Introduction to Machine Learning for SEO
- Practical: 404 and Redirect mapping with fuzzy matching
- What is ML fuzzy string matching?
- Marketing and SEO Implementations of fuzzy matching
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Search & SEO Concepts
In shortMatching every old or broken URL to its best live equivalent and setting redirects, so users and search engines reach the right page after changes.
Redirect mapping is the process of pairing each old URL with the most relevant new or live URL, then implementing redirects (usually 301s) between them. It is a core task in site migrations, URL restructures, content pruning and 404 clean-ups. Good mapping preserves user journeys, link equity and search visibility; poor mapping, such as sending everything to the homepage, loses them.
In MLforSEO’s 404 and redirect mapping tutorial, broken URLs and live URLs are compared in Google Colab with several Python libraries, such as FuzzyWuzzy, RapidFuzz and PolyFuzz. Each broken URL gets its closest live match and a similarity score. An old URL like /blog/2019/seo-tips-for-beginners matches /blog/beginner-seo-tips with a high score, so it goes straight into the redirect list; low-scoring pairs are reviewed by hand.