RRepoGEO

REPOGEO REPORT · LITE

myccarl/ai-shortVideo-pipeline

Default branch main · commit e9b77c3b · scanned 7/1/2026, 1:29:53 PM

GitHub: 531 stars · 3 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 myccarl/ai-shortVideo-pipeline, 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
    Reposition README H1 and tagline to emphasize 'open-source framework'

    Why:

    CURRENT
    # myAiVideos
    
    > An end-to-end automated short-video production pipeline. One command in, a publish-ready video out.
    COPY-PASTE FIX
    # myAiVideos: An Open-Source End-to-End AI Short-Video Production Pipeline
    
    > Build and automate your own publish-ready short videos with this comprehensive, extensible open-source framework. One command in, a publish-ready video out.
  • mediumreadme#2
    Add a sentence to the Overview section clarifying the unique value proposition

    Why:

    CURRENT
    ## Overview
    
    `myAiVideos` is an open-source engineering project for automated Chinese-language short-video production, covering the full pipeline from **topic discovery → creative generation → visuals → audio → post-production → distribution**. It uses FastAPI as the orchestration core and a Java gateway as the platform governance layer (auth / routing / circuit breaker / metering / observability), coordinating multiple AI models for generation and quality gating.
    COPY-PASTE FIX
    ## Overview
    
    `myAiVideos` is an open-source engineering project for automated Chinese-language short-video production, covering the full pipeline from **topic discovery → creative generation → visuals → audio → post-production → distribution**. Unlike proprietary SaaS solutions or fragmented component libraries, `myAiVideos` provides a complete, extensible open-source framework for developers and content engineers to build and customize their own automated video production workflows. It uses FastAPI as the orchestration core and a Java gateway as the platform governance layer (auth / routing / circuit breaker / metering / observability), coordinating multiple AI models for generation and quality gating.
  • mediumhomepage#3
    Add the repository URL as the project homepage

    Why:

    COPY-PASTE FIX
    https://github.com/myccarl/ai-shortVideo-pipeline

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 myccarl/ai-shortVideo-pipeline
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Jasper · recommended 1×
  3. Copy.ai · recommended 1×
  4. ElevenLabs · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    How to automate short video creation using AI models from topic to distribution?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Jasper
    3. Copy.ai
    4. ElevenLabs
    5. Descript
    6. Play.ht
    7. Pexels
    8. Pixabay
    9. Unsplash
    10. Midjourney
    11. DALL-E 3
    12. Stable Diffusion
    13. RunwayML
    14. Pictory.ai
    15. InVideo
    16. CapCut
    17. Buffer
    18. Hootsuite
    19. Later

    AI recommended 19 alternatives but never named myccarl/ai-shortVideo-pipeline. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI video pipeline with multi-model failover, circuit breakers, and observability features.
    you: not recommended
    AI recommended (in order):
    1. Kubeflow Pipelines
    2. Istio
    3. Linkerd
    4. Prometheus
    5. Grafana
    6. MLflow
    7. Kubernetes
    8. Kong Gateway
    9. Ambassador Edge Stack
    10. ELK stack
    11. Elasticsearch
    12. Logstash
    13. Kibana
    14. Loki
    15. AWS Step Functions
    16. AWS Lambda
    17. AWS Fargate
    18. AWS SageMaker Endpoints
    19. AWS X-Ray
    20. Amazon CloudWatch
    21. Azure Data Factory
    22. Azure Machine Learning Endpoints
    23. Azure Monitor
    24. Azure Application Insights
    25. Google Cloud Vertex AI Pipelines
    26. Vertex AI Endpoints
    27. Google Cloud Operations
    28. Stackdriver
    29. Cloud Monitoring
    30. Cloud Logging
    31. Cloud Trace

    AI recommended 31 alternatives but never named myccarl/ai-shortVideo-pipeline. 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 myccarl/ai-shortVideo-pipeline?
    pass
    AI did not name myccarl/ai-shortVideo-pipeline — 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 myccarl/ai-shortVideo-pipeline in production, what risks or prerequisites should they evaluate first?
    pass
    AI named myccarl/ai-shortVideo-pipeline 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 myccarl/ai-shortVideo-pipeline solve, and who is the primary audience?
    pass
    AI named myccarl/ai-shortVideo-pipeline 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 myccarl/ai-shortVideo-pipeline. 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/myccarl/ai-shortVideo-pipeline.svg)](https://repogeo.com/en/r/myccarl/ai-shortVideo-pipeline)
HTML
<a href="https://repogeo.com/en/r/myccarl/ai-shortVideo-pipeline"><img src="https://repogeo.com/badge/myccarl/ai-shortVideo-pipeline.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

myccarl/ai-shortVideo-pipeline — 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