Resource Library

A curated collection of Google Sheets templates, each integrated with Google AppScript, specifically designed for task automation through the use of machine learning APIs. These templates are great for beginners, providing an accessible entry point into the world of machine learning without the need for advanced coding skills. Users can easily adapt these templates to leverage the power of machine learning to enhance their organic marketing strategies efficiently.

02

Looker Studio Dashboard Templates

A selection of Looker Studio templates, designed to connect with the MLforSEO’s Google Sheets templates. These dashboards are crafted to offer a quick, intuitive way for you to visualize and interpret the data derived from their machine learning task automation. Perfect for beginners and experts alike, each template is ready to use, facilitating the creation and sharing of comprehensive reports.

03

Coding Scripts and Notebooks

A repository of Python scripts and Google Colab notebooks, designed to guide you through the step-by-step implementation of more complex tasks in machine learning. With detailed commentary accompanying each step, these resources are ideal for those looking to deepen their understanding of working with large datasets and various data types. Each script and notebook is crafted to be both reusable and scalable, ensuring users can adapt them to their specific needs.

04

Courses

Dive into machine learning with our online courses, designed for digital and organic search marketers. All courses are suitable for beginners, and offer not only practical machine learning tips but also implementation guidance, so you can make the most of ML-generated insights in your strategy. Learn at your own pace with easy-to-follow lessons that take your from zero-to-hero on a given topic or suite of tools.

Browse courses and start learning

05

Academy Lessons

Our academy lessons are designed to save you time. They combine multiple tutorials, implementation guides, and expert commentary into one, helping you to complete a specific machine learning project quicker. Access to the academy also grants you access to select course lessons and templates.

Coming in 2026

06

Podcast w/ Expert Interviews

Join Lazarina as she discusses machine learning, data science and AI with experts. Learn about the challenges of implementation, productisation, and scaling with machine learning.

Coming in 2026

07

Subscribe to our newsletter for your weekly dose of ML/AI news, trends, insights, exclusive content highlights, automation hacks, and the best of AI/ML SEO from our hub and the web.

08

Slack Community

Join a community of organic search marketers, enthusiastic about machine learning.

Join us on Slack

Machine Learning in SEO – Resource & Templates Hub

Resource Library

Entity Analysis with with Google Cloud Natural Language API (No-Code Template)

Looker Studio Text Classification Dashboard Template with Interactive Category Visualization and Hierarchical Analytics

LLM Citation Tracking: 4 Step Implementation Guide

Knowledge Graph Foundation – Step 1 Template

Knowledge Graph Implementation Guide

Schema Entity Audit Template

Entity Relationship Planning Workbook

IBM Watson NLU Complete API Implementation Template for Multi-Feature Text Analysis (Notebook)

IBM Watson NLU Sentiment and Emotion Analysis Template for Google Sheets with Multi-Dimensional Affect Detection

Google Sheets Text Classification Template with Google Cloud Natural Language API for Automated Content Categorization

Google Sheets Syntax Analysis Template with Google Cloud Natural Language API for Grammatical Structure Parsing

Google Sheets Content Moderation Template with Google Cloud Natural Language API for Toxic Content Detection

Sentiment Analysis No-code Template with Google Cloud Natural Language API

Comprehensive Content Brief Template with Data Source Mapping for Semantic Keyword Research Implementation

Identifying Desired Content Formats & Platforms from SERP Data (Lab Notebook)

Map Keywords to Topics: Supervised (sBERT + Fuzzy) vs. Unsupervised (BERTopic) (Notebook)

Knowledge Graph API Extraction and Entity Relationship Analysis for Semantic Keyword Research (Notebook)

Transitioning from Traditional to Semantic Keyword Universe (Checklist)

Multi-Platform Autocomplete Keyword Research with Google Search, YouTube, and Places APIs (Notebook)

Fuzzy Matching: Map Keywords to Seed Terms or Topics (Notebook)

Calculating Semantically Similar Terms with Fuzzy Matching for Keyword Clusers (Notebook)

Mapping 404 URLs to Live Pages with Fuzzy Matching (Guide)

Automated Redirect Mapping with Triple Fuzzy Matching for Site Migrations (Notebook)

Comprehensive String Matching & Fuzzy Matching Reference Guide for SEO Applications: Use Cases, Approaches, Models

ML-Powered Internal Linking Opportunity Discovery with LinkBERT

Fuzzy Matching for Content Gap Analysis & Competitive Opportunity Identification

Customer Reviews Semantic Analysis: Looker Studio Template

Comprehensive Customer Review Semantic Analysis with Google Cloud NLP & IBM Watson NLU

Advanced Entity Analysis with Multiple ML Techniques for Semantic Keyword Research

Extracting Entities with Google Cloud Natural Language API in Python (Tutorial)

Entity Analysis & Relationship Mapping with IBM Watson NLU in Google Colab

Entity & Sentiment Analysis APIs: Comparative Review

Complete Guide to Entity Extraction & Sentiment Analysis: Marketing and SEO Use Cases

BERTopic: Benefits and Limitations

Web Content Clustering: Topic Modeling with BERTopic (Notebook)

Web Content Clustering: Topic Modeling with LDA (Notebook)

KeyBERT for SEOs: Google Colab Template

Complete Guide to ML Clustering for Marketing & SEO: Use Cases & Model Choices

Text Classification in Google Sheets with Google Cloud Natural Language API

Keyword Cluster (KeyBERT) Looker Studio Demo Visualization Dashboard for SEO

Text Classification with Google Cloud Natural Language API in Python (Google Colab Notebook)

Complete Guide Understanding ML Classification for Marketers: Marketing Use Cases & Model Choices

When to use Machine Learning in SEO – Decision Checklist

ML Data Characteristics Mapped to SEO & ML Tasks (Guide)

01

Google Sheets Templates

02