RRepoGEO

REPOGEO REPORT · LITE

WeichenFan/CFG-Zero-star

Default branch main · commit 3162be1f · scanned 6/11/2026, 1:03:20 PM

GitHub: 704 stars · 26 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 WeichenFan/CFG-Zero-star, 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
  • highabout#1
    Update the 'About' description to clarify the project's domain

    Why:

    CURRENT
    Official repo for CFG-Zero*
    COPY-PASTE FIX
    Official repository for CFG-Zero*, which introduces improved Classifier-Free Guidance for Flow Matching Models to enhance generative model output quality.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    classifier-free-guidance, flow-matching, generative-models, deep-learning, machine-learning, diffusion-models
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intended use.

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 WeichenFan/CFG-Zero-star
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cosine Annealing
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cosine Annealing · recommended 1×
  2. DDIM inversion · recommended 1×
  3. progressive distillation · recommended 1×
  4. adversarial training · recommended 1×
  5. U-Net · recommended 1×
  • CATEGORY QUERY
    How to enhance classifier-free guidance for better generative model output quality?
    you: not recommended
    AI recommended (in order):
    1. Cosine Annealing
    2. DDIM inversion
    3. progressive distillation
    4. adversarial training

    AI recommended 4 alternatives but never named WeichenFan/CFG-Zero-star. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective techniques for improving sample generation in flow matching models?
    you: not recommended
    AI recommended (in order):
    1. U-Net
    2. Transformer
    3. Vision Transformers
    4. Dopri5
    5. RK45
    6. Euler
    7. Runge-Kutta
    8. SciPy
    9. StyleGAN

    AI recommended 9 alternatives but never named WeichenFan/CFG-Zero-star. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 WeichenFan/CFG-Zero-star?
    pass
    AI named WeichenFan/CFG-Zero-star explicitly

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

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

Embed your GEO score

Drop this badge into the README of WeichenFan/CFG-Zero-star. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/WeichenFan/CFG-Zero-star.svg)](https://repogeo.com/en/r/WeichenFan/CFG-Zero-star)
HTML
<a href="https://repogeo.com/en/r/WeichenFan/CFG-Zero-star"><img src="https://repogeo.com/badge/WeichenFan/CFG-Zero-star.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

WeichenFan/CFG-Zero-star — 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