RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Audio2

Default branch main · commit 76e272b5 · scanned 5/11/2026, 5:43:02 AM

GitHub: 1,417 stars · 103 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 stepfun-ai/Step-Audio2, 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
  • highreadme#1
    Reposition README's opening to clarify its core purpose as an audio LLM

    Why:

    CURRENT
    # Step-Audio 2
    COPY-PASTE FIX
    # Step-Audio 2: Industry-Strength Multi-Modal LLM for Audio Understanding and Speech Conversation
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    audio-llm, multi-modal-ai, speech-recognition, natural-language-understanding, conversational-ai, audio-understanding, large-language-model
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://stepfun.com/

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-Audio2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. GPT-4 · recommended 1×
  3. GPT-3.5 Turbo · recommended 1×
  4. Google's Speech-to-Text API · recommended 1×
  5. Gemini · recommended 1×
  • CATEGORY QUERY
    What are the best large language models for advanced audio understanding and speech interaction?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. GPT-4
    3. GPT-3.5 Turbo
    4. Google's Speech-to-Text API
    5. Gemini
    6. PaLM 2
    7. Conformer-2
    8. LeMUR
    9. SeamlessM4T
    10. Hugging Face Transformers
    11. Wav2Vec2
    12. HuBERT
    13. Whisper (open-source version)
    14. Llama 2
    15. Mistral 7B
    16. Mixtral 8x7B

    AI recommended 16 alternatives but never named stepfun-ai/Step-Audio2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an end-to-end multi-modal AI for robust speech processing and conversational applications.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Azure AI Services
    3. AWS AI Services
    4. Hugging Face Transformers (huggingface/transformers)
    5. OpenAI API
    6. Rasa (RasaHQ/rasa)

    AI recommended 6 alternatives but never named stepfun-ai/Step-Audio2. 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 stepfun-ai/Step-Audio2?
    pass
    AI named stepfun-ai/Step-Audio2 explicitly

    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-Audio2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-Audio2 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-Audio2 solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-Audio2 explicitly

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

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stepfun-ai/Step-Audio2 — 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