RRepoGEO

REPOGEO REPORT · LITE

hitsz-ids/airda

Default branch main · commit 69e27417 · scanned 6/23/2026, 11:42:11 AM

GitHub: 1,763 stars · 273 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
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

    Why:

    COPY-PASTE FIX
    Add this sentence prominently, e.g., right after the main title: 'airda is an AI-driven multi-agent system designed to automate data analysis by generating SQL and Python code for data querying, visualization, and machine learning tasks.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['ai-agent', 'multi-agent-system', 'data-analysis', 'sql-generation', 'python-code-generation', 'data-visualization', 'machine-learning', 'generative-ai']
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://hitsz-ids.github.io/airda (or your project's official website/documentation link)

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/sqlalchemy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. sqlalchemy/sqlalchemy · recommended 1×
  2. pallets/jinja · recommended 1×
  3. dbt-labs/dbt-core · recommended 1×
  4. pandas-dev/pandas · recommended 1×
  5. tiangolo/sqlmodel · recommended 1×
  • CATEGORY QUERY
    How can I automate SQL and Python code generation for data analysis tasks?
    you: not recommended
    AI recommended (in order):
    1. SQLAlchemy (sqlalchemy/sqlalchemy)
    2. Jinja2 (pallets/jinja)
    3. dbt (dbt-labs/dbt-core)
    4. Pandas (pandas-dev/pandas)
    5. SQLModel (tiangolo/sqlmodel)
    6. Apache Superset (apache/superset)

    AI recommended 6 alternatives but never named hitsz-ids/airda. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI agents to simplify data exploration and generate insights?
    you: not recommended
    AI recommended (in order):
    1. ThoughtSpot
    2. Tableau
    3. Microsoft Power BI
    4. DataRobot
    5. Exploratory
    6. Qlik Sense

    AI recommended 6 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?

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hitsz-ids/airda — 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