RRepoGEO

REPOGEO REPORT · LITE

nv-tlabs/ChronoEdit

Default branch main · commit 37b0da51 · scanned 6/5/2026, 3:42:35 PM

GitHub: 690 stars · 41 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 nv-tlabs/ChronoEdit, 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
    Clarify ChronoEdit's unique problem-solving approach in the README's opening

    Why:

    CURRENT
    The README currently starts with the title and author list, followed by a nested TL;DR.
    COPY-PASTE FIX
    Locate the line `<strong>ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation</strong>` and insert the following directly after it:
`<p>ChronoEdit redefines image editing by treating it as a video generation task, ensuring physically plausible and temporally consistent changes for complex world simulations, unlike traditional editors or generic video generators.</p>`
  • mediumtopics#2
    Add more specific topics to highlight temporal reasoning and simulation

    Why:

    CURRENT
    aigc, image-editing, image-generation, video-generation
    COPY-PASTE FIX
    aigc, image-editing, image-generation, video-generation, temporal-reasoning, world-simulation, video-editing-ai, consistent-image-editing
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Alternatives' or 'Why ChronoEdit?' that briefly explains how ChronoEdit's approach to temporal reasoning and image editing differs from traditional video editing software (e.g., Adobe After Effects) and general AI video generation tools (e.g., RunwayML, Pika Labs), emphasizing its unique focus on physically plausible and temporally consistent edits for world simulation.

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 nv-tlabs/ChronoEdit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe After Effects
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe After Effects · recommended 2×
  2. DaVinci Resolve · recommended 2×
  3. Mocha Pro · recommended 1×
  4. Foundry Nuke · recommended 1×
  5. Fusion · recommended 1×
  • CATEGORY QUERY
    How to achieve temporally consistent image edits with realistic simulation of changes?
    you: not recommended
    AI recommended (in order):
    1. Adobe After Effects
    2. Mocha Pro
    3. Foundry Nuke
    4. DaVinci Resolve
    5. Fusion
    6. RunwayML
    7. Gen-1
    8. Gen-2
    9. Krita
    10. GIMP
    11. G'MIC
    12. OpenCV
    13. Pytorch
    14. TensorFlow

    AI recommended 14 alternatives but never named nv-tlabs/ChronoEdit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to transform static image edits into a dynamic, plausible video sequence.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1/Gen-2
    2. Pika Labs
    3. Stable Diffusion
    4. Deforum Stable Diffusion
    5. AnimateDiff
    6. Adobe After Effects
    7. EbSynth
    8. DeepMotion
    9. CapCut
    10. DaVinci Resolve

    AI recommended 10 alternatives but never named nv-tlabs/ChronoEdit. 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 nv-tlabs/ChronoEdit?
    pass
    AI named nv-tlabs/ChronoEdit explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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nv-tlabs/ChronoEdit — 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