RRepoGEO

REPOGEO REPORT · LITE

stepfun-ai/Step-Video-T2V

Default branch main · commit 675e08c0 · scanned 5/21/2026, 6:07:40 PM

GitHub: 3,186 stars · 336 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /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
1 / 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/Step-Video-T2V, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear, concise introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Step-Video-T2V is an open-source framework for high-quality, controllable text-to-video (T2V) and image-to-video (I2V) generation, specializing in synthesizing sequential and multi-action processes from text prompts or still images.
  • highabout#2
    Add a concise project description to the About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    High-quality, controllable text-to-video (T2V) and image-to-video (I2V) generation model, specializing in sequential and multi-action video synthesis.

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/Step-Video-T2V
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. Deforum Stable Diffusion · recommended 1×
  3. AnimateDiff · recommended 1×
  4. ModelScope Text-to-Video · recommended 1×
  5. VideoCrafter · recommended 1×
  • CATEGORY QUERY
    What open source tools can I use to generate video from text descriptions?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Deforum Stable Diffusion
    3. AnimateDiff
    4. ModelScope Text-to-Video
    5. VideoCrafter
    6. CogVideo
    7. Make-A-Video

    AI recommended 7 alternatives but never named stepfun-ai/Step-Video-T2V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a fast model to convert still images into dynamic video clips.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stability AI Stable Video Diffusion (SVD)
    4. Kling
    5. Google Lumiere

    AI recommended 5 alternatives but never named stepfun-ai/Step-Video-T2V. 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 stepfun-ai/Step-Video-T2V?
    pass
    AI did not name stepfun-ai/Step-Video-T2V — 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?

  • If a team adopts stepfun-ai/Step-Video-T2V in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stepfun-ai/Step-Video-T2V 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/Step-Video-T2V solve, and who is the primary audience?
    pass
    AI did not name stepfun-ai/Step-Video-T2V — 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

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stepfun-ai/Step-Video-T2V — 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