RRepoGEO

REPOGEO REPORT · LITE

EvilBT/ComfyUI_SLK_joy_caption_two

Default branch main · commit a61f9a91 · scanned 6/13/2026, 7:48:04 AM

GitHub: 727 stars · 41 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 EvilBT/ComfyUI_SLK_joy_caption_two, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ComfyUI, image-captioning, ai-training, batch-processing, generative-ai, machine-learning, stable-diffusion
  • mediumabout#2
    Expand the repository description

    Why:

    CURRENT
    ComfyUI Node
    COPY-PASTE FIX
    Advanced ComfyUI node for image captioning, batch processing, and customizing captions for AI model training datasets.

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 EvilBT/ComfyUI_SLK_joy_caption_two
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
xenova/transformers.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. xenova/transformers.js · recommended 1×
  2. Google Cloud Vision API · recommended 1×
  3. AWS Rekognition · recommended 1×
  4. Microsoft Azure Cognitive Services (Vision API) · recommended 1×
  5. Replicate API · recommended 1×
  • CATEGORY QUERY
    What are good options for adding image captioning to a node-based AI interface?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers.js (xenova/transformers.js)
    2. Google Cloud Vision API
    3. AWS Rekognition
    4. Microsoft Azure Cognitive Services (Vision API)
    5. Replicate API
    6. OpenAI GPT-4V (Vision)

    AI recommended 6 alternatives but never named EvilBT/ComfyUI_SLK_joy_caption_two. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to batch process image descriptions and customize captions for model training?
    you: not recommended
    AI recommended (in order):
    1. BLIP / BLIP-2 (salesforce/BLIP)
    2. Hugging Face Transformers library (huggingface/transformers)
    3. OpenAI CLIP (openai/CLIP)
    4. GPT-3/GPT-4
    5. GIT (microsoft/GIT)
    6. CoCa
    7. DeepMind's Flamingo
    8. Microsoft Azure AI Vision
    9. Google Cloud Vision AI
    10. ViT (google-research/vision_transformer)
    11. GPT-2 (openai/gpt-2)
    12. T5 (google-research/text-to-text-transfer-transformer)

    AI recommended 12 alternatives but never named EvilBT/ComfyUI_SLK_joy_caption_two. 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 EvilBT/ComfyUI_SLK_joy_caption_two?
    pass
    AI named EvilBT/ComfyUI_SLK_joy_caption_two explicitly

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

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