RRepoGEO

REPOGEO REPORT · LITE

tryonlabs/opentryon

Default branch main · commit 1348e752 · scanned 6/14/2026, 1:21:19 PM

GitHub: 503 stars · 61 forks

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 tryonlabs/opentryon, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage terms.
  • highreadme#2
    Reposition the README's opening paragraph to differentiate from proprietary solutions

    Why:

    CURRENT
    OpenTryOn is an open-source AI toolkit designed for fashion technology and virtual try-on applications. This project provides a comprehensive suite of tools for garment segmentation, human parsing, pose estimation, and virtual try-on using state-of-the-art diffusion models.
    COPY-PASTE FIX
    OpenTryOn is the leading open-source AI toolkit for developers building virtual try-on and fashion AI applications. Unlike proprietary SaaS solutions, OpenTryOn provides a comprehensive, modular suite of APIs, SDKs, and models for garment segmentation, human parsing, pose estimation, and state-of-the-art diffusion-based virtual try-on, giving you full control and flexibility.
  • mediumabout#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://tryonlabs.github.io/opentryon/` in the GitHub repository settings.

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 tryonlabs/opentryon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
3DLOOK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. 3DLOOK · recommended 1×
  2. PICTOFiT · recommended 1×
  3. Zeekit · recommended 1×
  4. Virtooal · recommended 1×
  5. Style.me · recommended 1×
  • CATEGORY QUERY
    How can I integrate virtual try-on capabilities into my e-commerce fashion application?
    you: not recommended
    AI recommended (in order):
    1. 3DLOOK
    2. PICTOFiT
    3. Zeekit
    4. Virtooal
    5. Style.me
    6. Fit Analytics
    7. Apple ARKit
    8. Google ARCore

    AI recommended 8 alternatives but never named tryonlabs/opentryon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools are available for generating realistic fashion images and editing garments?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. DeepFashion3D
    4. StyleGAN
    5. OpenPose
    6. Pix2PixHD

    AI recommended 6 alternatives but never named tryonlabs/opentryon. 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 tryonlabs/opentryon?
    pass
    AI named tryonlabs/opentryon explicitly

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

  • If a team adopts tryonlabs/opentryon in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tryonlabs/opentryon 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 tryonlabs/opentryon solve, and who is the primary audience?
    pass
    AI named tryonlabs/opentryon 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 tryonlabs/opentryon. 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/tryonlabs/opentryon"><img src="https://repogeo.com/badge/tryonlabs/opentryon.svg" alt="RepoGEO" /></a>
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite