepSpeech)
    12. OpenAI Whisper (openai/whisper)
    13. Tacotron 2
    14. Mozilla TTS (mozilla/TTS)
    15. AssemblyAI
    16. ElevenLabs
    17. OpenAI's GPT models
    18. SpaCy (explosion/spaCy)
    19. NLTK (nltk/nltk)

    AI recommended 19 alternatives but never named gpt-omni/mini-omni2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source model that processes vision, speech, and text for interactive AI.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. LLaVA (haotian-liu/LLaVA)
    3. BLIP-2 (salesforce/BLIP2)
    4. LLaMA 2 (facebookresearch/llama)
    5. Mistral (mistralai/mistral-src)
    6. Bark (suno-ai/bark)
    7. VITS (jaywalnut310/vits)
    8. SeamlessM4T (facebookresearch/seamless_communication)
    9. PaLM 2
    10. Open-Assistant (LAION-AI/Open-Assistant)
    11. Alpaca-LoRA (tloen/alpaca-lora)
    12. Hugging Face Transformers Library (huggingface/transformers)
    13. ViT-GPT2
    14. BLIP (salesforce/BLIP)
    15. GIT (microsoft/GIT)
    16. Wav2Vec2 (facebookresearch/fairseq)
    17. HuBERT (facebookresearch/fairseq)
    18. Tacotron 2 (NVIDIA/tacotron2)
    19. FastSpeech 2
    20. Falcon (tiiuae/falcon)
    21. MPT (mosaicml/llm-foundry)
    22. Kosmos-2 (microsoft/kosmos-2)
    23. OpenVINO (openvinotoolkit/openvino)

    AI recommended 23 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