RRepoGEO

REPOGEO REPORT · LITE

Acly/krita-vision-tools

Default branch main · commit f3f702fd · scanned 6/4/2026, 3:31:52 AM

GitHub: 907 stars · 31 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Acly/krita-vision-tools, 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 opening to clarify focus on AI selection/masking for Krita

    Why:

    CURRENT
    # Krita Vision Tools
    
    [Installation](#installation) | Release Download | [Building](#building)
    
    Plugin for Krita which adds various tools and filters based on machine learning:
    COPY-PASTE FIX
    # Krita Vision Tools
    
    [Installation](#installation) | Release Download | [Building](#building)
    
    Krita plugin that adds AI-powered vision tools for precise object selection, masking, and background removal directly within Krita.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    krita, krita-plugin, machine-learning, ai, image-editing, image-masking, object-selection, background-removal, computer-vision
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/Acly/krita-vision-tools/releases

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 Acly/krita-vision-tools
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 2×
  2. GIMP · recommended 2×
  3. G'MIC-Qt · recommended 2×
  4. Remove.bg · recommended 2×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    How can I use machine learning to quickly select and mask objects in Krita?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Adobe Photoshop
    3. GIMP
    4. G'MIC-Qt
    5. OpenCV
    6. Remove.bg
    7. Slazzer
    8. PhotoRoom

    AI recommended 8 alternatives but never named Acly/krita-vision-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Krita extension that provides AI-driven background removal and smart object filling.
    you: not recommended
    AI recommended (in order):
    1. Remove.bg
    2. ClipDrop
    3. Adobe Photoshop
    4. GIMP
    5. G'MIC-Qt
    6. Stable Diffusion
    7. InvokeAI
    8. Automatic1111

    AI recommended 8 alternatives but never named Acly/krita-vision-tools. 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 Acly/krita-vision-tools?
    pass
    AI did not name Acly/krita-vision-tools — likely talking about a different project

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

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

Subscribe to Pro for deep diagnoses

Acly/krita-vision-tools — 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