RRepoGEO

REPOGEO REPORT · LITE

GoogleCloudPlatform/asl-ml-immersion

Default branch master · commit 5e05adf6 · scanned 5/28/2026, 5:57:06 PM

GitHub: 2,552 stars · 1,499 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 GoogleCloudPlatform/asl-ml-immersion, 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
    Clarify "ASL" acronym and repo's purpose in README H1

    Why:

    CURRENT
    # Advanced Solutions Lab
    COPY-PASTE FIX
    # Google Cloud Advanced Solutions Lab (ASL) Immersion Program: AI/ML Notebooks & Code Samples
  • mediumtopics#2
    Refine and add topics to clarify educational nature and specific technologies

    Why:

    CURRENT
    adk, adk-pyth, agents, generative-ai, google-cloud-platform, machine-learning, tensorflow
    COPY-PASTE FIX
    google-cloud-platform, vertex-ai, machine-learning, generative-ai, tensorflow, keras, deep-learning, mlops, ai-bootcamp, tutorials, code-samples, learning-path
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    [YOUR_ASL_HOMEPAGE_URL_HERE]

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 GoogleCloudPlatform/asl-ml-immersion
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vertex AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vertex AI · recommended 2×
  2. AWS SageMaker · recommended 1×
  3. Hugging Face · recommended 1×
  4. Microsoft Azure Machine Learning · recommended 1×
  5. Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    Where can I find practical examples for building generative AI models on a cloud platform?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. AWS SageMaker
    3. Hugging Face
    4. Microsoft Azure Machine Learning
    5. Azure OpenAI Service
    6. Databricks Lakehouse Platform
    7. RunPod
    8. Replicate

    AI recommended 8 alternatives but never named GoogleCloudPlatform/asl-ml-immersion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to operationalize diverse machine learning models, including deep learning, within a cloud environment?
    you: not recommended
    AI recommended (in order):
    1. Amazon SageMaker
    2. Google Cloud Vertex AI
    3. Azure Machine Learning
    4. MLflow (mlflow/mlflow)
    5. Kubeflow (kubeflow/kubeflow)
    6. Hugging Face Inference Endpoints
    7. Domino Data Lab

    AI recommended 7 alternatives but never named GoogleCloudPlatform/asl-ml-immersion. 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 GoogleCloudPlatform/asl-ml-immersion?
    pass
    AI named GoogleCloudPlatform/asl-ml-immersion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts GoogleCloudPlatform/asl-ml-immersion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GoogleCloudPlatform/asl-ml-immersion 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 GoogleCloudPlatform/asl-ml-immersion solve, and who is the primary audience?
    pass
    AI did not name GoogleCloudPlatform/asl-ml-immersion — 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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MARKDOWN (README)
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GoogleCloudPlatform/asl-ml-immersion — 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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