RRepoGEO

REPOGEO REPORT · LITE

TencentARC/BrushNet

Default branch main · commit 0f9d9e54 · scanned 5/29/2026, 4:12:54 PM

GitHub: 1,735 stars · 145 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 TencentARC/BrushNet, 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 H1 and opening sentence to clarify audience and nature

    Why:

    CURRENT
    # BrushNet
This repository contains the implementation of the ECCV2024 paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
    COPY-PASTE FIX
    # BrushNet: A Plug-and-Play Open-Source Image Inpainting Model for Researchers and Developers

This repository provides the official, open-source implementation of our ECCV2024 paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion," designed for advanced image restoration and generation tasks.
  • mediumtopics#2
    Expand repository topics for broader and more accurate categorization

    Why:

    CURRENT
    diffusion, diffusion-models, eccv, eccv2024, image-inpainting, text-to-image
    COPY-PASTE FIX
    diffusion, diffusion-models, eccv, eccv2024, image-inpainting, image-restoration, generative-ai, computer-vision, deep-learning, open-source, research-project
  • lowlicense#3
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under a custom license. Please refer to the `LICENSE` file in the repository for full details regarding usage and distribution.

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 TencentARC/BrushNet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop (Generative Fill)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop (Generative Fill) · recommended 1×
  2. Canva (Magic Edit) · recommended 1×
  3. Luminar Neo (Erase/Inpaint) · recommended 1×
  4. PhotoRoom (Retouch) · recommended 1×
  5. Fotor (AI Object Remover/Inpainter) · recommended 1×
  • CATEGORY QUERY
    Looking for a plug-and-play AI solution to seamlessly fill missing parts in images.
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop (Generative Fill)
    2. Canva (Magic Edit)
    3. Luminar Neo (Erase/Inpaint)
    4. PhotoRoom (Retouch)
    5. Fotor (AI Object Remover/Inpainter)
    6. Pixlr (Retouch)

    AI recommended 6 alternatives but never named TencentARC/BrushNet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which advanced diffusion models are effective for high-quality image restoration and inpainting?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. DALL-E 3
    3. Midjourney
    4. ControlNet
    5. Kandinsky 2.2
    6. InstructPix2Pix
    7. DeepFill v2 (NVIDIA)

    AI recommended 7 alternatives but never named TencentARC/BrushNet. 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 TencentARC/BrushNet?
    pass
    AI named TencentARC/BrushNet explicitly

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

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