Regex is a powerful – yet overlooked – tool in search and data analysis.
With just a single line, you can automate what would otherwise take dozens of lines of code.
Short for “regular expression,” regex is a sequence of characters used to define a pattern for matching text.
It’s what allows you to find, extract, or replace specific strings of data with precision.
In SEO, regex helps you extract and filter information efficiently – from analyzing keyword variations to cleaning messy query data.
But its value extends well beyond SEO.
Regex is also fundamental to natural language processing (NLP), offering insight into how machines read, parse, and process text – even how large language models (LLMs) tokenize language behind the scenes.
Regex uses in SEO and AI search
Before getting started with regex basics, I want to highlight some of its uses in our daily workflows.
Google Search Console has a regex filter functionality to isolate specific query types.
One of the simplest regex expressions commonly used is the brand regex brandname1|brandname2|brandname3, which is very useful when users write your brand name in different ways.
Google Analytics also supports regex for defining filters, key events, segments, audiences, and content groups.
Looker Studio allows you to use regex to create filters, calculated fields, and validation rules.
Screaming Frog supports the use of regex to filter and extract data during a crawl and also to exclude specific URLs from your crawl.
Google Sheets enables you to test whether a cell matches a specific regex. Simply use the function REGEXMATCH (text, regular_expression).
In SEO, we’re surrounded by tools and features just waiting for a well-written regex to unlock their full potential.
Regex in NLP
If you’re building SEO tools, especially those that involve content processing, regex is your secret weapon.
It gives you the power to search, validate, and replace text based on advanced, customizable patterns.
Here’s a Google Colab notebook with an example of a Python script that takes a list of queries and extracts different variations of my brand name.
You can easily customize this code by plugging it into ChatGPT or Claude alongside your brand name.
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How to write regex
I’m a fan of vibe coding – but not the kind where you skip the basics and rely entirely on LLMs.
After all, you can’t use a calculator properly if you don’t understand numbers or how addition, multiplication, division, and subtraction work.
I support the kind of vibe coding that builds on a little coding knowledge – enough to use LLMs effectively, test what they produce, and troubleshoot when needed.
Likewise, learning the basics of regex helps…
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