RRepoGEO

REPOGEO REPORT · LITE

kyutai-labs/hibiki

Default branch main · commit f1cf9293 · scanned 5/20/2026, 5:18:47 AM

GitHub: 1,458 stars · 117 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 kyutai-labs/hibiki, 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 specific topics for speech translation and AI models

    Why:

    COPY-PASTE FIX
    speech-to-speech-translation, simultaneous-translation, real-time-translation, speech-translation, ai-model, deep-learning, nlp, audio-processing
  • highreadme#2
    Add a concise, direct summary sentence immediately after the H1

    Why:

    COPY-PASTE FIX
    Hibiki is a cutting-edge model designed for real-time, simultaneous speech-to-speech translation, delivering both natural speech and timestamped text output.
  • mediumcomparison#3
    Add a 'Comparison' section to clarify Hibiki's unique position

    Why:

    COPY-PASTE FIX
    ## Comparison to other solutions

Hibiki is specifically designed for *simultaneous speech-to-speech translation*, focusing on real-time, chunk-by-chunk output with integrated text and audio. Unlike general-purpose LLM inference servers (e.g., vLLM, TGI) or offline translation APIs, Hibiki's architecture is optimized for low-latency, continuous streaming of spoken language, including voice transfer, rather than text-only or batch processing.

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 kyutai-labs/hibiki
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Translation API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Translation API · recommended 2×
  2. DeepL API · recommended 2×
  3. AssemblyAI · recommended 2×
  4. ElevenLabs · recommended 2×
  5. OpenAI Whisper · recommended 2×
  • CATEGORY QUERY
    How to implement real-time speech-to-speech translation for live conversations?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Translation API
    2. Amazon Web Services (AWS) Translate
    3. Microsoft Azure Cognitive Services
    4. DeepL API
    5. AssemblyAI
    6. ElevenLabs
    7. OpenAI Whisper
    8. Google Cloud Translate
    9. OpenNMT
    10. Fairseq
    11. Mozilla DeepSpeech

    AI recommended 11 alternatives but never named kyutai-labs/hibiki. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide simultaneous speech translation with text and audio output streams?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Translation API
    2. Media Translation API
    3. Google Speech-to-Text API
    4. Google Text-to-Speech API
    5. AWS Translate
    6. AWS Transcribe
    7. AWS Polly
    8. Microsoft Azure AI Translator
    9. Azure Speech-to-Text
    10. Azure Text-to-Speech
    11. DeepL API
    12. AssemblyAI
    13. Google Speech-to-Text
    14. AWS Speech-to-Text
    15. Azure Speech-to-Text
    16. Google Text-to-Speech
    17. AWS Polly
    18. OpenAI Whisper
    19. OpenAI GPT
    20. ElevenLabs
    21. Google TTS
    22. AWS TTS
    23. Azure TTS
    24. Hugging Face Transformers
    25. Whisper
    26. Wav2Vec2

    AI recommended 26 alternatives but never named kyutai-labs/hibiki. 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 kyutai-labs/hibiki?
    pass
    AI named kyutai-labs/hibiki explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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kyutai-labs/hibiki — 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