What Data Science Can Do for Site Architectures
Beyond Python, here’s how you can use data science strategies to uncover hidden patterns and insights to boost rankings.
About
Andreas Voniatis is the Founder of Artios, the SEO consulting firm that helps startups grow organically. His experience spans over 20 years and he is a published author of “Data Driven SEO.” Andreas started life as a qualified accountant before falling in love with SEO, data science and cloud engineering many years ago. Andreas has since helped many startups and household names including Amazon, Lyst, Trivago, HSBC, Warner Bros, ON24, Gamesys and many others.Articles
Competitor Backlink Analysis With Python [Complete Script]
Take a deep dive into automating the analysis of competitor backlink profiles with this Python script from Andreas Voniatis.
How To Visualize & Customize Backlink Analysis With Python
From link quality to age, Python enables you to analyze and evaluate backlinks in different ways from simple spreadsheets or backlink tools.
Visualizing Google Core Update Winners & Losers With Python
See how Python is used step-by-step to compare SERPs and visualize the winners and losers from a Google core update.
How To Automate SEO Keyword Clustering By Search Intent With Python
The process of SEO keyword research can be made quicker, more accurate, and more scalable with Python. Here’s what you need to know.
A Data Science Approach To Optimizing Internal Link Structure
Improve your technical SEO with this data-driven approach to internal linking, including a step-by-step process for modeling the distribution of internal links by site depth.
How to Use Python to Forecast Demand, Traffic & More for SEO
Forecasting can offer great value in SEO. Here’s how to get data-driven answers about possible trends in organic search using Python.
How to Use Machine Learning for SEO Competitor Research
Learn how to use machine learning for more precise, statistically relevant, and scalable SEO competitor research (with tools, code & more).