RRepoGEO

REPOGEO REPORT · LITE

JarodMica/audiobook_maker

Default branch master · commit 5790f7ee · scanned 6/4/2026, 5:16:53 PM

GitHub: 562 stars · 101 forks

AI VISIBILITY SCORE
23 /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
2 / 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 JarodMica/audiobook_maker, 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 About description

    Why:

    COPY-PASTE FIX
    A desktop application for Windows (and Linux via PySide6) that leverages open-source deep learning text-to-speech and speech-to-speech models to create high-quality, multi-speaker audiobooks with a user-friendly GUI.
  • highreadme#2
    Reposition README opening to clarify it's a GUI application

    Why:

    CURRENT
    # Audiobook Maker v3
This application utilizes open-source deep-learning text-to-speech and speech-to-speech models to create audiobooks.  The main goal of the project is to be able to seamlessly create high-quality audiobooks by using these advancements in machine learning/AI.

It's designed for **Windows,** but pyside6 should be able to run on linux.
    COPY-PASTE FIX
    # Audiobook Maker v3: A Desktop Application for AI Audiobook Generation
This desktop application utilizes open-source deep-learning text-to-speech (TTS) and speech-to-speech (STS) models to create high-quality, multi-speaker audiobooks. Designed with a user-friendly graphical interface (GUI), it aims to seamlessly leverage advancements in machine learning/AI for audiobook production. It's primarily built for **Windows,** with PySide6 enabling compatibility on Linux.

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 JarodMica/audiobook_maker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mozilla TTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mozilla TTS · recommended 1×
  2. Coqui TTS · recommended 1×
  3. ESPnet · recommended 1×
  4. Tacotron 2 · recommended 1×
  5. WaveNet · recommended 1×
  • CATEGORY QUERY
    How to create high-quality audiobooks using open-source deep learning text-to-speech?
    you: not recommended
    AI recommended (in order):
    1. Mozilla TTS
    2. Coqui TTS
    3. ESPnet
    4. Tacotron 2
    5. WaveNet
    6. WaveGlow
    7. HiFi-GAN
    8. PyTorch
    9. TensorFlow
    10. Audacity
    11. Adobe Audition
    12. DaVinci Resolve

    AI recommended 12 alternatives but never named JarodMica/audiobook_maker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can generate multi-speaker AI voices for audiobook narration?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs
    2. Descript
    3. WellSaid Labs
    4. Murf.ai
    5. Play.ht
    6. Resemble AI

    AI recommended 6 alternatives but never named JarodMica/audiobook_maker. 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 JarodMica/audiobook_maker?
    pass
    AI did not name JarodMica/audiobook_maker — likely talking about a different project

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

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