RRepoGEO

REPOGEO REPORT · LITE

FireRedTeam/FireRed-OpenStoryline

Default branch main · commit 04297707 · scanned 5/8/2026, 10:47:38 AM

GitHub: 2,557 stars · 302 forks

AI VISIBILITY SCORE
28 /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
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 FireRedTeam/FireRed-OpenStoryline, 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
    Strengthen README's opening to clarify AI video editing agent role

    Why:

    CURRENT
    FireRed-OpenStoryline turns complex video creation into natural, intuitive conversations.
    COPY-PASTE FIX
    FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powered planning, and precise tool orchestration.
  • highhomepage#2
    Add homepage URL to repository About section

    Why:

    COPY-PASTE FIX
    Add the primary project homepage URL (e.g., a dedicated website or a main demo page like the HuggingFace link) to the 'Website' field in the repository's 'About' section.
  • mediumtopics#3
    Expand topics with AI/LLM-specific video editing terms

    Why:

    CURRENT
    agent, chatbot, langchain, mcp, skills, video, video-cut, video-editing, video-editing-tools
    COPY-PASTE FIX
    agent, ai, llm, natural-language-processing, video, video-editing, video-generation, video-automation, creative-ai, generative-ai, langchain

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 FireRedTeam/FireRed-OpenStoryline
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Descript
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Descript · recommended 2×
  2. RunwayML · recommended 2×
  3. Adobe Premiere Pro · recommended 2×
  4. CapCut · recommended 2×
  5. Simon Says · recommended 1×
  • CATEGORY QUERY
    How can I automate video editing tasks using natural language prompts and AI agents?
    you: not recommended
    AI recommended (in order):
    1. Descript
    2. RunwayML
    3. Adobe Premiere Pro
    4. Simon Says
    5. Recut
    6. CapCut
    7. Pika Labs
    8. Midjourney
    9. FFmpeg
    10. OpenAI GPT-4
    11. Claude 3
    12. OpenCV (opencv/opencv)
    13. MoviePy (Zulko/moviepy)
    14. scikit-video (scikit-video/scikit-video)

    AI recommended 14 alternatives but never named FireRedTeam/FireRed-OpenStoryline. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI tool to direct video edits with consistent styles and human oversight.
    you: not recommended
    AI recommended (in order):
    1. Adobe Premiere Pro
    2. DaVinci Resolve Studio
    3. RunwayML
    4. Descript
    5. Topaz Video AI
    6. CapCut

    AI recommended 6 alternatives but never named FireRedTeam/FireRed-OpenStoryline. 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 FireRedTeam/FireRed-OpenStoryline?
    pass
    AI did not name FireRedTeam/FireRed-OpenStoryline — 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 FireRedTeam/FireRed-OpenStoryline in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FireRedTeam/FireRed-OpenStoryline 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 FireRedTeam/FireRed-OpenStoryline solve, and who is the primary audience?
    pass
    AI named FireRedTeam/FireRed-OpenStoryline 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 FireRedTeam/FireRed-OpenStoryline. 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/FireRedTeam/FireRed-OpenStoryline.svg)](https://repogeo.com/en/r/FireRedTeam/FireRed-OpenStoryline)
HTML
<a href="https://repogeo.com/en/r/FireRedTeam/FireRed-OpenStoryline"><img src="https://repogeo.com/badge/FireRedTeam/FireRed-OpenStoryline.svg" alt="RepoGEO" /></a>
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FireRedTeam/FireRed-OpenStoryline — 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