RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Audio

Default branch main · commit a52b94d8 · scanned 6/1/2026, 11:43:02 AM

GitHub: 21 stars · 0 forks

AI VISIBILITY SCORE
30 /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
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-Audio, 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 to the 'About' section

    Why:

    COPY-PASTE FIX
    Legacy repository for Step-Audio, a foundational framework for AI audio generation and editing. This project is no longer maintained; please refer to Step-Audio2, Step-Audio-R1, and Step-Audio-EditX for active development in speech conversation, reasoning, and audio editing.
  • mediumreadme#2
    Add a brief introductory sentence before the deprecation notice in README

    Why:

    CURRENT
    # This repository is no longer maintained, please refer to:
    COPY-PASTE FIX
    Step-Audio was a foundational framework designed for integrating state-of-the-art AI models for audio generation and editing tasks, including speech conversation and reasoning.
    
    # This repository is no longer maintained, please refer to:

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
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Dialogflow CX
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Dialogflow CX · recommended 1×
  2. Google Cloud Speech-to-Text · recommended 1×
  3. Google Cloud Text-to-Speech · recommended 1×
  4. Azure Bot Service · recommended 1×
  5. Azure Cognitive Services · recommended 1×
  • CATEGORY QUERY
    What AI models can I use for end-to-end speech conversation and reasoning tasks?
    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. Azure Bot Service
    5. Azure Cognitive Services
    6. Azure Speech
    7. Azure Language
    8. LUIS
    9. QnA Maker
    10. Azure OpenAI Service
    11. Hugging Face Transformers (https://github.com/huggingface/transformers)
    12. LangChain (https://github.com/langchain-ai/langchain)
    13. LlamaIndex (https://github.com/run-llama/llama_index)
    14. Whisper (https://github.com/openai/whisper)
    15. Facebook's Wav2Vec2 (https://github.com/facebookresearch/fairseq)
    16. GPT-3.5
    17. GPT-4
    18. Llama 2 (https://github.com/meta-llama/llama)
    19. Mistral (https://github.com/mistralai/mistral-src)
    20. Falcon
    21. Bark (https://github.com/suno-ai/bark)
    22. VALL-E (https://github.com/microsoft/VALLE)
    23. Tacotron 2 (https://github.com/NVIDIA/tacotron2)
    24. WaveGlow (https://github.com/NVIDIA/waveglow)
    25. Hifi-GAN (https://github.com/jik876/hifi-gan)
    26. OpenAI API
    27. Rasa (https://github.com/RasaHQ/rasa)
    28. Mozilla DeepSpeech (https://github.com/mozilla/DeepSpeech)

    AI recommended 28 alternatives but never named stepfun-ai/Step-Audio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI solution for advanced audio editing and manipulation capabilities.
    you: not recommended
    AI recommended (in order):
    1. Adobe Audition
    2. iZotope RX
    3. Acon Digital Acoustica Premium Edition
    4. Steinberg SpectraLayers Pro
    5. Hit'n'Mix RipX DeepRemix/DeepCreate
    6. LANDR Mastering Plugin
    7. Descript

    AI recommended 7 alternatives but never named stepfun-ai/Step-Audio. 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?
    pass
    AI named stepfun-ai/Step-Audio 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-Audio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-Audio 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 solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-Audio 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-Audio — 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