RRepoGEO

REPOGEO REPORT · LITE

dbkangaroo/kangaroo

Default branch master · commit 0bebff07 · scanned 6/17/2026, 8:42:03 AM

GitHub: 506 stars · 36 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 dbkangaroo/kangaroo, 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
    Update repository description to clarify non-open source status

    Why:

    CURRENT
    Kangaroo is an AI-powered SQL client and admin tool for popular databases (MariaDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQL Server / ...) on Windows / MacOS / Linux, support table design, query, model, sync, export/import etc, focus on comfortable, fun and developer friendly.
    COPY-PASTE FIX
    Kangaroo is a **non-open source** AI-powered SQL client and admin tool for popular databases (MariaDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQL Server / ...) on Windows / MacOS / Linux, supporting table design, query, model, sync, export/import etc, focused on comfortable, fun and developer friendly. This repository is for localization and user feedback only.
  • highreadme#2
    Reposition README's opening to emphasize 'desktop GUI client' and differentiate from enterprise platforms

    Why:

    CURRENT
    Kangaroo is a AI-powered SQL client and admin tool for popular databases(MariaDB / MongoDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQLServer / ...) on Windows / MacOS / Linux, support table design, query, model, sync, export/import etc, focus on comfortable, fun and developer friendly.
    COPY-PASTE FIX
    Kangaroo is a **cross-platform desktop GUI client and administration tool** for popular databases (MariaDB / MongoDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQLServer / ...) on Windows / MacOS / Linux, supporting table design, query, model, sync, export/import etc, focused on comfortable, fun and developer friendly.
  • mediumtopics#3
    Refine repository topics to focus on core functionality

    Why:

    CURRENT
    ai, database, editorconfig, gnome, linux, macos, mariadb, mongodb, mysql, odbc, ollama-ui, oracle, postgresql, redis, sql, sqlite, sqlserver, vala, windows
    COPY-PASTE FIX
    ai, database, linux, macos, mariadb, mongodb, mysql, odbc, ollama-ui, oracle, postgresql, redis, sql, sqlite, sqlserver, windows

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 dbkangaroo/kangaroo
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DataRobot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DataRobot · recommended 1×
  2. Dremio · recommended 1×
  3. Databricks Lakehouse Platform · recommended 1×
  4. Informatica Intelligent Data Management Cloud (IDMC) · recommended 1×
  5. DbVisualizer · recommended 1×
  • CATEGORY QUERY
    What are some AI-powered database management tools for multiple SQL and NoSQL platforms?
    you: not recommended
    AI recommended (in order):
    1. DataRobot
    2. Dremio
    3. Databricks Lakehouse Platform
    4. Informatica Intelligent Data Management Cloud (IDMC)
    5. DbVisualizer
    6. JetBrains DataGrip
    7. Aqua Data Studio

    AI recommended 7 alternatives but never named dbkangaroo/kangaroo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a cross-platform database client with advanced design and administration features.
    you: not recommended
    AI recommended (in order):
    1. DataGrip
    2. DBeaver Ultimate Edition
    3. SQL Developer
    4. Navicat Premium
    5. TablePlus

    AI recommended 5 alternatives but never named dbkangaroo/kangaroo. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 dbkangaroo/kangaroo?
    pass
    AI named dbkangaroo/kangaroo explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite