RRepoGEO

REPOGEO REPORT · LITE

anthropics/claude-agent-sdk-demos

Default branch main · commit 826b2685 · scanned 5/10/2026, 6:32:12 AM

GitHub: 2,323 stars · 339 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 anthropics/claude-agent-sdk-demos, 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 AI agent SDK demos

    Why:

    COPY-PASTE FIX
    ["claude", "anthropic", "ai-agent", "sdk-demos", "llm-applications", "email-agent", "research-agent", "excel-automation"]
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License.
  • mediumreadme#3
    Enhance README introduction to highlight specific application types

    Why:

    CURRENT
    This repository contains multiple demonstrations of the Claude Agent SDK, showcasing different ways to build AI-powered applications with Claude.
    COPY-PASTE FIX
    This repository contains official Anthropic demonstrations of the Claude Agent SDK, showcasing practical ways to build specific AI-powered applications with Claude, such as email assistants, multi-agent research systems, and spreadsheet automation.

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/claude-agent-sdk-demos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. nltk/nltk · recommended 1×
  3. explosion/spaCy · recommended 1×
  4. scikit-learn/scikit-learn · recommended 1×
  5. pandas-dev/pandas · recommended 1×
  • CATEGORY QUERY
    How can I build an AI assistant for email management and data analysis?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. NLTK (nltk/nltk)
    3. spaCy (explosion/spaCy)
    4. scikit-learn (scikit-learn/scikit-learn)
    5. Pandas (pandas-dev/pandas)
    6. Google Cloud AI Platform
    7. Azure Machine Learning
    8. AWS SageMaker
    9. Hugging Face Transformers (huggingface/transformers)
    10. Rasa (RasaHQ/rasa)
    11. Elasticsearch (elastic/elasticsearch)
    12. Kibana (elastic/kibana)
    13. Zapier
    14. Make (formerly Integromat)

    AI recommended 14 alternatives but never named anthropics/claude-agent-sdk-demos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help develop multi-agent AI systems for complex research tasks?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. PetriNetPy
    3. SPADE
    4. Gymnasium
    5. RLlib
    6. MARLlib
    7. NetLogo
    8. Anylogic

    AI recommended 8 alternatives but never named anthropics/claude-agent-sdk-demos. 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 anthropics/claude-agent-sdk-demos?
    pass
    AI did not name anthropics/claude-agent-sdk-demos — 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 anthropics/claude-agent-sdk-demos in production, what risks or prerequisites should they evaluate first?
    pass
    AI named anthropics/claude-agent-sdk-demos 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 anthropics/claude-agent-sdk-demos solve, and who is the primary audience?
    pass
    AI named anthropics/claude-agent-sdk-demos explicitly

    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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anthropics/claude-agent-sdk-demos — 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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