RRepoGEO

REPOGEO REPORT · LITE

NJU-PCALab/RAG-Diffusion

Default branch main · commit 2acfbd43 · scanned 5/30/2026, 10:22:43 AM

GitHub: 622 stars · 28 forks

AI VISIBILITY SCORE
28 /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
2 / 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 NJU-PCALab/RAG-Diffusion, 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
    Explicitly disambiguate 'RAG' acronym in the README

    Why:

    CURRENT
    We present **RAG**, a **R**egionalA**ware text-to-image **G**eneration method conditioned on regional descriptions for precise layout composition.
    COPY-PASTE FIX
    We present **RAG** (short for **R**egional-**A**ware text-to-image **G**eneration, distinct from Retrieval-Augmented Generation), a method conditioned on regional descriptions for precise layout composition.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    text-to-image, diffusion-models, generative-ai, regional-prompting, compositional-generation, layout-control, computer-vision, deep-learning
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2411.06558

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 NJU-PCALab/RAG-Diffusion
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. ComfyUI · recommended 2×
  3. Midjourney · recommended 1×
  4. Fooocus · recommended 1×
  5. Adobe Firefly · recommended 1×
  • CATEGORY QUERY
    How to achieve precise layout and object placement in text-to-image generation?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. Midjourney
    3. Fooocus
    4. Adobe Firefly
    5. DALL-E 3
    6. ComfyUI

    AI recommended 6 alternatives but never named NJU-PCALab/RAG-Diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for compositional text-to-image generation with regional prompting?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. Stable Diffusion
    3. SAM - Segment Anything Model
    4. Regional Prompter
    5. Automatic1111
    6. ComfyUI
    7. GLIGEN
    8. LayoutDiffusion
    9. Attend-and-Excite
    10. Prompt-to-Prompt (P2P)

    AI recommended 10 alternatives but never named NJU-PCALab/RAG-Diffusion. 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 NJU-PCALab/RAG-Diffusion?
    pass
    AI named NJU-PCALab/RAG-Diffusion explicitly

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

  • If a team adopts NJU-PCALab/RAG-Diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NJU-PCALab/RAG-Diffusion 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 NJU-PCALab/RAG-Diffusion solve, and who is the primary audience?
    pass
    AI did not name NJU-PCALab/RAG-Diffusion — 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?

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NJU-PCALab/RAG-Diffusion — 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