RRepoGEO

REPOGEO REPORT · LITE

n00mkrad/cupscale

Default branch master · commit 35d418c5 · scanned 5/28/2026, 6:02:20 PM

GitHub: 2,337 stars · 143 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 n00mkrad/cupscale, 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
    Strengthen the README's opening sentence to emphasize user-friendly desktop GUI

    Why:

    CURRENT
    Image Upscaling GUI based on ESRGAN
    COPY-PASTE FIX
    Cupscale is a user-friendly desktop GUI for advanced AI image upscaling, based on ESRGAN.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/n00mkrad/cupscale

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 n00mkrad/cupscale
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
upscayl/upscayl
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. upscayl/upscayl · recommended 2×
  2. Topaz Photo AI · recommended 1×
  3. Gigapixel AI · recommended 1×
  4. ON1 Resize AI · recommended 1×
  5. Adobe Photoshop · recommended 1×
  • CATEGORY QUERY
    What's a good desktop application for AI-powered image resolution enhancement?
    you: not recommended
    AI recommended (in order):
    1. Topaz Photo AI
    2. Gigapixel AI
    3. Upscayl (upscayl/upscayl)
    4. ON1 Resize AI
    5. Adobe Photoshop
    6. Waifu2x-caffe (lltcggie/waifu2x-caffe)

    AI recommended 6 alternatives but never named n00mkrad/cupscale. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I batch upscale images using different AI models on my GPU?
    you: not recommended
    AI recommended (in order):
    1. Upscayl (upscayl/upscayl)
    2. chaiNNer (chaiNNer-org/chaiNNer)
    3. Stable Diffusion Web UI (AUTOMATIC1111) (AUTOMATIC1111/stable-diffusion-webui)

    AI recommended 3 alternatives but never named n00mkrad/cupscale. 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 n00mkrad/cupscale?
    pass
    AI named n00mkrad/cupscale explicitly

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

  • If a team adopts n00mkrad/cupscale in production, what risks or prerequisites should they evaluate first?
    pass
    AI named n00mkrad/cupscale 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 n00mkrad/cupscale solve, and who is the primary audience?
    pass
    AI named n00mkrad/cupscale 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 n00mkrad/cupscale. 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/n00mkrad/cupscale.svg)](https://repogeo.com/en/r/n00mkrad/cupscale)
HTML
<a href="https://repogeo.com/en/r/n00mkrad/cupscale"><img src="https://repogeo.com/badge/n00mkrad/cupscale.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

n00mkrad/cupscale — 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