RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Audio2

Default branch main · commit 76e272b5 · scanned 6/21/2026, 8:47:59 AM

GitHub: 1,464 stars · 107 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 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
    Clarify project's core purpose in README's opening

    Why:

    CURRENT
    The README excerpt starts with '🔥🔥🔥 News!!' and then 'Introd' is cut off, delaying the core message.
    COPY-PASTE FIX
    Add a concise, prominent paragraph immediately after the title, stating: 'Step-Audio 2 is an end-to-end multi-modal large language model designed for industry-strength audio understanding and speech conversation, focusing on advanced analysis and robust conversational AI.'
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["multi-modal-llm", "audio-understanding", "speech-conversation", "large-language-model", "audio-analysis", "generative-ai", "deep-learning"]
  • mediumhomepage#3
    Add a homepage URL to 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
openai/whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 2×
  2. AudioPaLM · recommended 1×
  3. facebookresearch/seamless_communication · recommended 1×
  4. SpeechGPT · recommended 1×
  5. haotian-liu/LLaVA · recommended 1×
  • CATEGORY QUERY
    What are the best multi-modal large language models for advanced audio understanding?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. AudioPaLM
    3. SeamlessM4T (facebookresearch/seamless_communication)
    4. SpeechGPT
    5. LLaVA-Med (haotian-liu/LLaVA)
    6. PaliGemma

    AI recommended 6 alternatives but never named stepfun-ai/Step-Audio2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an robust end-to-end model for industry-strength speech conversation and audio analysis.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo (NVIDIA/NeMo)
    2. Google Cloud Speech-to-Text / Text-to-Speech / Natural Language API
    3. Amazon Transcribe / Polly / Comprehend
    4. OpenAI Whisper (openai/whisper)
    5. Hugging Face Transformers (huggingface/transformers)
    6. AssemblyAI
    7. DeepSpeech (Mozilla) (mozilla/DeepSpeech)
    8. Coqui STT (coqui-ai/STT)

    AI recommended 8 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