RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Audio-EditX

Default branch main · commit a652e870 · scanned 6/3/2026, 2:18:04 PM

GitHub: 925 stars · 68 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-Audio-EditX, 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
    Add a clear introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Step-Audio-EditX is an open-source, 3B-parameter LLM-based Reinforcement Learning model for programmatic audio editing, excelling at emotion, speaking style, and paralinguistic control, with robust zero-shot text-to-speech capabilities.
  • mediumhomepage#2
    Add the project homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://stepaudiollm.github.io/step-audio-editx/
  • mediumreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

Unlike commercial audio editing services, Step-Audio-EditX provides an open-source, self-hostable LLM for full programmatic control over audio generation and editing, ideal for researchers and developers building custom AI audio applications. Our model offers:

*   **Open-Source & Self-Hostable:** Complete control over your data and deployment environment.
*   **Programmatic Control:** Designed for integration into custom workflows and applications.
*   **Advanced LLM-based Editing:** Fine-grained manipulation of emotion, speaking style, and paralinguistics.
*   **Robust Zero-Shot TTS:** Generate high-quality speech from text without prior training for new voices.

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-EditX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs · recommended 2×
  2. Google Cloud Text-to-Speech · recommended 2×
  3. Amazon Polly · recommended 2×
  4. Microsoft Azure AI Speech · recommended 2×
  5. OpenAI TTS · recommended 1×
  • CATEGORY QUERY
    How can I programmatically modify emotion and speaking style in generated audio?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Google Cloud Text-to-Speech
    3. Amazon Polly
    4. Microsoft Azure AI Speech
    5. OpenAI TTS
    6. Coqui TTS

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

    Show full AI answer
  • CATEGORY QUERY
    What tools allow fine-grained control over paralinguistics and zero-shot text-to-speech generation?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Descript
    3. Resemble AI
    4. Google Cloud Text-to-Speech
    5. Amazon Polly
    6. Microsoft Azure AI Speech

    AI recommended 6 alternatives but never named stepfun-ai/Step-Audio-EditX. 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-Audio-EditX?
    pass
    AI named stepfun-ai/Step-Audio-EditX 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-EditX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-Audio-EditX 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-EditX solve, and who is the primary audience?
    pass
    AI named stepfun-ai/Step-Audio-EditX explicitly

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

Embed your GEO score

Drop this badge into the README of stepfun-ai/Step-Audio-EditX. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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stepfun-ai/Step-Audio-EditX — 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