RRepoGEO

REPOGEO REPORT · LITE

fnzhan/Generative-AI

Default branch main · commit bd6a5c6b · scanned 6/4/2026, 10:07:52 AM

GitHub: 753 stars · 53 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 fnzhan/Generative-AI, 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
    Reposition the README's opening to clarify it's a survey/resource

    Why:

    CURRENT
    This project is associated with our survey paper which comprehensively contextualizes the advance of Multimodal Image Synthesis & Editing (MISE) and visual AIGC by formulating taxonomies according to data modality and model architectures.
    COPY-PASTE FIX
    This repository is the official project page and curated resource list for our TPAMI 2023 survey paper, 'Multimodal Image Synthesis and Editing: The Generative AI Era'. It provides a comprehensive academic overview and collection of related works, *not* a direct image generation tool.
  • mediumtopics#2
    Add more specific topics to reflect its survey/resource nature

    Why:

    CURRENT
    aigc, diffusion-model, gans, multimodality, nerfs
    COPY-PASTE FIX
    aigc, diffusion-model, gans, multimodality, nerfs, survey, literature-review, academic-resource, computer-vision, image-synthesis, image-editing
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, using the MIT License or Apache-2.0 License template.

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 fnzhan/Generative-AI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DALL-E 3
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 3 · recommended 3×
  2. Midjourney · recommended 2×
  3. Automatic1111 web UI · recommended 1×
  4. ComfyUI · recommended 1×
  5. DreamStudio · recommended 1×
  • CATEGORY QUERY
    What are the best tools for multimodal image generation and editing using generative AI?
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. Automatic1111 web UI
    3. ComfyUI
    4. DreamStudio
    5. DALL-E 3
    6. Adobe Firefly
    7. Fooocus
    8. Leonardo.Ai

    AI recommended 8 alternatives but never named fnzhan/Generative-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to understand state-of-the-art in visual AIGC and diffusion models.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers Library
    2. Stable Diffusion XL (SDXL)
    3. DALL-E 3
    4. Midjourney
    5. Papers With Code
    6. NeurIPS
    7. ICLR
    8. CVPR
    9. ICCV
    10. Latent Diffusion Models (LDMs)
    11. Consistency Models
    12. Generative Adversarial Networks (GANs)
    13. Stability AI Blog
    14. Stable Diffusion
    15. SDXL
    16. OpenAI Research Blog
    17. DALL-E 2
    18. DALL-E 3
    19. Google AI Blog
    20. Imagen
    21. Parti
    22. Generative AI with Diffusion Models
    23. Coursera
    24. DeepLearning.AI
    25. Yannic Kilcher
    26. AI Coffee Break with Letitia

    AI recommended 26 alternatives but never named fnzhan/Generative-AI. 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 fnzhan/Generative-AI?
    pass
    AI named fnzhan/Generative-AI explicitly

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

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