RRepoGEO

REPOGEO REPORT · LITE

Audio-AGI/WavJourney

Default branch main · commit ce84bb75 · scanned 6/12/2026, 4:37:52 AM

GitHub: 542 stars · 45 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 Audio-AGI/WavJourney, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    audio-generation, llm, text-to-audio, compositional-ai, speech-synthesis, music-generation, sound-effects, generative-ai, multimodal-ai
  • highreadme#2
    Strengthen README's opening sentence for AI categorization

    Why:

    CURRENT
    This repository contains the official implementation of "WavJourney: Compositional Audio Creation with Large Language Models". Starting with a text prompt, WavJourney can create audio content with engaging storylines encompassing personalized speakers, lifelike speech in context, emotionally resonant music compositions, and impactful sound effects that enhance the auditory experience.
    COPY-PASTE FIX
    WavJourney is an open-source framework for **compositional audio creation from text prompts using Large Language Models (LLMs)**, designed for AI researchers and developers. It generates comprehensive audio experiences encompassing personalized speech, emotionally resonant music, and impactful sound effects to enhance auditory storytelling.
  • mediumreadme#3
    Clarify the repository's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project's licensing terms are detailed in the `LICENSE` file. Please review it for full terms and conditions.

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 Audio-AGI/WavJourney
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. Descript · recommended 2×
  3. Meta AudioCraft · recommended 1×
  4. Google AudioLM / SoundStorm · recommended 1×
  5. Riffusion · recommended 1×
  • CATEGORY QUERY
    How can I generate comprehensive audio experiences from text prompts using large language models?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Meta AudioCraft
    3. Google AudioLM / SoundStorm
    4. Riffusion
    5. Hugging Face Transformers
    6. OpenAI Jukebox
    7. Descript

    AI recommended 7 alternatives but never named Audio-AGI/WavJourney. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create narrative audio with speech, music, and sound effects from text?
    you: not recommended
    AI recommended (in order):
    1. Descript
    2. Adobe Audition
    3. Adobe Stock
    4. ElevenLabs
    5. Murf.ai
    6. Audacity
    7. PlayHT
    8. Freesound.org
    9. Epidemic Sound
    10. Artlist
    11. Reaper
    12. Synthesys AI Studio

    AI recommended 12 alternatives but never named Audio-AGI/WavJourney. 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 Audio-AGI/WavJourney?
    pass
    AI named Audio-AGI/WavJourney explicitly

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

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