RRepoGEO

REPOGEO REPORT · LITE

andrew-kramer-inno/claude-code-source-build

Default branch master · commit 03cebba4 · scanned 6/6/2026, 8:39:03 AM

GitHub: 592 stars · 526 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 andrew-kramer-inno/claude-code-source-build, 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
  • highreadme#1
    Reposition the README's opening to clarify the repo's purpose and key features

    Why:

    CURRENT
    # Claude Code 2.1.88 — Custom Build

Rebuilt from source maps with real source preservation for `@ant/*` packages.
    COPY-PASTE FIX
    # Claude Code 2.1.88 — Custom Build for Anthropic's Claude Application

This repository provides a custom build of the Claude application (version 2.1.88), meticulously rebuilt from source maps with real source preservation for `@ant/*` packages. It specifically enables advanced features like in-process computer use on macOS via native addons, offering a robust foundation for developers extending Claude's capabilities.
  • highabout#2
    Add a concise 'About' description for the repository

    Why:

    COPY-PASTE FIX
    Custom build of Anthropic's Claude application (v2.1.88) from source maps, enabling macOS native computer use features and preserving original source structure.

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 andrew-kramer-inno/claude-code-source-build
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Foundation
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Foundation · recommended 2×
  2. AppKit · recommended 2×
  3. CoreServices · recommended 2×
  4. FFI · recommended 2×
  5. danvk/source-map-explorer · recommended 1×
  • CATEGORY QUERY
    How to rebuild a JavaScript CLI application from source maps with real source preservation?
    you: not recommended
    AI recommended (in order):
    1. Source Map Explorer (danvk/source-map-explorer)
    2. Source-map (mozilla/source-map)
    3. JS-Beautify (beautify-web/js-beautify)
    4. sourcemaps.io
    5. Source Map Visualizer

    AI recommended 5 alternatives but never named andrew-kramer-inno/claude-code-source-build. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build CLI apps interacting with macOS native system features?
    you: not recommended
    AI recommended (in order):
    1. Swift
    2. Foundation
    3. AppKit
    4. CoreServices
    5. Objective-C
    6. Foundation
    7. AppKit
    8. CoreServices
    9. Python
    10. PyObjC (pyobjc/pyobjc)
    11. Rust
    12. objc (SSheldon/rust-objc)
    13. FFI
    14. Go
    15. cgo
    16. FFI

    AI recommended 16 alternatives but never named andrew-kramer-inno/claude-code-source-build. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 andrew-kramer-inno/claude-code-source-build?
    pass
    AI named andrew-kramer-inno/claude-code-source-build explicitly

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

  • If a team adopts andrew-kramer-inno/claude-code-source-build in production, what risks or prerequisites should they evaluate first?
    pass
    AI named andrew-kramer-inno/claude-code-source-build 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 andrew-kramer-inno/claude-code-source-build solve, and who is the primary audience?
    pass
    AI did not name andrew-kramer-inno/claude-code-source-build — likely talking about a different project

    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 andrew-kramer-inno/claude-code-source-build. 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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  • Brand-free category queries5 vs 2 in Lite
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