RRepoGEO

REPOGEO REPORT · LITE

aws-samples/aws-ml-enablement-workshop

Default branch main · commit 55bfa65e · scanned 6/12/2026, 5:11:53 PM

GitHub: 555 stars · 58 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 aws-samples/aws-ml-enablement-workshop, 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
  • hightopics#1
    Add specific topics for workshop methodology and generative AI integration

    Why:

    CURRENT
    amazon-sagemaker-lab, machine-learning
    COPY-PASTE FIX
    ai-ml-product-development, workshop-methodology, generative-ai-integration, working-backwards
  • highreadme#2
    Reposition the README H1 and opening sentence to emphasize methodology and GenAI

    Why:

    CURRENT
    # ML Enablement Workshop

ML Enablement Workshop は、生成 AI を含めた AI/ML 技術をプロダクトの成長に繋げられるチームを組成するためのワークショップです。
    COPY-PASTE FIX
    # ML Enablement Workshop: AI/ML プロダクト開発のための実践的ワークショップメソッド

ML Enablement Workshop は、Amazon の Working Backwards 手法と生成 AI を活用し、組織横断的にチームを組成し、AI/ML 技術をプロダクトの成長に繋げるための実践的なワークショップメソッドです。
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [URL to a dedicated workshop landing page or relevant AWS page, e.g., https://aws.amazon.com/jp/machine-learning/enablement-workshop/]

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 aws-samples/aws-ml-enablement-workshop
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Design Sprint
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Design Sprint · recommended 1×
  2. Microsoft AI School's AI Business School Framework · recommended 1×
  3. IBM Garage Methodology · recommended 1×
  4. Data-Driven Design Thinking (DDD) by IDEO · recommended 1×
  5. Crisp-DM (Cross-Industry Standard Process for Data Mining) · recommended 1×
  • CATEGORY QUERY
    How can my organization implement a structured workshop for AI/ML product development?
    you: not recommended
    AI recommended (in order):
    1. Google Design Sprint
    2. Microsoft AI School's AI Business School Framework
    3. IBM Garage Methodology
    4. Data-Driven Design Thinking (DDD) by IDEO
    5. Crisp-DM (Cross-Industry Standard Process for Data Mining)
    6. Agile/Scrum
    7. MLOps

    AI recommended 7 alternatives but never named aws-samples/aws-ml-enablement-workshop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What methodologies help integrate generative AI into early-stage product design and validation?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Midjourney
    3. DALL-E 3
    4. GPT-4
    5. Claude 3
    6. Uizard
    7. Figma
    8. Magician for Figma
    9. Anima AI
    10. Jira
    11. GitHub Copilot
    12. Google Bard
    13. Perplexity AI
    14. Optimizely
    15. VWO

    AI recommended 15 alternatives but never named aws-samples/aws-ml-enablement-workshop. 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 aws-samples/aws-ml-enablement-workshop?
    pass
    AI did not name aws-samples/aws-ml-enablement-workshop — 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 aws-samples/aws-ml-enablement-workshop in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws-samples/aws-ml-enablement-workshop 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 aws-samples/aws-ml-enablement-workshop solve, and who is the primary audience?
    pass
    AI did not name aws-samples/aws-ml-enablement-workshop — 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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