RRepoGEO

REPOGEO REPORT · LITE

catcathh/UltraPixel

Default branch main · commit e85d3bc9 · scanned 6/16/2026, 9:43:49 AM

GitHub: 616 stars · 28 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 catcathh/UltraPixel, 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
    Explicitly state UltraPixel is a generative AI system in the opening paragraph

    Why:

    CURRENT
    UltraPixel is designed to create exceptionally high-quality, detail-rich images at various resolutions, pushing the boundaries of ultra-high-resolution image synthesis.
    COPY-PASTE FIX
    UltraPixel is a cutting-edge generative AI system designed to create exceptionally high-quality, detail-rich images at various resolutions, pushing the boundaries of ultra-high-resolution image synthesis.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    generative-ai, image-synthesis, ultra-high-resolution, diffusion-models, neurips-2024, pytorch, deep-learning
  • mediumhomepage#3
    Add the project homepage to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://jingjingrenabc.github.io/ultrapixel/

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 catcathh/UltraPixel
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 2×
  2. Stable Diffusion XL · recommended 1×
  3. DALL-E 3 · recommended 1×
  4. lllyasviel/Fooocus · recommended 1×
  5. comfyanonymous/ComfyUI · recommended 1×
  • CATEGORY QUERY
    How to synthesize extremely high-resolution images with rich detail?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL
    2. Midjourney
    3. DALL-E 3
    4. Fooocus (lllyasviel/Fooocus)
    5. ComfyUI (comfyanonymous/ComfyUI)
    6. Automatic1111 Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    7. Adobe Firefly

    AI recommended 7 alternatives but never named catcathh/UltraPixel. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best methods for generating ultra-high-resolution images efficiently?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. SDXL (Stable Diffusion XL)
    3. ControlNet Tile/Upscale
    4. Upscayl
    5. Real-ESRGAN
    6. Topaz Gigapixel AI
    7. Midjourney
    8. Fooocus

    AI recommended 8 alternatives but never named catcathh/UltraPixel. 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 catcathh/UltraPixel?
    pass
    AI named catcathh/UltraPixel explicitly

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

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

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

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catcathh/UltraPixel — 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