RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/SeedVR

Default branch main · commit e4de8c24 · scanned 6/27/2026, 4:47:32 AM

GitHub: 1,252 stars · 73 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 an explicit clarification of 'VR' in SeedVR at the top of the README

    Why:

    CURRENT
    The README starts with the title 'SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration' followed by author list and paper highlights.
    COPY-PASTE FIX
    Add a sentence immediately after the main title (or before the 'Why SeedVR' section) like: 'SeedVR is a novel diffusion transformer specifically designed for **V**ideo **R**estoration, addressing challenges in both real-world and AI-generated content.'
  • mediumreadme#2
    Add a section comparing SeedVR to other leading diffusion-based video models

    Why:

    CURRENT
    The 'Why SeedVR' section discusses general limitations of existing diffusion models.
    COPY-PASTE FIX
    Add a new section, perhaps titled 'Comparison with State-of-the-Art Diffusion Models' or 'How SeedVR Compares', that explicitly mentions and contrasts SeedVR with models like VDM, SEINE, Video-LDM, Phenaki, and Imagen Video, highlighting SeedVR's unique advantages (e.g., generic video restoration, one-step diffusion, handling various resolutions).
  • lowreadme#3
    Add a 'Target Audience' or 'Use Cases' section to clarify the project's scope

    Why:

    COPY-PASTE FIX
    Add a section like 'Who is SeedVR For?' or 'Intended Use' stating: 'SeedVR is primarily intended for researchers and developers working on advanced video restoration, diffusion models, and generative AI. It provides a robust framework and models for generic video restoration tasks, rather than being an end-user video editing application.'

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. Red Giant Denoiser III · recommended 1×
  • CATEGORY QUERY
    How to improve video quality for both 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. Red Giant Denoiser III
    6. Upscayl
    7. HandBrake
    8. CapCut

    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 best one-step diffusion models for high-quality video restoration?
    you: not recommended
    AI recommended (in order):
    1. Video Diffusion Models (VDM)
    2. SEINE
    3. Video-LDM
    4. Phenaki
    5. Imagen Video

    AI recommended 5 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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MARKDOWN (README)
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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