RRepoGEO

REPOGEO REPORT · LITE

heshengtao/comfyui_LLM_party

Default branch main · commit 4d279969 · scanned 5/22/2026, 8:36:24 AM

GitHub: 2,256 stars · 184 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
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 heshengtao/comfyui_LLM_party, 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 sentence to highlight ComfyUI integration

    Why:

    CURRENT
    Comfyui_llm_party aims to develop a complete set of nodes for LLM workflow construction based on comfyui as the front end. It allows users to quickly and conveniently build their own LLM workflows and easily integrate them into their existing image workflows.
    COPY-PASTE FIX
    ComfyUI LLM Party is a comprehensive set of custom nodes for ComfyUI, enabling users to visually build advanced LLM agent workflows and seamlessly integrate them with existing image generation pipelines.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://dcnsxxvm4zeq.feishu.cn/wiki/IyUowXNj9iH0vzk68cpcLnZXnYf
  • mediumtopics#3
    Add more descriptive topics related to visual programming and workflow

    Why:

    CURRENT
    agent, comfyui, dify, flux, gemini, gguf, gpt-sovits, graphrag, janus-pro, linux, llama, mcp, o1, ocr, ollama, omost, openai, vlm, workflow
    COPY-PASTE FIX
    agent, comfyui, visual-programming, llm-workflow, multi-agent, rag, graphrag, local-llm, vlm, custom-nodes, prompt-engineering, flux, gpt-sovits, chattts, ocr, ollama, gemini, llama, gguf, mcp, omost

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 heshengtao/comfyui_LLM_party
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. langchain-ai/langserve · recommended 1×
  3. LangSmith · recommended 1×
  4. Microsoft Copilot Studio · recommended 1×
  5. Google Cloud Dialogflow CX · recommended 1×
  • CATEGORY QUERY
    How to build custom LLM agent workflows using a visual programming interface?
    you: not recommended
    AI recommended (in order):
    1. LangChain Expression Language (LCEL) (langchain-ai/langchain)
    2. LangServe (langchain-ai/langserve)
    3. LangSmith
    4. Microsoft Copilot Studio
    5. Google Cloud Dialogflow CX
    6. Voiceflow
    7. FlowiseAI (FlowiseAI/Flowise)
    8. LlamaIndex (run-llama/llama_index)
    9. Streamlit (streamlit/streamlit)
    10. Gradio (gradio-app/gradio)

    AI recommended 10 alternatives but never named heshengtao/comfyui_LLM_party. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a framework to integrate diverse LLMs into existing image generation pipelines.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Hugging Face Transformers
    6. Microsoft Semantic Kernel

    AI recommended 6 alternatives but never named heshengtao/comfyui_LLM_party. 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 heshengtao/comfyui_LLM_party?
    pass
    AI named heshengtao/comfyui_LLM_party explicitly

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

  • If a team adopts heshengtao/comfyui_LLM_party in production, what risks or prerequisites should they evaluate first?
    pass
    AI named heshengtao/comfyui_LLM_party 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 heshengtao/comfyui_LLM_party solve, and who is the primary audience?
    pass
    AI did not name heshengtao/comfyui_LLM_party — 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?

Embed your GEO score

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MARKDOWN (README)
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heshengtao/comfyui_LLM_party — 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