RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/SeedVR

Default branch main · commit e4de8c24 · scanned 5/16/2026, 9:23:39 AM

GitHub: 1,184 stars · 70 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 ByteDance-Seed/SeedVR, 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
    Add a concise, high-level problem statement to the README's opening

    Why:

    COPY-PASTE FIX
    SeedVR is a state-of-the-art diffusion transformer model specifically designed for generic video restoration, excelling in both real-world and AI-generated content.
  • mediumreadme#2
    Expand the 'Why SeedVR' section to differentiate from common video enhancement tools

    Why:

    CURRENT
    Conventional restoration models achieve inferior performance on both real-world and AIGC video restoration due to limited generation ability. Recent diffusion-based models improve the performance by introducing diffusion prior via ControlNet-like or adaptor-like architectures. Though gaining improvement, these methods generally suffer from constraints brought by the diffusion prior...
    COPY-PASTE FIX
    Unlike traditional commercial video enhancement software or prior diffusion models, SeedVR introduces a novel diffusion transformer approach that overcomes limitations in generation ability and fixed resolutions, offering superior performance for generic video restoration on diverse content.
  • lowtopics#3
    Add 'video-enhancement' and 'video-upscaling' to the repository topics

    Why:

    CURRENT
    diffusion-transformer, image-restoration, one-step-diffusion-model, video-restoration
    COPY-PASTE FIX
    diffusion-transformer, image-restoration, one-step-diffusion-model, video-restoration, video-enhancement, video-upscaling

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 ByteDance-Seed/SeedVR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Topaz Video AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Topaz Video AI · recommended 1×
  2. DaVinci Resolve Studio · recommended 1×
  3. Adobe Premiere Pro · recommended 1×
  4. Neat Video · recommended 1×
  5. Waifu2x · recommended 1×
  • CATEGORY QUERY
    Seeking robust solutions for generic video restoration, including real-world and AI-generated content.
    you: not recommended
    AI recommended (in order):
    1. Topaz Video AI
    2. DaVinci Resolve Studio
    3. Adobe Premiere Pro
    4. Neat Video
    5. Waifu2x
    6. Video2X
    7. FFmpeg
    8. Gigapixel AI

    AI recommended 8 alternatives but never named ByteDance-Seed/SeedVR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the most effective one-step diffusion transformer models for high-quality video enhancement?
    you: not recommended
    AI recommended (in order):
    1. VideoGPT
    2. Masked Video Diffusion (MVD)
    3. Phenaki
    4. Imagen Video

    AI recommended 4 alternatives but never named ByteDance-Seed/SeedVR. 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 ByteDance-Seed/SeedVR?
    pass
    AI named ByteDance-Seed/SeedVR explicitly

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

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

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

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ByteDance-Seed/SeedVR — 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