RRepoGEO

REPOGEO REPORT · LITE

ttengwang/Caption-Anything

Default branch main · commit 32e58ada · scanned 6/26/2026, 5:18:41 PM

GitHub: 1,774 stars · 104 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 ttengwang/Caption-Anything, 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 README's opening to emphasize interactive, controllable features

    Why:

    CURRENT
    Caption-Anythingis a versatile image processing tool that combines the capabilities of Segment Anything, Visual Captioning, and ChatGPT. Our solution generates descriptive captions for any object within an image, offering a range of language styles to accommodate diverse user preferences. It supports visual controls (mouse click) and language controls (length, sentiment, factuality, and language).
    COPY-PASTE FIX
    Caption-Anything is an interactive, versatile AI tool that combines image segmentation (Segment Anything), visual captioning, and ChatGPT to generate highly tailored and controllable captions for any object in an image. Users can precisely control caption length, sentiment, factuality, and language through intuitive visual (mouse click) and language controls, making it ideal for generating specific object descriptions.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/TencentARC/Caption-Anything
  • mediumtopics#3
    Add topics emphasizing interactive AI application

    Why:

    CURRENT
    chatgpt, controllable-generation, controllable-image-captioning, image-captioning, segment-anything
    COPY-PASTE FIX
    chatgpt, controllable-generation, controllable-image-captioning, image-captioning, segment-anything, interactive-ai-tool, ai-application

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 ttengwang/Caption-Anything
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4V (Vision)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4V (Vision) · recommended 1×
  2. Google Gemini (Pro Vision / Ultra) · recommended 1×
  3. Salesforce BLIP-2 / InstructBLIP · recommended 1×
  4. Microsoft COCO-trained Image Captioning Models · recommended 1×
  5. Hugging Face Transformers Library · recommended 1×
  • CATEGORY QUERY
    How to generate image captions with adjustable length, sentiment, and factual detail?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4V (Vision)
    2. Google Gemini (Pro Vision / Ultra)
    3. Salesforce BLIP-2 / InstructBLIP
    4. Microsoft COCO-trained Image Captioning Models
    5. Hugging Face Transformers Library

    AI recommended 5 alternatives but never named ttengwang/Caption-Anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools combine image segmentation with AI text generation for object descriptions?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. transformers library
    3. Google Cloud Vision AI
    4. Vertex AI
    5. Google AI Studio API
    6. Microsoft Azure AI Vision
    7. Azure OpenAI Service
    8. Azure Machine Learning
    9. OpenCV
    10. OpenAI API
    11. Segment Anything Model (SAM)
    12. LangChain

    AI recommended 12 alternatives but never named ttengwang/Caption-Anything. 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 ttengwang/Caption-Anything?
    pass
    AI named ttengwang/Caption-Anything explicitly

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

  • If a team adopts ttengwang/Caption-Anything in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ttengwang/Caption-Anything 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 ttengwang/Caption-Anything solve, and who is the primary audience?
    pass
    AI named ttengwang/Caption-Anything explicitly

    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 ttengwang/Caption-Anything. 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)
[![RepoGEO](https://repogeo.com/badge/ttengwang/Caption-Anything.svg)](https://repogeo.com/en/r/ttengwang/Caption-Anything)
HTML
<a href="https://repogeo.com/en/r/ttengwang/Caption-Anything"><img src="https://repogeo.com/badge/ttengwang/Caption-Anything.svg" alt="RepoGEO" /></a>
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ttengwang/Caption-Anything — 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