RRepoGEO

REPOGEO REPORT · LITE

MacPaw/OpenAI

Default branch main · commit 35ff1a5a · scanned 6/28/2026, 11:11:14 AM

GitHub: 2,917 stars · 511 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
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 MacPaw/OpenAI, 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's opening to highlight multi-provider support

    Why:

    CURRENT
    # OpenAI

This repository contains Swift community-maintained implementation over OpenAI public API.
    COPY-PASTE FIX
    # OpenAI Swift API Client (Multi-Provider Support)

This repository provides a Swift community-maintained implementation for the OpenAI public API, with extensible support for other large language model providers.
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Your project's official homepage or documentation URL, e.g., Swift Package Index page]
  • mediumtopics#3
    Expand repository topics to include broader LLM and multi-provider terms

    Why:

    CURRENT
    ai, openai, openai-api, spm, swift, swiftpackagemanager
    COPY-PASTE FIX
    ai, openai, openai-api, spm, swift, swiftpackagemanager, llm, generative-ai, multi-provider, api-client

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 MacPaw/OpenAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 2×
  2. OpenAI API · recommended 1×
  3. Google Gemini API · recommended 1×
  4. Hugging Face Inference API · recommended 1×
  5. ml-explore/mlx · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language model capabilities into my Swift application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Gemini API
    3. Hugging Face Inference API
    4. Core ML
    5. MLX (ml-explore/mlx)
    6. Anthropic Claude API
    7. Mistral AI API

    AI recommended 7 alternatives but never named MacPaw/OpenAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Swift library helps manage AI image generation and audio transcription tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Swift Library (openai/openai-swift)
    2. AWS Amplify (aws-amplify/amplify-swift)
    3. Amazon Transcribe
    4. Google Cloud SDK for Swift
    5. Google Cloud Speech-to-Text
    6. Azure SDK for Swift
    7. Azure Speech-to-Text
    8. Hugging Face Transformers.swift (huggingface/swift-transformers)
    9. Core ML

    AI recommended 9 alternatives but never named MacPaw/OpenAI. 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 MacPaw/OpenAI?
    pass
    AI named MacPaw/OpenAI explicitly

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

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