RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/NextStep-1

Default branch main · commit a3303b62 · scanned 6/13/2026, 11:57:48 PM

GitHub: 688 stars · 26 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 stepfun-ai/NextStep-1, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    image-generation, autoregressive-models, continuous-tokens, deep-learning, computer-vision, multimodal-ai, research-project, generative-ai
  • highreadme#2
    Add a direct category and differentiator statement to the README's introduction

    Why:

    COPY-PASTE FIX
    NextStep-1 is a state-of-the-art autoregressive model for high-fidelity image generation, offering a distinct approach from diffusion models and discrete token methods by working directly with continuous image tokens.
  • mediumhomepage#3
    Add the project's homepage URL

    Why:

    COPY-PASTE FIX
    https://stepfun-ai.github.io/NextStep-1/

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 stepfun-ai/NextStep-1
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 1×
  2. Midjourney · recommended 1×
  3. DALL-E 3 · recommended 1×
  4. DeepFloyd IF · recommended 1×
  5. Imagen · recommended 1×
  • CATEGORY QUERY
    What are the best image generation models that work with continuous tokens for high detail?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Midjourney
    3. DALL-E 3
    4. DeepFloyd IF
    5. Imagen

    AI recommended 5 alternatives but never named stepfun-ai/NextStep-1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a scalable autoregressive model for image synthesis, avoiding discrete token limitations.
    you: not recommended
    AI recommended (in order):
    1. PixelCNN++
    2. VQ-VAE-2
    3. NVAE
    4. Diffusion Models
    5. DDPM
    6. ADM
    7. Glow

    AI recommended 7 alternatives but never named stepfun-ai/NextStep-1. 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 stepfun-ai/NextStep-1?
    pass
    AI named stepfun-ai/NextStep-1 explicitly

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

  • If a team adopts stepfun-ai/NextStep-1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/NextStep-1 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 stepfun-ai/NextStep-1 solve, and who is the primary audience?
    pass
    AI named stepfun-ai/NextStep-1 explicitly

    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 stepfun-ai/NextStep-1. 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/stepfun-ai/NextStep-1.svg)](https://repogeo.com/en/r/stepfun-ai/NextStep-1)
HTML
<a href="https://repogeo.com/en/r/stepfun-ai/NextStep-1"><img src="https://repogeo.com/badge/stepfun-ai/NextStep-1.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

stepfun-ai/NextStep-1 — 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