RRepoGEO

REPOGEO REPORT · LITE

tensorflow/swift-models

Default branch main · commit 9761087e · scanned 6/8/2026, 12:47:40 AM

GitHub: 649 stars · 150 forks

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 tensorflow/swift-models, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    swift, tensorflow, machine-learning, deep-learning, models, examples, differentiable-programming, archived
  • highreadme#2
    Reposition the README's opening to clarify its archived status and historical value

    Why:

    CURRENT
    # Swift for TensorFlow Models

Swift for TensorFlow was an experiment in the next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond. It was archived in February 2021.

This repository contains many examples of how Swift for TensorFlow can be used to build machine learning applications, as well as the models, datasets, and other components required to build them.
    COPY-PASTE FIX
    # Swift for TensorFlow Models (Archived)

This repository serves as the historical collection of models and examples built with Swift for TensorFlow, an experimental platform for machine learning that was officially archived in February 2021. It remains a valuable resource for understanding best practices and implementations from the Swift for TensorFlow project.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/tensorflow/swift

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 tensorflow/swift-models
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 1×
  2. Create ML · recommended 1×
  3. Swift for TensorFlow (S4TF) · recommended 1×
  4. Bender · recommended 1×
  5. Swift-AI · recommended 1×
  • CATEGORY QUERY
    What are good examples of machine learning models implemented in Swift?
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. Create ML
    3. Swift for TensorFlow (S4TF)
    4. Bender
    5. Swift-AI
    6. MLKit (Firebase)
    7. Turi Create

    AI recommended 7 alternatives but never named tensorflow/swift-models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which frameworks offer differentiable programming capabilities for Swift language development?
    you: not recommended
    AI recommended (in order):
    1. Swift for TensorFlow
    2. PythonKit
    3. TensorFlow
    4. PyTorch
    5. JAX
    6. Metal Performance Shaders Graph API

    AI recommended 6 alternatives but never named tensorflow/swift-models. 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 tensorflow/swift-models?
    pass
    AI named tensorflow/swift-models explicitly

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

  • If a team adopts tensorflow/swift-models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tensorflow/swift-models 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 tensorflow/swift-models solve, and who is the primary audience?
    pass
    AI did not name tensorflow/swift-models — 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 tensorflow/swift-models. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/tensorflow/swift-models.svg)](https://repogeo.com/en/r/tensorflow/swift-models)
HTML
<a href="https://repogeo.com/en/r/tensorflow/swift-models"><img src="https://repogeo.com/badge/tensorflow/swift-models.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

tensorflow/swift-models — 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