RRepoGEO

REPOGEO REPORT · LITE

anthropics/anthropic-sdk-python

Default branch main · commit 28cdc336 · scanned 5/20/2026, 11:26:10 AM

GitHub: 3,494 stars · 682 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
23 /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
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/anthropic-sdk-python, 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
    Add a concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    The official Python SDK for interacting with Anthropic's Claude family of large language models and their API.
  • hightopics#2
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    python, sdk, anthropic, claude, llm, large-language-models, ai, artificial-intelligence, api-client
  • mediumhomepage#3
    Add the official documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://platform.claude.com/docs/en/api/sdks/python

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/anthropic-sdk-python
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. OpenAI API · recommended 1×
  3. Anthropic API · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How can I integrate a powerful large language model into my Python application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic API
    3. Google Cloud Vertex AI
    4. Hugging Face Transformers
    5. LangChain
    6. Llama.cpp
    7. Microsoft Azure OpenAI Service

    AI recommended 7 alternatives but never named anthropics/anthropic-sdk-python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Python libraries for building conversational AI agents?
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Haystack
    3. LangChain
    4. DeepPavlov
    5. NLTK
    6. spaCy

    AI recommended 6 alternatives but never named anthropics/anthropic-sdk-python. 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/anthropic-sdk-python?
    pass
    AI named anthropics/anthropic-sdk-python 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/anthropic-sdk-python in production, what risks or prerequisites should they evaluate first?
    pass
    AI named anthropics/anthropic-sdk-python 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/anthropic-sdk-python solve, and who is the primary audience?
    pass
    AI did not name anthropics/anthropic-sdk-python — 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/anthropic-sdk-python — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite