RRepoGEO

REPOGEO REPORT · LITE

astramind-ai/Auralis

Default branch main · commit e54a8de5 · scanned 6/14/2026, 12:52:06 AM

GitHub: 623 stars · 50 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 astramind-ai/Auralis, 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
    Reposition README H1 to clearly state core function

    Why:

    CURRENT
    # Auralis 🌌 (/auˈralis/)
    COPY-PASTE FIX
    # Auralis 🌌 (/auˈralis/) - A Fast Text-to-Speech (TTS) Engine with Voice Cloning
  • mediumtopics#2
    Add `voice-cloning` to repository topics

    Why:

    CURRENT
    tts, tts-serving, xttsv2
    COPY-PASTE FIX
    tts, tts-serving, xttsv2, voice-cloning
  • mediumreadme#3
    Add a section clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License
    
    Auralis is distributed under [describe your specific license(s) here, e.g., "a custom license combining elements of X and Y" or "the terms outlined in the LICENSE file"]. Please refer to the [LICENSE file](LICENSE) for full details.

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 astramind-ai/Auralis
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 1×
  3. Amazon Polly · recommended 1×
  4. Microsoft Azure Text-to-Speech · recommended 1×
  5. Resemble.ai · recommended 1×
  • CATEGORY QUERY
    Need a fast text-to-speech solution for generating audio from very long documents efficiently.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. Amazon Polly
    3. Microsoft Azure Text-to-Speech
    4. ElevenLabs
    5. Resemble.ai
    6. Play.ht

    AI recommended 6 alternatives but never named astramind-ai/Auralis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a voice cloning library that works well with suboptimal reference audio inputs.
    you: not recommended
    AI recommended (in order):
    1. MyShell's OpenVoice (myshell-ai/OpenVoice)
    2. Coqui TTS (coqui-ai/TTS)
    3. Resemble AI
    4. ElevenLabs
    5. Meta's Voicebox
    6. SV2TTS (CorentinJ/Real-Time-Voice-Cloning)

    AI recommended 6 alternatives but never named astramind-ai/Auralis. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 astramind-ai/Auralis?
    pass
    AI named astramind-ai/Auralis explicitly

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

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

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

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astramind-ai/Auralis — 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