RRepoGEO

REPOGEO REPORT · LITE

swark-io/swark

Default branch main · commit 0f6b94ad · scanned 6/22/2026, 7:16:46 AM

GitHub: 1,685 stars · 107 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
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
    Clarify project purpose and category in the README's opening paragraph

    Why:

    CURRENT
    Swark is a VS Code extension that allows creating architecture diagrams from code automatically using large language models (LLMs).
Swark is **directly integrated with GitHub Copilot**, and requires no authentication or API key.
    COPY-PASTE FIX
    Swark is a **free and open-source VS Code extension for software architects and developers** that automatically generates system architecture diagrams directly from your codebase using large language models (LLMs). It integrates seamlessly with GitHub Copilot, requiring no authentication or API key.
  • mediumreadme#2
    Add a brief comparison to existing diagramming tools in the README

    Why:

    COPY-PASTE FIX
    Unlike traditional diagramming tools such as PlantUML or Graphviz, Swark leverages LLMs to automatically generate diagrams directly from your existing codebase, eliminating manual diagramming efforts and ensuring your documentation stays in sync with your code.
  • lowabout#3
    Refine the repository description for clarity and impact

    Why:

    CURRENT
    Create architecture diagrams from code automatically using large language models (LLMs).
    COPY-PASTE FIX
    Automatically generate detailed system architecture diagrams directly from your codebase using large language models (LLMs), ideal 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
CodeSee Maps
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CodeSee Maps · recommended 2×
  2. Structurizr · recommended 1×
  3. PlantUML · recommended 1×
  4. ArchUnit · recommended 1×
  5. Graphviz · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate system architecture diagrams directly from my codebase?
    you: not recommended
    AI recommended (in order):
    1. Structurizr
    2. PlantUML
    3. ArchUnit
    4. Graphviz
    5. CodeSee Maps
    6. Understand
    7. Mermaid.js

    AI recommended 7 alternatives but never named swark-io/swark. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI to visualize software design and help understand existing code structure?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. CodeSee Maps
    3. Sourcegraph Cody
    4. Kite
    5. Snyk Code
    6. Code Climate
    7. OpenAI GPT-4

    AI recommended 7 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?

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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