RRepoGEO

REPOGEO REPORT · LITE

CharlesWiltgen/Axiom

Default branch main · commit 62709796 · scanned 5/31/2026, 2:53:10 PM

GitHub: 935 stars · 72 forks

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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    apple-development, ios, ipados, watchos, tvos, swift, xcode, ai-coding-assistant, claude-code, generative-ai, debugging, performance-analysis, memory-leaks
  • mediumreadme#2
    Add a comparison section to differentiate from traditional tools

    Why:

    COPY-PASTE FIX
    ## How Axiom Differs from Traditional Tools

Axiom is designed to augment AI coding assistants, providing them with deep Apple platform expertise to prevent common issues and accelerate development. It does not replace traditional tools like SwiftLint for static analysis, Instruments for detailed performance profiling, or Sentry/Firebase Crashlytics for crash reporting. Instead, Axiom empowers your AI assistant to effectively *use* and *interpret* the output from these tools, or to proactively identify issues that these tools might later flag.

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
0%
Of all named tools, what % are you?
Top rival
SwiftLint
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SwiftLint · recommended 2×
  2. Firebase Crashlytics · recommended 1×
  3. Sentry · recommended 1×
  4. Instabug · recommended 1×
  5. Xcode's Built-in Static Analyzer · recommended 1×
  • CATEGORY QUERY
    How can AI assist with debugging common issues in iOS app development?
    you: not recommended
    AI recommended (in order):
    1. Firebase Crashlytics
    2. Sentry
    3. Instabug
    4. SwiftLint
    5. Xcode's Built-in Static Analyzer
    6. SonarQube
    7. New Relic Mobile
    8. Datadog RUM
    9. AppDynamics Mobile RUM

    AI recommended 9 alternatives but never named CharlesWiltgen/Axiom. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools help identify performance and memory issues in Swift projects?
    you: not recommended
    AI recommended (in order):
    1. Instruments
    2. Xcode Debugger
    3. Xcode's Static Analyzer
    4. SwiftLint
    5. Periphery

    AI recommended 5 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?

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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