RRepoGEO

REPOGEO REPORT · LITE

ttengwang/Caption-Anything

Default branch main · commit 32e58ada · scanned 5/15/2026, 9:53:13 PM

GitHub: 1,774 stars · 104 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 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 opening to emphasize interactive application

    Why:

    CURRENT
    Caption-Anythingis a versatile image processing tool that combines the capabilities of Segment Anything, Visual Captioning, and ChatGPT.
    COPY-PASTE FIX
    Caption-Anything is an interactive, end-to-end application that integrates Segment Anything, Visual Captioning, and ChatGPT to provide users with tailored, controllable image captions for any object.
  • mediumhomepage#2
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/TencentARC/Caption-Anything
  • lowreadme#3
    Add a sentence highlighting unique integration and control

    Why:

    COPY-PASTE FIX
    Unlike general captioning models or standalone segmentation tools, Caption-Anything uniquely integrates precise object segmentation with advanced visual captioning and conversational AI, enabling highly granular and stylistically controlled descriptions for specific image regions.

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-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4o · recommended 1×
  2. Google Gemini · recommended 1×
  3. Microsoft Azure AI Vision · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Salesforce BLIP-2 · recommended 1×
  • CATEGORY QUERY
    How to generate descriptive image captions with specific style, sentiment, and length controls?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4o
    2. Google Gemini
    3. Microsoft Azure AI Vision
    4. Hugging Face Transformers
    5. Salesforce BLIP-2
    6. DeepMind Flamingo

    AI recommended 6 alternatives but never named ttengwang/Caption-Anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to segment objects in images and get detailed, interactive descriptions for them.
    you: not recommended
    AI recommended (in order):
    1. Segment Anything Model (SAM) (facebookresearch/segment-anything)
    2. Grounding DINO (IDEA-Research/GroundingDINO)
    3. OpenCV (opencv/opencv)
    4. Mask R-CNN
    5. YOLO (You Only Look Once) with Segmentation (ultralytics/ultralytics)
    6. Label Studio (heartexlabs/label-studio)
    7. Roboflow

    AI recommended 7 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 did not name ttengwang/Caption-Anything — 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 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)
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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