RRepoGEO

REPOGEO REPORT · LITE

anthropics/cwc-workshops

Default branch main · commit c0003abc · scanned 6/3/2026, 11:57:38 PM

GitHub: 790 stars · 217 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 anthropics/cwc-workshops, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the 'About' section

    Why:

    COPY-PASTE FIX
    Collection of workshop materials and code examples from Anthropic's 'Code with Claude' series, demonstrating techniques for LLM evaluation, multi-agent systems, and AI-assisted development with Claude. Not maintained or accepting contributions.
  • mediumreadme#2
    Reposition the README H1 to explicitly state its nature as learning materials

    Why:

    CURRENT
    # cwc-workshops Workshop materials. Not maintained and not accepting contributions.
    COPY-PASTE FIX
    # cwc-workshops: Learning materials and code examples from Anthropic's Code with Claude workshops. This repository is not maintained and not accepting contributions.

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 anthropics/cwc-workshops
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 1×
  2. Weights & Biases · recommended 1×
  3. Comet ML · recommended 1×
  4. Hugging Face Accelerate · recommended 1×
  5. Optuna · recommended 1×
  • CATEGORY QUERY
    Strategies for auditing LLM evaluation suites to find optimal model configurations?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Weights & Biases
    3. Comet ML
    4. Hugging Face Accelerate
    5. Optuna
    6. Ray Tune
    7. Deepchecks

    AI recommended 7 alternatives but never named anthropics/cwc-workshops. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to design multi-agent AI systems with modular skills and code execution capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. Open Interpreter
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named anthropics/cwc-workshops. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 anthropics/cwc-workshops?
    pass
    AI named anthropics/cwc-workshops explicitly

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

  • If a team adopts anthropics/cwc-workshops in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name anthropics/cwc-workshops — 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?

  • In one sentence, what problem does the repo anthropics/cwc-workshops solve, and who is the primary audience?
    pass
    AI did not name anthropics/cwc-workshops — 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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anthropics/cwc-workshops — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite