RRepoGEO

REPOGEO REPORT · LITE

signerlabs/ShipSwift

Default branch main · commit 0877b3af · scanned 6/18/2026, 9:03:28 AM

GitHub: 2,183 stars · 132 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 signerlabs/ShipSwift, 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 README H1 and intro to clarify product category

    Why:

    CURRENT
    # ShipSwift

**AI-native SwiftUI component library — production-ready code that LLMs can use to build real apps.**
    COPY-PASTE FIX
    # ShipSwift: AI-Native SwiftUI Component Library & Full-Stack Recipes

**ShipSwift is an AI-native SwiftUI component library, NOT a shipping or logistics platform. It provides production-ready UI components and full-stack recipes that LLMs can use to build real iOS apps quickly.**
  • highreadme#2
    Add a dedicated 'Production Readiness' section to the README

    Why:

    COPY-PASTE FIX
    ## Production Readiness

ShipSwift provides **production-ready** SwiftUI components and recipes. Our codebase is designed for immediate use in live applications, enabling LLMs to generate robust, deployable iOS apps. We explicitly state this to clarify that the project is stable and ready for production environments.
  • mediumtopics#3
    Refine topics to emphasize UI/frontend focus

    Why:

    CURRENT
    ai, animation, chart, component-library, ios, mcp, swift, swiftui
    COPY-PASTE FIX
    ai, animation, chart, component-library, ios, mcp, swift, swiftui, ui-components, mobile-ui, frontend, app-development

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 signerlabs/ShipSwift
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Swift API Client
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Swift API Client · recommended 1×
  2. Core ML · recommended 1×
  3. Hugging Face Transformers.swift · recommended 1×
  4. Llama.cpp · recommended 1×
  5. Firebase ML Kit · recommended 1×
  • CATEGORY QUERY
    Need an AI-native SwiftUI component library for building production-ready iOS applications quickly.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Swift API Client
    2. Core ML
    3. Hugging Face Transformers.swift
    4. Llama.cpp
    5. Firebase ML Kit

    AI recommended 5 alternatives but never named signerlabs/ShipSwift. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find full-stack SwiftUI recipes and AI context for rapid app development?
    you: not recommended
    AI recommended (in order):
    1. SwiftUI Lab
    2. Hacking with Swift
    3. AppCoda
    4. Firebase
    5. Supabase (supabase/supabase)
    6. ChatGPT/GPT-4
    7. Medium/Dev.to

    AI recommended 7 alternatives but never named signerlabs/ShipSwift. 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 signerlabs/ShipSwift?
    pass
    AI named signerlabs/ShipSwift explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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signerlabs/ShipSwift — 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