RRepoGEO

REPOGEO REPORT · LITE

NVlabs/DiffiT

Default branch dev · commit 7f73e9f3 · scanned 6/16/2026, 9:02:51 AM

GitHub: 518 stars · 18 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 NVlabs/DiffiT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
    This project is licensed under the terms specified in the LICENSE file. Please refer to the LICENSE file for details on usage and distribution.
  • lowhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.nvidia.com/research/licensing

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 NVlabs/DiffiT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. Midjourney · recommended 2×
  3. DALL-E 3 · recommended 1×
  4. Imagen · recommended 1×
  5. PixArt-α · recommended 1×
  • CATEGORY QUERY
    What are the best image generation models using diffusion and transformer architectures?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. DALL-E 3
    3. Midjourney
    4. Imagen
    5. PixArt-α

    AI recommended 5 alternatives but never named NVlabs/DiffiT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I achieve state-of-the-art performance in class-conditional image synthesis?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN3
    2. Stable Diffusion
    3. DALL-E 2
    4. Midjourney
    5. BigGAN
    6. VQGAN + CLIP
    7. GauGAN

    AI recommended 7 alternatives but never named NVlabs/DiffiT. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 NVlabs/DiffiT?
    pass
    AI named NVlabs/DiffiT explicitly

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

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

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

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NVlabs/DiffiT — 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