RRepoGEO

REPOGEO REPORT · LITE

camenduru/comfyui-colab

Default branch main · commit 864bc7cd · scanned 6/16/2026, 11:37:46 AM

GitHub: 547 stars · 59 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 camenduru/comfyui-colab, 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 purpose

    Why:

    CURRENT
    The README currently starts with social links and 'WIP' without a clear introductory statement.
    COPY-PASTE FIX
    This repository provides ready-to-use Google Colab templates for ComfyUI, offering pre-configured environments with popular custom nodes and models for stable diffusion image generation workflows, eliminating the need for local setup.
  • highhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/camenduru/comfyui-colab
  • mediumreadme#3
    Emphasize core differentiators in README

    Why:

    CURRENT
    The README describes different 'lite', 'stable', 'nightly' versions but doesn't explicitly highlight *why* this collection is better than setting up ComfyUI in Colab from scratch.
    COPY-PASTE FIX
    These Colab environments are regularly updated, pre-configured with essential extensions and models, and optimized for various use cases (stable, nightly, lite), making it exceptionally easy to get started with ComfyUI without extensive local setup or technical knowledge.

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 camenduru/comfyui-colab
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Colaboratory (Colab) Pro/Pro+
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Colaboratory (Colab) Pro/Pro+ · recommended 2×
  2. Paperspace Gradient · recommended 2×
  3. AWS SageMaker Studio Lab · recommended 2×
  4. Google Cloud Vertex AI Workbench · recommended 2×
  5. Kaggle Notebooks · recommended 1×
  • CATEGORY QUERY
    How can I run stable diffusion image generation workflows directly in a cloud notebook environment?
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab) Pro/Pro+
    2. Kaggle Notebooks
    3. Paperspace Gradient
    4. AWS SageMaker Studio Lab
    5. RunPod.io
    6. Google Cloud Vertex AI Workbench

    AI recommended 6 alternatives but never named camenduru/comfyui-colab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need ready-to-use cloud environments for rapid prototyping of AI image generation models.
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab) Pro/Pro+
    2. RunPod
    3. Paperspace Gradient
    4. AWS SageMaker Studio Lab
    5. Azure Machine Learning Compute Instances
    6. Google Cloud Vertex AI Workbench
    7. Lambda Labs Cloud

    AI recommended 7 alternatives but never named camenduru/comfyui-colab. 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 camenduru/comfyui-colab?
    pass
    AI did not name camenduru/comfyui-colab — 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 camenduru/comfyui-colab in production, what risks or prerequisites should they evaluate first?
    pass
    AI named camenduru/comfyui-colab 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 camenduru/comfyui-colab solve, and who is the primary audience?
    pass
    AI named camenduru/comfyui-colab 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 camenduru/comfyui-colab. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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camenduru/comfyui-colab — 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