RRepoGEO

REPOGEO REPORT · LITE

astronomer/airflow-ai-sdk

Default branch main · commit b38c0a48 · scanned 6/13/2026, 1:56:48 PM

GitHub: 527 stars · 42 forks

AI VISIBILITY SCORE
35 /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
3 / 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 astronomer/airflow-ai-sdk, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    apache-airflow, airflow-sdk, llm-orchestration, ai-agents, machine-learning-workflows, python-sdk, pydantic-ai, generative-ai
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://docs.astronomer.io/airflow-ai-sdk
  • lowreadme#3
    Refine README opening to emphasize Airflow-native LLM orchestration

    Why:

    CURRENT
    A Python SDK for working with LLMs from Apache Airflow. It allows users to call LLMs and orchestrate agent calls directly within their Airflow pipelines using decorator-based tasks.
    COPY-PASTE FIX
    A Python SDK that extends Apache Airflow to seamlessly orchestrate LLMs and AI agents. It empowers Airflow users to build robust, production-ready LLM workflows directly within their DAGs using decorator-based tasks.

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 astronomer/airflow-ai-sdk
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 Assistants API · recommended 1×
  3. Apache Airflow · recommended 1×
  4. Prefect · recommended 1×
  5. Kubeflow Pipelines · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multi-step LLM and AI agent workflows in a production environment?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI Assistants API
    3. Apache Airflow
    4. Prefect
    5. Kubeflow Pipelines
    6. Temporal

    AI recommended 6 alternatives but never named astronomer/airflow-ai-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for building AI agent pipelines with automatic output parsing and conditional branching?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. Haystack (deepset/haystack)
    5. Marvin
    6. Guidance (Microsoft/guidance)

    AI recommended 6 alternatives but never named astronomer/airflow-ai-sdk. 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 astronomer/airflow-ai-sdk?
    pass
    AI named astronomer/airflow-ai-sdk explicitly

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

  • If a team adopts astronomer/airflow-ai-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named astronomer/airflow-ai-sdk 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 astronomer/airflow-ai-sdk solve, and who is the primary audience?
    pass
    AI named astronomer/airflow-ai-sdk 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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  • Brand-free category queries5 vs 2 in Lite
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