RRepoGEO

REPOGEO REPORT · LITE

stavsap/comfyui-ollama

Default branch main · commit 6db75605 · scanned 6/12/2026, 3:03:17 PM

GitHub: 833 stars · 78 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 stavsap/comfyui-ollama, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Custom ComfyUI nodes for seamless integration with Ollama, enabling local LLM inference directly within your visual workflows.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    comfyui, ollama, llm, large-language-models, generative-ai, custom-nodes, workflow, ai-inference
  • mediumreadme#3
    Strengthen the README's opening sentence

    Why:

    CURRENT
    Custom ComfyUI Nodes for interacting with Ollama using the ollama python client.
    COPY-PASTE FIX
    Seamlessly integrate local Large Language Models (LLMs) powered by Ollama directly into your ComfyUI workflows with these custom nodes.

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 stavsap/comfyui-ollama
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. React Flow · recommended 1×
  3. Vue Flow · recommended 1×
  4. Svelte Flow · recommended 1×
  5. CTransformers · recommended 1×
  • CATEGORY QUERY
    How can I integrate local large language models into a visual node-based workflow editor?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. React Flow
    3. Vue Flow
    4. Svelte Flow
    5. CTransformers
    6. LlamaCpp
    7. Ollama
    8. FastAPI
    9. Node.js
    10. Express
    11. LlamaIndex
    12. FlowiseAI
    13. HuggingFaceInference
    14. ComfyUI
    15. transformers
    16. llama-cpp-python
    17. N8n
    18. llama.cpp

    AI recommended 18 alternatives but never named stavsap/comfyui-ollama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools support experimenting with LLM inference through a modular, flow-based interface?
    you: not recommended
    AI recommended (in order):
    1. LangChain Expression Language (LCEL)
    2. LangSmith
    3. Prompt flow (Azure AI Studio)
    4. Dust.tt
    5. LlamaIndex (Query Pipelines)
    6. Gradio
    7. Node-RED

    AI recommended 7 alternatives but never named stavsap/comfyui-ollama. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 stavsap/comfyui-ollama?
    pass
    AI did not name stavsap/comfyui-ollama — 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 stavsap/comfyui-ollama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stavsap/comfyui-ollama 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 stavsap/comfyui-ollama solve, and who is the primary audience?
    pass
    AI named stavsap/comfyui-ollama explicitly

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

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stavsap/comfyui-ollama — 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