RRepoGEO

REPOGEO REPORT · LITE

Achno/gowall

Default branch main · commit 96345aaa · scanned 6/22/2026, 7:22:07 AM

GitHub: 2,258 stars · 37 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
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 Achno/gowall, 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 the README H1 and opening paragraph to clarify project purpose

    Why:

    CURRENT
    # Overview :framed_picture:
    
    Gowall started as a tool to convert an image ( specifically a wallpaper ) to any color-scheme / palette you like! It has now evolved to a swiss army knife of image prosessing offering (OCR,Image upsacling,image compression and a lot more)
    COPY-PASTE FIX
    # Gowall: Your CLI Swiss Army Knife for Image Processing
    
    Gowall is a versatile command-line interface (CLI) tool for advanced image processing. It specializes in converting wallpaper color schemes, performing OCR with Visual Language Models (VLMs), AI image upscaling, and efficient image compression, offering a comprehensive suite of features for image manipulation.
  • mediumabout#2
    Refine the repository's 'About' description for conciseness

    Why:

    CURRENT
    A tool to convert a Wallpaper's color scheme / palette, OCR with VLM's Traditional & Hybrid, Image Compression ,color palette extraction, image upsacling with Adversarial Networks and more image processing features.
    COPY-PASTE FIX
    Gowall is a versatile CLI tool for advanced image processing, specializing in wallpaper color scheme conversion, OCR with VLMs, AI image upscaling, and compression.
  • lowreadme#3
    Add a 'Why Gowall?' comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Gowall? (Comparison with other tools)
    
    While tools like ImageMagick and OpenCV offer powerful image manipulation, Gowall stands out as a dedicated command-line interface (CLI) designed for a comprehensive, integrated workflow. It uniquely combines features like wallpaper-specific color scheme conversion, advanced OCR (including VLMs), and AI upscaling into a single, user-friendly tool, making it ideal for automated scripts and desktop customization.

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 Achno/gowall
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ImageMagick
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ImageMagick · recommended 2×
  2. Pillow · recommended 1×
  3. OpenCV · recommended 1×
  4. GraphicsMagick · recommended 1×
  5. Wand · recommended 1×
  • CATEGORY QUERY
    How can I programmatically change an image's color scheme and upscale its resolution?
    you: not recommended
    AI recommended (in order):
    1. Pillow
    2. OpenCV
    3. ImageMagick
    4. GraphicsMagick
    5. Wand
    6. MiniMagick
    7. Magick.NET
    8. scikit-image
    9. TensorFlow
    10. PyTorch
    11. ESRGAN
    12. Real-ESRGAN
    13. SwinIR
    14. Sharp
    15. libvips
    16. Core Image

    AI recommended 16 alternatives but never named Achno/gowall. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What command-line tools are available for extracting text from images and compressing them?
    you: not recommended
    AI recommended (in order):
    1. Tesseract OCR
    2. ImageMagick
    3. Poppler Utilities
    4. pdftotext
    5. pdfimages
    6. Ghostscript
    7. GIMP
    8. gimp-console
    9. Python-fu
    10. FFmpeg
    11. cjpeg/djpeg
    12. libjpeg-turbo
    13. pngquant

    AI recommended 13 alternatives but never named Achno/gowall. 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 Achno/gowall?
    pass
    AI named Achno/gowall explicitly

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

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

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

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Achno/gowall — 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