RRepoGEO

REPOGEO REPORT · LITE

ximinng/HiVG

Default branch main · commit 2ada95d0 · scanned 6/8/2026, 1:17:49 PM

GitHub: 698 stars · 13 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ximinng/HiVG, 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 statement to clarify AI model for image-to-SVG

    Why:

    CURRENT
    This repository contains the official implementation of the paper 'Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling'.
    COPY-PASTE FIX
    HiVG is an advanced AI model for Hierarchical SVG Tokenization, designed to convert raster images into clean, editable, and high-fidelity SVG vector graphics. It learns compact visual programs to generate scalable vector graphics, outperforming traditional methods and even larger proprietary models.
  • mediumabout#2
    Refine 'About' description to emphasize AI model for image-to-SVG

    Why:

    CURRENT
    Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling
    COPY-PASTE FIX
    HiVG: An AI model for Hierarchical SVG Tokenization, learning compact visual programs to convert raster images into high-fidelity, editable SVG vector graphics.
  • mediumreadme#3
    Add explicit differentiation from traditional vectorization tools in README

    Why:

    COPY-PASTE FIX
    (Add this after the repositioned opening statement) Unlike traditional vectorization software or manual design tools, HiVG leverages advanced AI to automatically generate structured, editable SVGs directly from raster images, offering unparalleled fidelity and efficiency.

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 ximinng/HiVG
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Illustrator
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Illustrator · recommended 1×
  2. Inkscape · recommended 1×
  3. Vectornator · recommended 1×
  4. Vector Magic · recommended 1×
  5. Affinity Designer · recommended 1×
  • CATEGORY QUERY
    How can I convert raster images into clean, editable, high-fidelity SVG vector graphics?
    you: not recommended
    AI recommended (in order):
    1. Adobe Illustrator
    2. Inkscape
    3. Vectornator
    4. Vector Magic
    5. Affinity Designer
    6. CorelDRAW

    AI recommended 6 alternatives but never named ximinng/HiVG. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI model for efficient SVG generation and compact visual program representation.
    you: not recommended
    AI recommended (in order):
    1. DeepSVG
    2. SketchRNN
    3. Pix2Seq
    4. Potrace
    5. AutoTrace

    AI recommended 5 alternatives but never named ximinng/HiVG. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ximinng/HiVG?
    pass
    AI named ximinng/HiVG explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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ximinng/HiVG — 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