RRepoGEO

REPOGEO REPORT · LITE

Vaibhavs10/open-tts-tracker

Default branch main · commit 7b17ba22 · scanned 5/22/2026, 9:13:14 PM

GitHub: 1,150 stars · 68 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
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 Vaibhavs10/open-tts-tracker, 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
    A comprehensive, open-access tracker and curated list of open-source Text-to-Speech (TTS) models, designed for researchers, developers, and enthusiasts.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clearly state the terms under which the project can be used and contributed 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 Vaibhavs10/open-tts-tracker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub · recommended 2×
  2. Papers With Code · recommended 2×
  3. Hugging Face Models · recommended 1×
  4. Tacotron 2 · recommended 1×
  5. FastSpeech2 · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of open-source text-to-speech models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Models
    2. Tacotron 2
    3. FastSpeech2
    4. VITS
    5. Bark
    6. GitHub
    7. Mozilla TTS (Coqui TTS)
    8. ESPnet
    9. Awesome TTS GitHub Repository
    10. Coqui TTS
    11. Papers With Code
    12. Google Scholar
    13. ArXiv

    AI recommended 13 alternatives but never named Vaibhavs10/open-tts-tracker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to stay informed about new open-access text-to-speech model releases and features?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. Papers With Code
    3. GitHub
    4. arXiv
    5. Twitter
    6. Reddit
    7. Google AI Blog
    8. Meta AI Blog

    AI recommended 8 alternatives but never named Vaibhavs10/open-tts-tracker. 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 Vaibhavs10/open-tts-tracker?
    pass
    AI named Vaibhavs10/open-tts-tracker explicitly

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

  • If a team adopts Vaibhavs10/open-tts-tracker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Vaibhavs10/open-tts-tracker 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 Vaibhavs10/open-tts-tracker solve, and who is the primary audience?
    pass
    AI named Vaibhavs10/open-tts-tracker explicitly

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

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Vaibhavs10/open-tts-tracker — 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