RRepoGEO

REPOGEO REPORT · LITE

ysharma3501/NovaSR

Default branch main · commit 5e3cb794 · scanned 6/5/2026, 1:18:21 PM

GitHub: 773 stars · 73 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 ysharma3501/NovaSR, 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 prominent, explicit statement about audio at the very top of the README

    Why:

    COPY-PASTE FIX
    NovaSR is an **audio** super-resolution model for enhancing low-quality sound.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    audio-super-resolution, audio-upsampling, real-time-audio, deep-learning, tiny-ml, efficiency, machine-learning
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://huggingface.co/YatharthS/NovaSR

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 ysharma3501/NovaSR
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Auphonic
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Auphonic · recommended 1×
  2. Adobe Podcast Enhance · recommended 1×
  3. Audacity · recommended 1×
  4. ReaPlugs · recommended 1×
  5. FFmpeg · recommended 1×
  • CATEGORY QUERY
    How to quickly enhance low-quality audio to higher fidelity with minimal resource usage?
    you: not recommended
    AI recommended (in order):
    1. Auphonic
    2. Adobe Podcast Enhance
    3. Audacity
    4. ReaPlugs
    5. FFmpeg
    6. iZotope RX Elements
    7. Acon Digital Acoustica Standard Edition

    AI recommended 7 alternatives but never named ysharma3501/NovaSR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the most efficient tools for real-time audio super-resolution and clarity improvement?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. DeepMind's WaveNet/WaveRNN
    3. Google's Lyra
    4. Intel OpenVINO Toolkit
    5. RNNoise (xiph/rnnoise)
    6. TensorFlow Lite (tensorflow/tensorflow)
    7. PyTorch Mobile (pytorch/pytorch)
    8. SpeechBrain (speechbrain/speechbrain)

    AI recommended 8 alternatives but never named ysharma3501/NovaSR. 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 ysharma3501/NovaSR?
    pass
    AI named ysharma3501/NovaSR explicitly

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

  • If a team adopts ysharma3501/NovaSR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ysharma3501/NovaSR 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 ysharma3501/NovaSR solve, and who is the primary audience?
    pass
    AI named ysharma3501/NovaSR explicitly

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

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ysharma3501/NovaSR — 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