RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Audio-R1

Default branch main · commit c73a43cd · scanned 6/7/2026, 3:57:49 PM

GitHub: 672 stars · 48 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 stepfun-ai/Step-Audio-R1, 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
  • highabout#1
    Add a concise description for the repository

    Why:

    COPY-PASTE FIX
    Step-Audio-R1 is an open-source large audio model and benchmarks for advanced audio understanding, including audio captioning, spoken question answering (SPQA), and dialogue understanding.
  • mediumreadme#2
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    # Step-Audio-R1/R1.5
    COPY-PASTE FIX
    # Step-Audio-R1/R1.5

Step-Audio-R1 is an open-source large audio model designed for advanced audio understanding tasks, including audio captioning, spoken question answering (SPQA), and dialogue understanding. This repository provides inference code, model weights, and benchmarks for these 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 stepfun-ai/Step-Audio-R1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 2×
  2. PyAnnote.audio · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Mozilla DeepSpeech · recommended 1×
  5. Vosk · recommended 1×
  • CATEGORY QUERY
    What open-source models are available for advanced audio understanding and dialogue analysis?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. PyAnnote.audio
    3. Hugging Face Transformers
    4. Mozilla DeepSpeech
    5. Vosk
    6. SpeechBrain

    AI recommended 6 alternatives but never named stepfun-ai/Step-Audio-R1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement audio captioning or spoken question answering using open-source AI models?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. BLIP-2
    3. LLaVA
    4. InstructBLIP
    5. SeamlessM4T
    6. Wav2Vec2
    7. Llama 2
    8. Mistral
    9. Falcon
    10. AudioGPT
    11. SpeechT5

    AI recommended 11 alternatives but never named stepfun-ai/Step-Audio-R1. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 stepfun-ai/Step-Audio-R1?
    pass
    AI did not name stepfun-ai/Step-Audio-R1 — likely talking about a different project

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

  • If a team adopts stepfun-ai/Step-Audio-R1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-Audio-R1 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 stepfun-ai/Step-Audio-R1 solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-Audio-R1 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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stepfun-ai/Step-Audio-R1 — 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