RRepoGEO

REPOGEO REPORT · LITE

runpod-workers/worker-comfyui

Default branch main · commit d2a55723 · scanned 6/12/2026, 3:32:35 PM

GitHub: 704 stars · 663 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 runpod-workers/worker-comfyui, 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 emphasize "pre-built solution"

    Why:

    CURRENT
    This project allows you to run ComfyUI workflows as a serverless API endpoint on the RunPod platform.
    COPY-PASTE FIX
    This project provides a pre-built, optimized solution for deploying ComfyUI workflows as a serverless API endpoint on the RunPod platform.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a link to the RunPod Hub page for this worker or relevant project documentation.
  • mediumreadme#3
    Add a "Key Features" section highlighting API-driven capabilities

    Why:

    COPY-PASTE FIX
    Add a "Key Features" section near the top of the README, including items like: "- Serverless API for ComfyUI workflows", "- Programmatic image generation and workflow execution", "- Optimized for RunPod cloud platform".

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 runpod-workers/worker-comfyui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunPod Serverless
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunPod Serverless · recommended 1×
  2. Replicate · recommended 1×
  3. AWS Lambda · recommended 1×
  4. AWS Fargate · recommended 1×
  5. AWS SageMaker Serverless Inference · recommended 1×
  • CATEGORY QUERY
    How to deploy stable diffusion image generation workflows as a serverless API endpoint?
    you: not recommended
    AI recommended (in order):
    1. RunPod Serverless
    2. Replicate
    3. AWS Lambda
    4. AWS Fargate
    5. AWS SageMaker Serverless Inference
    6. Google Cloud Run
    7. Modal Labs
    8. Azure Container Apps

    AI recommended 8 alternatives but never named runpod-workers/worker-comfyui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a way to programmatically trigger AI image synthesis and get results via API.
    you: not recommended
    AI recommended (in order):
    1. OpenAI DALL-E 3 API
    2. Midjourney API
    3. Stability AI Stable Diffusion API
    4. Google Cloud Vertex AI (Imagen)
    5. RunwayML Gen-1/Gen-2 API
    6. Leonardo.Ai API

    AI recommended 6 alternatives but never named runpod-workers/worker-comfyui. 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 runpod-workers/worker-comfyui?
    pass
    AI did not name runpod-workers/worker-comfyui — 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 runpod-workers/worker-comfyui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named runpod-workers/worker-comfyui 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 runpod-workers/worker-comfyui solve, and who is the primary audience?
    pass
    AI named runpod-workers/worker-comfyui explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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