RRepoGEO

REPOGEO REPORT · LITE

EzioBy/Ditto

Default branch main · commit a43e46f7 · scanned 6/1/2026, 4:57:57 AM

GitHub: 604 stars · 51 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 EzioBy/Ditto, 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
    Update 'About' description to disambiguate project name

    Why:

    CURRENT
    [CVPR'26 Highlight] Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
    COPY-PASTE FIX
    EzioBy's Ditto: [CVPR'26 Highlight] A framework for Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset.
  • highreadme#2
    Update README H1 to include full repo name for disambiguation

    Why:

    CURRENT
    # Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
    COPY-PASTE FIX
    # EzioBy/Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
  • mediumreadme#3
    Add explicit positioning as an 'AI framework' in README's opening

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the H1: 'This repository presents EzioBy/Ditto, an open-source AI framework and scalable pipeline for generating high-quality synthetic video editing data and training instruction-based video editing models.'

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 EzioBy/Ditto
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-1 / Gen-2 · recommended 1×
  2. Adobe Firefly · recommended 1×
  3. Pika Labs · recommended 1×
  4. Meta Make-A-Video · recommended 1×
  5. Google Lumiere · recommended 1×
  • CATEGORY QUERY
    What AI frameworks allow high-quality video editing driven by natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Adobe Firefly
    3. Pika Labs
    4. Meta Make-A-Video
    5. Google Lumiere
    6. Synthesia
    7. Descript

    AI recommended 7 alternatives but never named EzioBy/Ditto. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking scalable pipelines for generating synthetic video datasets to train advanced editing models.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse
    2. Unreal Engine
    3. Unity
    4. Blender
    5. Gazebo (osrf/gazebo)
    6. CARLA Simulator (carla-simulator/carla)

    AI recommended 6 alternatives but never named EzioBy/Ditto. 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 EzioBy/Ditto?
    pass
    AI named EzioBy/Ditto explicitly

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

  • If a team adopts EzioBy/Ditto in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EzioBy/Ditto 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 EzioBy/Ditto solve, and who is the primary audience?
    pass
    AI named EzioBy/Ditto 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 EzioBy/Ditto. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/EzioBy/Ditto.svg)](https://repogeo.com/en/r/EzioBy/Ditto)
HTML
<a href="https://repogeo.com/en/r/EzioBy/Ditto"><img src="https://repogeo.com/badge/EzioBy/Ditto.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

EzioBy/Ditto — 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