REPOGEO REPORT · LITE

CharlesWiltgen/Axiom

Default branch main · commit 29f8d11a · scanned 7/1/2026, 7:58:11 AM

GitHub: 1,007 stars · 76 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 CharlesWiltgen/Axiom, 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 the README's opening sentence to clarify its purpose for AI assistants

Why:

CURRENT

# Axiom

Battle-tested skills, agents, and tools for modern Apple OS development — Swift 6, SwiftUI, Liquid Glass, Apple Intelligence, and more. Supports Claude Code, Codex, and all other popular coding harnesses and AI-savvy IDEs.

COPY-PASTE FIX

# Axiom

AI-powered skills, agents, and tools for modern Apple OS development — Swift 6, SwiftUI, Liquid Glass, Apple Intelligence, and more. Axiom gives Claude Code, Codex, and other AI coding assistants deep expertise in xOS (iOS, iPadOS, watchOS, tvOS) development.

hightopics#2

Add relevant topics to improve categorization

Why:

CURRENT

(none)

COPY-PASTE FIX

ai-assistant, apple-development, ios, swift, swiftui, claude-code, xcode, memory-leaks, performance-profiling, ui-testing, crash-analysis, apple-intelligence

mediumreadme#3

Add a 'Who is this for?' section to explicitly state the target audience

Why:

COPY-PASTE FIX

## Who is Axiom for?

Axiom is designed for Apple OS developers (iOS, iPadOS, watchOS, tvOS) who use AI coding assistants like Claude Code or Codex. It empowers your AI assistant with specialized knowledge and tools to tackle complex native development challenges, from preventing memory leaks to automating UI tests and analyzing crashes.

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 CharlesWiltgen/Axiom

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Xcode Instruments

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Xcode Instruments · recommended 1×
Android Studio Profiler · recommended 1×
Valgrind · recommended 1×
Clang Static Analyzer · recommended 1×
PurifyPlus (IBM Rational PurifyPlus) · recommended 1×

CATEGORY QUERY
What AI tools can help prevent memory leaks and improve performance in native app development?
you: not recommended
AI recommended (in order):
1. Xcode Instruments
2. Android Studio Profiler
3. Valgrind
4. Clang Static Analyzer
5. PurifyPlus (IBM Rational PurifyPlus)
6. AddressSanitizer (ASan) / LeakSanitizer (LSan)
7. Visual Studio Diagnostic Tools
AI recommended 7 alternatives but never named CharlesWiltgen/Axiom. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking AI assistant integrations for automated UI testing and crash analysis in app development.
you: not recommended
AI recommended (in order):
1. Applitools Eyes
2. Testim.io
3. Sauce Labs
4. Firebase Crashlytics
5. Sentry (getsentry/sentry)
6. Cypress (cypress-io/cypress)
7. Percy
8. HeadSpin
AI recommended 8 alternatives but never named CharlesWiltgen/Axiom. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 CharlesWiltgen/Axiom?
pass
AI named CharlesWiltgen/Axiom explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts CharlesWiltgen/Axiom in production, what risks or prerequisites should they evaluate first?
pass
AI named CharlesWiltgen/Axiom 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 CharlesWiltgen/Axiom solve, and who is the primary audience?
pass
AI named CharlesWiltgen/Axiom 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 CharlesWiltgen/Axiom. 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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MARKDOWN (README)

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CharlesWiltgen/Axiom — 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