RRepoGEO

REPOGEO REPORT · LITE

geek-fun/dockit

Default branch master · commit e3f2bab6 · scanned 6/30/2026, 8:32:12 AM

GitHub: 1,116 stars · 110 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
33 /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
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 geek-fun/dockit, 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
    Clarify 'About' description to prevent Docker confusion

    Why:

    CURRENT
    Agentic desktop GUI client for Elasticsearch, OpenSearch, DynamoDB, MongoDB & EasySearch. Natural language queries, visual management, and monitoring. Privacy-first. Open source.
    COPY-PASTE FIX
    DocKit: A privacy-first, open-source desktop GUI client for Elasticsearch, OpenSearch, DynamoDB, MongoDB & EasySearch. NOT a Docker tool. Features natural language queries, visual management, and monitoring.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

DocKit stands apart from general-purpose database GUIs like DataGrip and DBeaver by focusing exclusively on NoSQL databases (Elasticsearch, OpenSearch, DynamoDB, MongoDB) and integrating advanced AI-powered natural language querying. Unlike browser-based consoles, DocKit offers a native desktop experience with privacy-first principles, ensuring your data and API keys remain local.
  • lowreadme#3
    Add a concise 'What is DocKit?' section immediately after the H1

    Why:

    COPY-PASTE FIX
    ## What is DocKit?

DocKit is your all-in-one, privacy-first native desktop GUI for managing NoSQL databases like Elasticsearch, OpenSearch, DynamoDB, and MongoDB. It replaces multiple browser consoles with a single application, offering both traditional query editing and AI-powered natural language interaction to simplify data management.

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 geek-fun/dockit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DataGrip
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DataGrip · recommended 1×
  2. DBeaver Ultimate Edition · recommended 1×
  3. JetBrains DataGrip · recommended 1×
  4. Insomnia · recommended 1×
  5. Postman · recommended 1×
  • CATEGORY QUERY
    What is a good desktop GUI for managing multiple NoSQL databases like MongoDB and Elasticsearch?
    you: not recommended
    AI recommended (in order):
    1. DataGrip

    AI recommended 1 alternative but never named geek-fun/dockit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an AI-powered desktop tool for natural language querying and managing Elasticsearch and DynamoDB.
    you: not recommended
    AI recommended (in order):
    1. DBeaver Ultimate Edition
    2. JetBrains DataGrip
    3. Insomnia
    4. Postman
    5. Electron
    6. PyQt
    7. OpenAI API
    8. LangChain
    9. Elasticsearch Kibana
    10. AWS DynamoDB Console

    AI recommended 10 alternatives but never named geek-fun/dockit. 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 geek-fun/dockit?
    pass
    AI did not name geek-fun/dockit — 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?

  • If a team adopts geek-fun/dockit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named geek-fun/dockit 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 geek-fun/dockit solve, and who is the primary audience?
    pass
    AI named geek-fun/dockit 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 geek-fun/dockit. 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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geek-fun/dockit — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
geek-fun/dockit — RepoGEO report