RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/HY-SOAR

Default branch main · commit 59f0e02d · scanned 5/31/2026, 4:14:08 PM

GitHub: 621 stars · 64 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 Tencent-Hunyuan/HY-SOAR, 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
    Add a clear disambiguation statement to the README's introduction

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the H1 or in the first introductory paragraph: "This project focuses on self-correction for diffusion models in generative AI, and is distinct from Security Orchestration, Automation, and Response (SOAR) platforms."
  • hightopics#2
    Add more specific and disambiguating topics

    Why:

    CURRENT
    aigc, diffusion
    COPY-PASTE FIX
    aigc, diffusion, diffusion-models, self-correction, generative-ai, image-generation, machine-learning
  • mediumhomepage#3
    Add the project homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://hy-soar.github.io/

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 Tencent-Hunyuan/HY-SOAR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 2×
  2. huggingface/diffusers · recommended 1×
  3. keras-team/keras-cv · recommended 1×
  4. GLIDE · recommended 1×
  5. DreamFusion · recommended 1×
  • CATEGORY QUERY
    Seeking methods to enhance diffusion model output quality using self-correction during generation.
    you: not recommended
    AI recommended (in order):
    1. Diffusers library (huggingface/diffusers)
    2. KerasCV (keras-team/keras-cv)
    3. GLIDE
    4. DreamFusion
    5. ControlNet (lllyasviel/ControlNet)
    6. DeepFloyd IF (DeepFloyd/IF)
    7. Imagen
    8. Stable Diffusion (Stability-AI/StableDiffusion)
    9. Midjourney
    10. Automatic1111's Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)

    AI recommended 10 alternatives but never named Tencent-Hunyuan/HY-SOAR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for techniques to refine diffusion models without reliance on reward models or preference data.
    you: not recommended
    AI recommended (in order):
    1. Self-Correction Diffusion Models
    2. OpenAI CLIP
    3. Denoising Diffusion Implicit Models (DDIM)
    4. Consistency Models (CMs)
    5. Stable Diffusion
    6. Diffusion-GAN
    7. Latent Diffusion Models (LDMs)
    8. LAION-5B
    9. DALL-E 2
    10. Midjourney
    11. VGG-16
    12. VGG-19
    13. Learned Perceptual Image Patch Similarity (LPIPS)
    14. AlexNet
    15. VGG
    16. Progressive Growing of GANs (PGGAN)
    17. Cascaded Diffusion Models (CDMs)
    18. Optuna
    19. AutoGluon
    20. ENAS
    21. DARTS

    AI recommended 21 alternatives but never named Tencent-Hunyuan/HY-SOAR. 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 Tencent-Hunyuan/HY-SOAR?
    pass
    AI named Tencent-Hunyuan/HY-SOAR explicitly

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

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

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

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Tencent-Hunyuan/HY-SOAR — 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