RRepoGEO

REPOGEO REPORT · LITE

hitsz-ids/airda

Default branch main · commit 69e27417 · scanned 5/13/2026, 2:56:28 AM

GitHub: 1,749 stars · 274 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 hitsz-ids/airda, 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
  • highreadme#1
    Add a concise English summary to the README's introduction

    Why:

    CURRENT
    ## 📖 介绍
airda(Air Data Agent)是面向数据分析的多智能体，能够理解数据开发和数据分析需求、理解数据、生成面向数据查询、数据可视化、机器学习等任务的SQL和Python代码
    COPY-PASTE FIX
    ## 📖 Introduction
airda (Air Data Agent) is a multi-agent AI system designed to automate data analysis tasks. It understands data development and analysis needs, generates SQL and Python code for data querying, visualization, and machine learning, and provides business insights.

## 📖 介绍
airda(Air Data Agent)是面向数据分析的多智能体，能够理解数据开发和数据分析需求、理解数据、生成面向数据查询、数据可视化、机器学习等任务的SQL和Python代码
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multi-agent-system, data-analysis, sql-generation, python-code-generation, data-visualization, ai-assistant, generative-ai, llm, data-exploration, business-intelligence
  • mediumreadme#3
    Add a 'Why airda?' section to highlight unique differentiators

    Why:

    COPY-PASTE FIX
    ## Why airda?
Unlike traditional data tools or libraries that require manual coding, airda acts as an intelligent multi-agent assistant. It automates complex data analysis workflows from understanding requirements to generating code and visualizations, significantly reducing manual effort and accelerating insight generation. Its ability to understand business context and self-debug code sets it apart from simple code generators.

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 hitsz-ids/airda
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SQLAlchemy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SQLAlchemy · recommended 1×
  2. Jinja2 · recommended 1×
  3. dbt · recommended 1×
  4. Pandas · recommended 1×
  5. SQLModel · recommended 1×
  • CATEGORY QUERY
    How to automate SQL and Python code generation for data analysis tasks?
    you: not recommended
    AI recommended (in order):
    1. SQLAlchemy
    2. Jinja2
    3. dbt
    4. Pandas
    5. SQLModel
    6. Apache Superset
    7. Custom Python Scripting

    AI recommended 7 alternatives but never named hitsz-ids/airda. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI assistant to simplify data exploration, visualization, and insight generation.
    you: not recommended
    AI recommended (in order):
    1. Tableau Desktop
    2. Microsoft Power BI Desktop
    3. Qlik Sense
    4. Looker
    5. ThoughtSpot
    6. Dataiku DSS
    7. Plotly Dash (plotly/dash)

    AI recommended 7 alternatives but never named hitsz-ids/airda. 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 hitsz-ids/airda?
    pass
    AI named hitsz-ids/airda explicitly

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

  • If a team adopts hitsz-ids/airda in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hitsz-ids/airda 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 hitsz-ids/airda solve, and who is the primary audience?
    pass
    AI named hitsz-ids/airda explicitly

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

Embed your GEO score

Drop this badge into the README of hitsz-ids/airda. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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