RRepoGEO

REPOGEO REPORT · LITE

rudrankriyam/Foundation-Models-Framework-Example

Default branch main · commit 3792dc50 · scanned 5/17/2026, 1:16:58 PM

GitHub: 1,005 stars · 65 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
28 /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
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 rudrankriyam/Foundation-Models-Framework-Example, 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 introduction to emphasize Apple's Foundation Models Framework and Swift

    Why:

    CURRENT
    This project includes playground examples organized by chapters to help you learn everything about Apple's Foundation Models framework. It is part of the Exploring Foundation Models book.
    COPY-PASTE FIX
    This project offers comprehensive, runnable examples for integrating and exploring Apple's Foundation Models Framework in Swift applications for iOS 26+ and macOS 26+. It serves as a practical companion to the Exploring Foundation Models book, demonstrating key concepts like on-device LLMs, RAG, and tool calling.
  • mediumhomepage#2
    Add TestFlight link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://testflight.apple.com/join/JWR9FpP3
  • lowabout#3
    Enhance the 'About' description for clarity

    Why:

    CURRENT
    Example apps for Foundation Models Framework in iOS 26 and macOS 26
    COPY-PASTE FIX
    Comprehensive example apps for learning and implementing Apple's Foundation Models Framework in Swift for iOS 26+ and macOS 26+.

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 rudrankriyam/Foundation-Models-Framework-Example
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. Hugging Face Transformers · recommended 2×
  3. transformers.js · recommended 1×
  4. apple/ml-ane-transformers · recommended 1×
  5. ml-explore/mlx · recommended 1×
  • CATEGORY QUERY
    How to implement on-device large language models in Swift applications?
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. Hugging Face Transformers
    3. transformers.js
    4. ml-ane-transformers (apple/ml-ane-transformers)
    5. MLX (ml-explore/mlx)
    6. Llama.cpp (ggerganov/llama.cpp)
    7. OpenAI's GPT-3.5/GPT-4
    8. Google's MediaPipe (google/mediapipe)
    9. Turi Create (apple/turicreate)

    AI recommended 9 alternatives but never named rudrankriyam/Foundation-Models-Framework-Example. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Swift examples of RAG and tool calling with local AI models.
    you: not recommended
    AI recommended (in order):
    1. Llama.cpp
    2. Core ML
    3. Faiss
    4. Swift-Transformers
    5. Hugging Face Transformers
    6. Ollama
    7. LangChain.swift
    8. LangChain

    AI recommended 8 alternatives but never named rudrankriyam/Foundation-Models-Framework-Example. 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 rudrankriyam/Foundation-Models-Framework-Example?
    pass
    AI named rudrankriyam/Foundation-Models-Framework-Example explicitly

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

  • If a team adopts rudrankriyam/Foundation-Models-Framework-Example in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rudrankriyam/Foundation-Models-Framework-Example 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 rudrankriyam/Foundation-Models-Framework-Example solve, and who is the primary audience?
    pass
    AI did not name rudrankriyam/Foundation-Models-Framework-Example — 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

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rudrankriyam/Foundation-Models-Framework-Example — 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
rudrankriyam/Foundation-Models-Framework-Example — RepoGEO report