REPOGEO REPORT · LITE

Kevin-thu/StoryMem

Default branch main · commit 922d2fa7 · scanned 6/15/2026, 9:23:04 AM

GitHub: 738 stars · 72 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 Kevin-thu/StoryMem, 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

Reposition README opening to clarify AI video generation and 'memory' context

Why:

CURRENT

<p align="center">
  <h2 align="center"><i>StoryMem</i>: Multi-shot Long Video Storytelling with Memory</h1>

  <div align="center">
    
    <p align="left">Given a story script with per-shot text descriptions, StoryMem generates appealing minute-long, multi-shot narrative videos with highly coherent characters and cinematic visual quality. This is achieved through shot-by-shot generation using a memory-conditioned single-shot video diffusion model. <b>See our <a href="https://kevin-thu.github.io/StoryMem/">🌐 Project Page</a> for more details and video results.</b>
</p>
    
  </div>
</p>

COPY-PASTE FIX

# StoryMem: AI Model for Multi-shot Long Video Storytelling with Visual Memory

StoryMem is an official code release for an AI model that generates appealing minute-long, multi-shot narrative videos from story scripts with per-shot text descriptions. It achieves highly coherent characters and cinematic visual quality through shot-by-shot generation using a memory-conditioned single-shot video diffusion model, where "memory" refers to maintaining visual consistency and character identity across video shots. See our 🌐 Project Page for more details and video results.

mediumhomepage#2
Add the project page URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://kevin-thu.github.io/StoryMem/
```

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 Kevin-thu/StoryMem

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Blender

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Blender · recommended 2×
StoryboardThat · recommended 1×
Boords · recommended 1×
Shot Lister · recommended 1×
Final Draft · recommended 1×

CATEGORY QUERY
How to create coherent multi-shot narrative videos from a story script?
you: not recommended
AI recommended (in order):
1. StoryboardThat
2. Boords
3. Shot Lister
4. Final Draft
5. Celtx
6. WriterDuet
7. Blackmagic Pocket Cinema Camera (4K/6K)
8. Sony Alpha series
9. Canon EOS R series
10. iPhone/Android Flagship Phones
11. Filmic Pro
12. Rode NTG series
13. Sennheiser G4 Wireless Lavaliers
14. Zoom H4n Pro / H6
15. Adobe Premiere Pro
16. DaVinci Resolve
17. Final Cut Pro
18. CapCut
19. Kdenlive
20. Adobe Audition
21. Audacity
22. Adobe After Effects
23. Blender
AI recommended 23 alternatives but never named Kevin-thu/StoryMem. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help generate long videos with consistent characters and cinematic quality?
you: not recommended
AI recommended (in order):
1. Unreal Engine
2. MetaHuman Creator
3. Sequencer
4. Control Rig
5. IK Retargeter
6. Blender
7. Character Creator 4
8. MakeHuman
9. Eevee
10. Cycles
11. iClone 8
12. Unreal Engine Live Link
13. Adobe Character Animator
14. RunwayML
15. Gen-1
16. Gen-2
AI recommended 16 alternatives but never named Kevin-thu/StoryMem. 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 Kevin-thu/StoryMem?
pass
AI named Kevin-thu/StoryMem explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Kevin-thu/StoryMem in production, what risks or prerequisites should they evaluate first?
pass
AI named Kevin-thu/StoryMem 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 Kevin-thu/StoryMem solve, and who is the primary audience?
pass
AI named Kevin-thu/StoryMem 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 Kevin-thu/StoryMem. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Kevin-thu/StoryMem.svg)](https://repogeo.com/en/r/Kevin-thu/StoryMem)

HTML

<a href="https://repogeo.com/en/r/Kevin-thu/StoryMem"><img src="https://repogeo.com/badge/Kevin-thu/StoryMem.svg" alt="RepoGEO" /></a>

Pro

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Kevin-thu/StoryMem — 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