RRepoGEO

REPOGEO REPORT · LITE

ltdrdata/ComfyUI-Impact-Pack

Default branch Main · commit 429d0159 · scanned 5/15/2026, 11:12:50 AM

GitHub: 3,111 stars · 371 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 ltdrdata/ComfyUI-Impact-Pack, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    comfyui, stable-diffusion, image-enhancement, upscaling, object-detection, detailer, computer-vision, ai-art
  • highreadme#2
    Refine README's opening statement for clearer positioning

    Why:

    CURRENT
    Custom node pack for ComfyUI
This node pack helps to conveniently enhance images through Detector, Detailer, Upscaler, Pipe, and more.
    COPY-PASTE FIX
    ComfyUI-Impact-Pack is an advanced custom node pack for ComfyUI, providing comprehensive tools for image detailing, refinement, and precise control. It significantly enhances image quality through features like Detector, Detailer, Upscaler, Pipe, and support for advanced segmentation models like SAM.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [Link to project website, documentation, or a dedicated landing page]

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 ltdrdata/ComfyUI-Impact-Pack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ultimate SD Upscale
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ultimate SD Upscale · recommended 2×
  2. ControlNet · recommended 2×
  3. ComfyUI · recommended 1×
  4. Fooocus Upscale · recommended 1×
  5. 4x-UltraSharp · recommended 1×
  • CATEGORY QUERY
    How can I enhance image quality and add detail using custom nodes?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI
    2. Ultimate SD Upscale
    3. Fooocus Upscale
    4. 4x-UltraSharp
    5. 4x-AnimeSharp
    6. ControlNet
    7. ControlNet Tile
    8. ControlNet Detailer
    9. ControlNet Reference
    10. IP-Adapter
    11. FaceID
    12. Automatic1111 Stable Diffusion WebUI
    13. Ultimate SD Upscale
    14. ControlNet
    15. Latent
    16. ESRGAN
    17. SwinIR
    18. Adetailer
    19. Regional Prompter
    20. Photoshop
    21. Topaz Gigapixel AI
    22. Adobe Camera Raw
    23. Lightroom
    24. Generative Fill
    25. Adobe Firefly

    AI recommended 25 alternatives but never named ltdrdata/ComfyUI-Impact-Pack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for advanced image processing, including object detection and upscaling?
    you: not recommended
    AI recommended (in order):
    1. OpenCV (opencv/opencv)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. Keras (keras-team/keras)
    5. Pillow (python-pillow/Pillow)
    6. Scikit-image (scikit-image/scikit-image)
    7. Adobe Photoshop

    AI recommended 7 alternatives but never named ltdrdata/ComfyUI-Impact-Pack. 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 ltdrdata/ComfyUI-Impact-Pack?
    pass
    AI did not name ltdrdata/ComfyUI-Impact-Pack — 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 ltdrdata/ComfyUI-Impact-Pack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ltdrdata/ComfyUI-Impact-Pack 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 ltdrdata/ComfyUI-Impact-Pack solve, and who is the primary audience?
    pass
    AI named ltdrdata/ComfyUI-Impact-Pack explicitly

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

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ltdrdata/ComfyUI-Impact-Pack — 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