RRepoGEO

REPOGEO REPORT · LITE

williamyang1991/Rerender_A_Video

Default branch main · commit dfaf9d88 · scanned 5/15/2026, 1:33:19 AM

GitHub: 3,004 stars · 199 forks

AI VISIBILITY SCORE
27 /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
1 / 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 williamyang1991/Rerender_A_Video, 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 the README H1 to specify the core capability

    Why:

    CURRENT
    # Rerender A Video - Official PyTorch Implementation
    COPY-PASTE FIX
    # Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation (Official PyTorch Implementation)
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    controlnet, diffusion, video-processing
    COPY-PASTE FIX
    controlnet, diffusion, video-processing, video-to-video-translation, zero-shot, text-guided, generative-ai
  • lowreadme#3
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [specify license(s) from the LICENSE file, e.g., a custom license, or a combination of licenses]. Please refer to the `LICENSE` file for details.

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 williamyang1991/Rerender_A_Video
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. AnimateDiff · recommended 2×
  3. RunwayML Gen-1 / Gen-2 · recommended 1×
  4. Stable Diffusion · recommended 1×
  5. TemporalKit · recommended 1×
  • CATEGORY QUERY
    Need to re-style video content using text descriptions while preserving motion and structure.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Stable Diffusion
    3. ControlNet
    4. AnimateDiff
    5. TemporalKit
    6. Pika Labs
    7. Midjourney
    8. DAIN
    9. RIFE
    10. Adobe After Effects
    11. Red Giant Universe

    AI recommended 11 alternatives but never named williamyang1991/Rerender_A_Video. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable zero-shot text-guided video-to-video translation with diffusion models?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Video-P2P
    3. Tune-A-Video
    4. ControlNet
    5. Stable Diffusion XL
    6. AnimateDiff
    7. DreamPose

    AI recommended 7 alternatives but never named williamyang1991/Rerender_A_Video. 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 williamyang1991/Rerender_A_Video?
    pass
    AI did not name williamyang1991/Rerender_A_Video — likely talking about a different project

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

  • If a team adopts williamyang1991/Rerender_A_Video in production, what risks or prerequisites should they evaluate first?
    pass
    AI named williamyang1991/Rerender_A_Video 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 williamyang1991/Rerender_A_Video solve, and who is the primary audience?
    pass
    AI did not name williamyang1991/Rerender_A_Video — likely talking about a different project

    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 williamyang1991/Rerender_A_Video. 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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williamyang1991/Rerender_A_Video — 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