RRepoGEO

REPOGEO REPORT · LITE

swark-io/swark

Default branch main · commit 0f6b94ad · scanned 5/12/2026, 1:11:45 AM

GitHub: 1,678 stars · 106 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 swark-io/swark, 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
    Reposition and clarify the core identity in the README's opening

    Why:

    CURRENT
    <p align="center"><b>Automatic Architecture Diagrams from Code</b><br />Free • Open Source • Powered by LLMs</p>
    COPY-PASTE FIX
    <p align="center"><b>Swark: A VS Code Extension for Automatic Architecture Diagrams from Code</b><br />Free • Open Source • Powered by LLMs</p>
  • mediumreadme#2
    Add a comparison section to differentiate from alternatives

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## Swark vs. Traditional Diagramming Tools` or `## How Swark is Different`. In this section, explicitly mention tools like PlantUML, Structurizr, Mermaid, and highlight Swark's unique LLM-driven, automatic generation directly from code, and VS Code integration as key differentiators. For example: 'Unlike tools like PlantUML or Structurizr which require manual diagram-as-code definitions, Swark leverages LLMs to automatically generate diagrams directly from your codebase, integrated seamlessly into VS Code.'
  • lowreadme#3
    Strengthen the problem statement and target audience in the README

    Why:

    COPY-PASTE FIX
    Add a short paragraph or bullet points near the top of the README (e.g., after the initial tagline) that clearly articulates the problem Swark solves (e.g., 'Tired of outdated, manually maintained architecture diagrams?') and explicitly states the target audience (e.g., 'Swark is built for developers and architects...').

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 swark-io/swark
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PlantUML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PlantUML · recommended 2×
  2. Structurizr · recommended 1×
  3. ArchUnit · recommended 1×
  4. py2plantuml · recommended 1×
  5. NDepend · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate architecture diagrams directly from my existing codebase?
    you: not recommended
    AI recommended (in order):
    1. Structurizr
    2. PlantUML
    3. ArchUnit
    4. py2plantuml
    5. NDepend
    6. Graphviz
    7. Doxygen
    8. Sourcegraph
    9. CodeSee Maps
    10. Understand (SciTools)
    11. Mermaid.js

    AI recommended 11 alternatives but never named swark-io/swark. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools leverage large language models for automated system design visualization?
    you: not recommended
    AI recommended (in order):
    1. Mermaid
    2. ChatGPT
    3. GitHub Copilot Chat
    4. PlantUML
    5. Diagrams.net
    6. Microsoft Visio
    7. Microsoft Copilot
    8. Whimsical AI
    9. Excalidraw

    AI recommended 9 alternatives but never named swark-io/swark. 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 swark-io/swark?
    pass
    AI named swark-io/swark explicitly

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

  • If a team adopts swark-io/swark in production, what risks or prerequisites should they evaluate first?
    pass
    AI named swark-io/swark 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 swark-io/swark solve, and who is the primary audience?
    pass
    AI named swark-io/swark 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 swark-io/swark. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/swark-io/swark.svg)](https://repogeo.com/en/r/swark-io/swark)
HTML
<a href="https://repogeo.com/en/r/swark-io/swark"><img src="https://repogeo.com/badge/swark-io/swark.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

swark-io/swark — 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