RRepoGEO

REPOGEO REPORT · LITE

ysharma3501/LavaSR

Default branch main · commit 33ac0408 · scanned 6/11/2026, 12:08:03 AM

GitHub: 549 stars · 48 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
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/LavaSR, 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
  • highreadme#1
    Clarify README H1 to emphasize speech/audio domain

    Why:

    CURRENT
    # 🌋 LavaSR
    COPY-PASTE FIX
    # 🌋 LavaSR: Fast Speech Enhancement and Audio Restoration
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/YatharthS/LavaSR

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/LavaSR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Audition
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Audition · recommended 1×
  2. iZotope RX · recommended 1×
  3. Acon Digital Acoustica · recommended 1×
  4. Audacity · recommended 1×
  5. DaVinci Resolve (Fairlight) · recommended 1×
  • CATEGORY QUERY
    Need a fast and efficient tool to enhance low-quality audio into clean speech.
    you: not recommended
    AI recommended (in order):
    1. Adobe Audition
    2. iZotope RX
    3. Acon Digital Acoustica
    4. Audacity
    5. DaVinci Resolve (Fairlight)
    6. Descript

    AI recommended 6 alternatives but never named ysharma3501/LavaSR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight speech enhancement model that outperforms diffusion models in speed and quality.
    you: not recommended
    AI recommended (in order):
    1. DPRNN-TasNet
    2. Conv-TasNet
    3. SEGAN
    4. MetricGAN+
    5. Demucs
    6. DeepFilterNet
    7. Wavenet

    AI recommended 7 alternatives but never named ysharma3501/LavaSR. 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/LavaSR?
    pass
    AI named ysharma3501/LavaSR 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/LavaSR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ysharma3501/LavaSR 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/LavaSR solve, and who is the primary audience?
    pass
    AI named ysharma3501/LavaSR 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 ysharma3501/LavaSR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ysharma3501/LavaSR.svg)](https://repogeo.com/en/r/ysharma3501/LavaSR)
HTML
<a href="https://repogeo.com/en/r/ysharma3501/LavaSR"><img src="https://repogeo.com/badge/ysharma3501/LavaSR.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ysharma3501/LavaSR — 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