RRepoGEO

REPOGEO REPORT · LITE

ChenyangQiQi/FateZero

Default branch main · commit 9b6cb7b4 · scanned 6/18/2026, 10:32:13 PM

GitHub: 1,163 stars · 108 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)

2 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 ChenyangQiQi/FateZero, 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
  • highabout#1
    Reposition the 'About' description for clarity

    Why:

    CURRENT
    [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"
    COPY-PASTE FIX
    FateZero: The first zero-shot framework for text-driven video editing via pretrained diffusion models without training. (ICCV 2023 Oral)
  • mediumreadme#2
    Add a 'Why FateZero?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## ✨ Why FateZero?', followed by a concise explanation of its unique advantages such as being the 'first zero-shot framework' and requiring 'no training for real-world video editing.'
  • lowreadme#3
    Explicitly state the license in the README

    Why:

    COPY-PASTE FIX
    Add a section like '## 📄 License' followed by 'This project is licensed under the MIT License - see the [LICENSE](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 ChenyangQiQi/FateZero
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-1 / Gen-2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-1 / Gen-2 · recommended 2×
  2. Pika Labs · recommended 2×
  3. Adobe Premiere Pro · recommended 1×
  4. CapCut · recommended 1×
  5. DaVinci Resolve · recommended 1×
  • CATEGORY QUERY
    How to edit video content using text prompts without requiring extensive model training?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Pika Labs
    3. Adobe Premiere Pro
    4. CapCut
    5. DaVinci Resolve

    AI recommended 5 alternatives but never named ChenyangQiQi/FateZero. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable text-driven video style transfer or scene manipulation with diffusion?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Pika Labs
    3. Stability AI's Stable Video Diffusion (SVD) / Stable Diffusion XL (SDXL) with ControlNet for Video
    4. Meta's Emu Video
    5. Google's Phenaki / Imagen Video
    6. AnimateDiff
    7. Deforum Stable Diffusion (for video)

    AI recommended 7 alternatives but never named ChenyangQiQi/FateZero. 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 ChenyangQiQi/FateZero?
    pass
    AI named ChenyangQiQi/FateZero explicitly

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

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