RRepoGEO

REPOGEO REPORT · LITE

the-ai-merge/multimodal-agents-course

Default branch main · commit 8dc13da4 · scanned 6/5/2026, 2:03:04 PM

GitHub: 565 stars · 148 forks

AI VISIBILITY SCORE
22 /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
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 the-ai-merge/multimodal-agents-course, 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
  • highabout#1
    Update the repository description to clarify its nature as a course

    Why:

    CURRENT
    An MCP Multimodal AI Agent with eyes and ears!
    COPY-PASTE FIX
    A free, open-source course to build MCP Multimodal AI Agents with video, image, text, and audio understanding.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://theneuralmaze.substack.com
  • mediumreadme#3
    Elevate the course's core purpose in the README's immediate opening

    Why:

    CURRENT
    <h1 align="center">Kubrick Course</h1>
<p align="center">
    
    <h4 align="center" >Hi Dave...</h4>
</p>
<hr>
<p align="center">
    <h4 align="center">Learn to build AI Agents that can understand images, text, audio and videos.</h3>
</p>
    COPY-PASTE FIX
    <h1 align="center">Kubrick Course</h1>
<p align="center">
    <h4 align="center">Learn to build AI Agents that can understand images, text, audio and videos.</h3>
</p>
<hr>

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 the-ai-merge/multimodal-agents-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepLearning.AI's "Generative AI with Large Language Models"
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI's "Generative AI with Large Language Models" · recommended 1×
  2. Stanford University's CS231N: Convolutional Neural Networks for Visual Recognition · recommended 1×
  3. UC Berkeley's CS294-131: Deep Reinforcement Learning · recommended 1×
  4. Google's "Introduction to Generative AI" · recommended 1×
  5. NVIDIA's "Fundamentals of Deep Learning for Computer Vision" · recommended 1×
  • CATEGORY QUERY
    Seeking a course to develop multimodal AI agents capable of video understanding.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Generative AI with Large Language Models"
    2. Stanford University's CS231N: Convolutional Neural Networks for Visual Recognition
    3. UC Berkeley's CS294-131: Deep Reinforcement Learning
    4. Google's "Introduction to Generative AI"
    5. NVIDIA's "Fundamentals of Deep Learning for Computer Vision"
    6. "Applied Deep Learning for Computer Vision" by Andrew Ng

    AI recommended 6 alternatives but never named the-ai-merge/multimodal-agents-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build robust backend systems for AI agents processing video content?
    you: not recommended
    AI recommended (in order):
    1. FFmpeg
    2. ffmpeg-python
    3. PyAV
    4. OpenCV
    5. PyTorch
    6. TensorFlow
    7. TensorFlow Extended - TFX
    8. Kubernetes
    9. Docker
    10. Apache Kafka
    11. MinIO
    12. Amazon S3
    13. Google Cloud Storage
    14. Azure Blob Storage
    15. Celery
    16. Redis
    17. RabbitMQ

    AI recommended 17 alternatives but never named the-ai-merge/multimodal-agents-course. 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 the-ai-merge/multimodal-agents-course?
    pass
    AI did not name the-ai-merge/multimodal-agents-course — 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 the-ai-merge/multimodal-agents-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named the-ai-merge/multimodal-agents-course 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 the-ai-merge/multimodal-agents-course solve, and who is the primary audience?
    pass
    AI did not name the-ai-merge/multimodal-agents-course — 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?

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the-ai-merge/multimodal-agents-course — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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