RRepoGEO

REPOGEO REPORT · LITE

miaoshouai/ComfyUI-Miaoshouai-Tagger

Default branch main · commit bb92078e · scanned 6/9/2026, 8:54:49 PM

GitHub: 526 stars · 38 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
17 /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
1 / 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 miaoshouai/ComfyUI-Miaoshouai-Tagger, 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 repository description

    Why:

    COPY-PASTE FIX
    An advanced image captioning and tagging tool for ComfyUI, fine-tuned on Microsoft Florence-2 for highly accurate, contextually relevant results.
  • hightopics#2
    Add relevant topics for better categorization

    Why:

    COPY-PASTE FIX
    comfyui, image-tagging, image-captioning, florence-2, generative-ai, stable-diffusion, ai-art, prompt-generation
  • mediumreadme#3
    Strengthen the README's opening value proposition

    Why:

    CURRENT
    MiaoshouAI Tagger for ComfyUI is an advanced image captioning tool based on the Microsoft Florence-2 Model Fine-tuned to perfection. This tool offers highly accurate and contextually relevant image tagging for your projects.
    COPY-PASTE FIX
    MiaoshouAI Tagger for ComfyUI is an advanced image captioning and prompt generation tool, uniquely fine-tuned on Microsoft Florence-2 for highly accurate, contextually relevant image tagging. It surpasses traditional taggers like WD14 by aligning results with typical generative AI prompts and offers multi-language support for broader accessibility.

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 miaoshouai/ComfyUI-Miaoshouai-Tagger
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP Interrogator
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP Interrogator · recommended 1×
  2. DeepBooru · recommended 1×
  3. BLIP · recommended 1×
  4. LLaVA · recommended 1×
  5. OWL-ViT · recommended 1×
  • CATEGORY QUERY
    How can I accurately generate descriptive tags for images within ComfyUI workflows?
    you: not recommended
    AI recommended (in order):
    1. CLIP Interrogator
    2. DeepBooru
    3. BLIP
    4. LLaVA
    5. OWL-ViT

    AI recommended 5 alternatives but never named miaoshouai/ComfyUI-Miaoshouai-Tagger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a highly accurate image captioning tool for advanced generative AI workflows.
    you: not recommended
    AI recommended (in order):
    1. Salesforce BLIP-2
    2. Hugging Face Transformers
    3. Google PaLI/PaLI-X
    4. OpenAI CLIP
    5. Meta ImageBind

    AI recommended 5 alternatives but never named miaoshouai/ComfyUI-Miaoshouai-Tagger. 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 miaoshouai/ComfyUI-Miaoshouai-Tagger?
    pass
    AI did not name miaoshouai/ComfyUI-Miaoshouai-Tagger — 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 miaoshouai/ComfyUI-Miaoshouai-Tagger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named miaoshouai/ComfyUI-Miaoshouai-Tagger 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 miaoshouai/ComfyUI-Miaoshouai-Tagger solve, and who is the primary audience?
    pass
    AI did not name miaoshouai/ComfyUI-Miaoshouai-Tagger — 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

Drop this badge into the README of miaoshouai/ComfyUI-Miaoshouai-Tagger. 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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miaoshouai/ComfyUI-Miaoshouai-Tagger — 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