RRepoGEO

REPOGEO REPORT · LITE

16131zzzzzzzz/EveryoneNobel

Default branch main · commit aeaddcab · scanned 6/28/2026, 10:53:18 PM

GitHub: 1,530 stars · 99 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 16131zzzzzzzz/EveryoneNobel, 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's opening paragraph to emphasize framework capabilities

    Why:

    CURRENT
    EveryoneNobel aims to generate **Nobel Prize images for everyone**. We utilizes ComfyUI for image generation and HTML templates to display text on the images. This project serves not only as a process for generating nobel images but also as **a potential universal framework**. This framework transforms the ComfyUI-generated visuals into final products, offering a structured approach for further applications and customization.
    COPY-PASTE FIX
    EveryoneNobel is a **flexible framework powered by ComfyUI** for transforming AI-generated visuals into complete, customized products. It enables programmatic addition of custom elements like text overlays using HTML templates, demonstrated effectively through personalized Nobel Prize images, but designed as a universal solution for diverse applications.
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    comfyui, imagegeneration
    COPY-PASTE FIX
    comfyui, imagegeneration, comfyui-workflow, text-overlay, visual-product-generation, html-templates, ai-image-customization
  • lowabout#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/16131zzzzzzzz/EveryoneNobel

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 16131zzzzzzzz/EveryoneNobel
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
python-pillow/Pillow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. python-pillow/Pillow · recommended 1×
  2. opencv/opencv · recommended 1×
  3. ImageMagick/ImageMagick · recommended 1×
  4. freedesktop/cairo · recommended 1×
  5. reportlab/reportlab · recommended 1×
  • CATEGORY QUERY
    How to programmatically add custom text overlays to AI-generated images?
    you: not recommended
    AI recommended (in order):
    1. Pillow (python-pillow/Pillow)
    2. OpenCV (opencv/opencv)
    3. ImageMagick (ImageMagick/ImageMagick)
    4. Cairo (freedesktop/cairo)
    5. ReportLab Toolkit (reportlab/reportlab)

    AI recommended 5 alternatives but never named 16131zzzzzzzz/EveryoneNobel. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework transforms ComfyUI outputs into complete visual products with custom elements?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Next.js
    4. FastAPI
    5. Vue.js
    6. Bubble

    AI recommended 6 alternatives but never named 16131zzzzzzzz/EveryoneNobel. 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 16131zzzzzzzz/EveryoneNobel?
    pass
    AI named 16131zzzzzzzz/EveryoneNobel explicitly

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

  • If a team adopts 16131zzzzzzzz/EveryoneNobel in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 16131zzzzzzzz/EveryoneNobel 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 16131zzzzzzzz/EveryoneNobel solve, and who is the primary audience?
    pass
    AI named 16131zzzzzzzz/EveryoneNobel explicitly

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

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16131zzzzzzzz/EveryoneNobel — 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