RRepoGEO

REPOGEO REPORT · LITE

jiayev/GPT4V-Image-Captioner

Default branch main · commit 4094b42f · scanned 6/7/2026, 10:52:58 PM

GitHub: 853 stars · 60 forks

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 jiayev/GPT4V-Image-Captioner, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A multifunctional image processing toolbox built with Gradio for tagging images using GPT-4V, Claude 3, CogVLM, Qwen-VL, and Moondream models.
  • mediumreadme#2
    Reorder README introduction for immediate clarity

    Why:

    CURRENT
    中文版说明

We now have sd-webui-GPT4V-Image-Captioner for SD WebUI,  
Remade application version by Godot, VLMCaption-TagCraft, is now compatible with most online APIs. 

This is a multifunctional image processing toolbox built with Gradio, capable of tagging images using the GPT-4-vision or Claude 3 API, the cogVLM model, Qwen-VL(Alibaba Cloud), the Moondream model.
    COPY-PASTE FIX
    This repository provides GPT4V-Image-Captioner, a multifunctional image processing toolbox built with Gradio. It enables efficient image tagging using advanced models like GPT-4-vision, Claude 3, CogVLM, Qwen-VL (Alibaba Cloud), and Moondream.

中文版说明

We also offer sd-webui-GPT4V-Image-Captioner for SD WebUI, and a remade application version by Godot, VLMCaption-TagCraft, which is compatible with most online APIs.

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 jiayev/GPT4V-Image-Captioner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Roboflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Roboflow · recommended 2×
  2. Google Cloud Vision AI · recommended 1×
  3. Amazon Rekognition · recommended 1×
  4. Microsoft Azure Computer Vision · recommended 1×
  5. Clarifai · recommended 1×
  • CATEGORY QUERY
    How can I efficiently generate descriptive AI tags for a large collection of images?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Rekognition
    3. Microsoft Azure Computer Vision
    4. Clarifai
    5. OpenAI CLIP
    6. Hugging Face transformers
    7. Imgix
    8. Roboflow

    AI recommended 8 alternatives but never named jiayev/GPT4V-Image-Captioner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for annotating images using various online and local vision models?
    you: not recommended
    AI recommended (in order):
    1. Label Studio (heartexlabs/label-studio)
    2. CVAT (opencv/cvat)
    3. SuperAnnotate
    4. VGG Image Annotator (VIA) (sgothel/vgg_image_annotator)
    5. Roboflow
    6. Amazon SageMaker Ground Truth
    7. Google Cloud AI Platform Data Labeling

    AI recommended 7 alternatives but never named jiayev/GPT4V-Image-Captioner. 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 jiayev/GPT4V-Image-Captioner?
    pass
    AI did not name jiayev/GPT4V-Image-Captioner — 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 jiayev/GPT4V-Image-Captioner in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jiayev/GPT4V-Image-Captioner 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 jiayev/GPT4V-Image-Captioner solve, and who is the primary audience?
    pass
    AI did not name jiayev/GPT4V-Image-Captioner — 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 jiayev/GPT4V-Image-Captioner. 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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jiayev/GPT4V-Image-Captioner — 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