Google Search Console Regex Filter: When to Use It
About 16 minutes
Before we learn to write any regex in Search Console, there's something more important to understand first.
You could go through this course, memorize 20 or 30 ready-made regex patterns, and every time you need to know something about your queries or pages, open the file and copy one.
The problem is that the first time you need an analysis that's a bit different from the examples you memorized, you'll get stuck.
And that's not where we want to get to.
The goal of this course is that when you look at Search Console data and ask a new question, you can think:
Only then do you start thinking about regex.
So from the start of the course to the end, we'll go the opposite way from most tutorials.
We won't start from the symbols and ask: "what does this symbol do?" We'll start from an SEO problem and ask: "what do I need to know?" Then we learn only the part of regex that helps us answer the question.
Let's start from Search Console itself
Say your Search Console has these queries:
- iphone 17
- iphone 17 price
- how much is the iphone 17 in the us
- buy iphone 17 on monthly payments
- best place to buy iphone 17 in the us
- iphone 17 pro max
- what is the price of the iphone 17 pro max in the us
Looking at them, you could ask dozens of questions. For example:
- I want the queries with the word price in them.
- I want the queries about buying.
- I want every query with a number in it.
- I want the long queries.
- I want the queries made of 7 words or more.
- I want the queries that start with a question.
- I want the queries with the product name in them.
- I want to leave out the brand name and see the rest.
Notice that every one of these questions works on the same data, but each time you're asking for a different part of it.
And that's exactly where regex comes in.
Regex doesn't analyze the data for you
This is the first very important rule. Regex isn't a tool that understands SEO.
It won't look at "buy iphone 17 on monthly payments" and say: "that's a commercial intent query." It has no idea what commercial intent even means. You're the one who gives it a rule.
For example, you tell it: "give me any query with buy, price or cost in it." It just carries out the rule.
Then you, as the SEO, say: "I can use this group as a segment for commercial queries." The difference matters.
And we'll come back to that point a lot during the course.
Think of Search Console as one big table
If you're new to this, don't think of Search Console as an interface with charts and numbers.
Just picture it as a huge table:
| Query | Clicks | Impressions | CTR | Position |
|---|---|---|---|---|
| iphone 17 | 100 | 5000 | 2% | 7 |
| iphone 17 price | 70 | 2100 | 3.3% | 5 |
| how much is the iphone 17 in the us | 25 | 400 | 6.2% | 3 |
| buy iphone 17 on monthly payments | 18 | 350 | 5.1% | 4 |
You have thousands of rows. And you don't need to see the whole table every time.
Sometimes you want to say: "show me the rows that match a particular rule." That's the whole idea.
Regex is a slightly more advanced way of describing that rule.
Before regex, you have a question
Let's fix a rule we'll use in every lesson:
- 1An SEO question
- 2What data do I need?
- 3What does it have in common?
- 4Is a normal filter enough?
- 5If not, can I describe the shape with regex?
- 6Build the simplest pattern possible
- 7Predict the result
- 8Test
- 9Analyze the data
Focus on the first step.
Because if you start from regex, you'll find yourself looking for a use for the tool instead of using the tool to solve a problem.
A very simple example
You have:
- iphone price
- samsung price
- iphone cost
- buy iphone
- best iphone
And you want: "the queries with price in them."
Here you can use a normal filter. You don't need regex at all.
If you use regex when "contains" is enough, you're complicating the problem for no reason.
And that's a second very important rule:
We're not learning regex to use it for everything. We're learning it so that when the normal filters aren't enough, we have a more powerful tool.
When does regex really start to help?
Let's change the question.
Instead of: "give me the queries with price in them."
You want: "give me the queries with price, prices, cost or how much in them."
Now you have more than one option. Instead of a separate filter for each word, you can build one pattern that brings them together.
But that's still not the most powerful part. Let's make the question harder.
What if you don't even know the words?
Say the question is: "I want to see every query made of 7 words or more."
Now things are different. You don't know the words. And you don't even care what they're about.
You're looking for a particular shape. For example:
- iphone 17
- how much is the iphone 17 in the us
- what is the price of the iphone 17 pro max in the us
The first is short, the second is longer, and the third is clearly longer still.
Here you're not telling Search Console: "look for a particular word." You're telling it: "look for a query shaped like a certain number of words."
And that's the real heart of regex.
So what's a pattern, anyway?
Don't let the word scare you. A pattern simply means a shape, or a rule that repeats.
For example:
- iphone 15
- iphone 16
- iphone 17
- iphone 18
The queries are slightly different, but there's a clear shape: iphone + a number.
That's a pattern. Another example:
- iphone price
- samsung price
- xiaomi price
The shape: a product name + price.
Another example:
/how-to-use-python//how-to-learn-seo//how-to-fix-404/
These are different URLs, but they all start with the same part.
Throughout the course, we'll learn how to turn that kind of observation into a rule Search Console can use.
Don't try to write a big regex the first time
This is a very important mistake.
Say you want the queries about buying, prices, discounts and comparisons.
You might get excited and build one huge regex straight away. Then you open it a week later and can't understand why you wrote it.
The way we'll work is different. Start with the smallest part of the problem.
For example: "first, I want the queries with price in them." Make sure it works.
Then: "add cost." Make sure. Then: "add buy." And so on.
So we build the pattern piece by piece. The same idea we use when learning Python.
We don't write a big program the first time and then claim it works.
We build a step, look at the output, then add the next step.
Don't trust a regex because it returned results
This is one of the most important points in the whole lesson.
You might write a regex. And it runs. And it returns 500 queries. That doesn't mean the regex is right.
It might have brought back things you don't want. And it might have left out things you need.
There are two concepts here that we'll meet throughout the course.
False positive
A result that showed up, but you didn't want it.
For example: you made a pattern for price queries, but it brought back a query that has nothing to do with price. That's an extra result.
False negative
A result that should have shown up, but didn't.
For example, you have the query "iphone 17 cost", and you made a pattern for price words, but you forgot to add cost. You've lost that query.
Which means the way you test matters as much as writing the regex.
Before you run a regex, predict the result
We'll do this throughout the course. For example, we have:
- iphone price
- buy iphone
- iphone 17
- iphone cost
- best iphone
And you built a pattern whose goal is: "price or cost." Before you run it, ask yourself:
Should appear:
- iphone price
- iphone cost
Should not appear:
- buy iphone
- iphone 17
- best iphone
Only then do you run it.
If the result is different from your prediction, there's something you need to understand. Don't skip past it and say: "what matters is that it ran."
Regex makes a segment, and then your real work begins
Say you managed to pull out: "every query made of 7 words or more."
Great. Is the analysis done? No. You've only made a segment.
Now the important questions start:
- How many impressions come from these queries?
- How many clicks?
What's the CTR like?- Did they grow compared with the previous period?
- Which pages do they show up on?
- Do certain pages pick up more long-tail queries than others?
- After improving the content, did the site start showing up for longer, more specific queries?
This is where the SEO starts. So the full path isn't just regex, but:
- 1Question
- 2Regex
- 3Segment
- 4Metrics
- 5Comparison
- 6Interpretation
- 7Decision
And that's the mindset we'll use throughout the course.
A full example, our way of thinking
Say you updated a group of articles two months ago.
Instead of saying: "I want a nice regex to try."
Start with the real question: "after the update, did the articles start showing up for longer, more specific queries?"
Now let's take the question apart.
- 1We need queries
- 2We care about query length
- 3We could set, say, 7 words or more as a segment to track
- 4We compare the period after the update with the period before it
- 5We look at impressions, clicks, CTR and the pages that showed up
Regex is just one small step in the middle of the analysis here.
But if you start from regex without the original question, you might build a lovely filter with no value at all.
Regex isn't artificial intelligence
Let's make this point clearer. Say you have:
- best iphone for photography
- iphone 17 price
- iphone vs samsung
- buy iphone
If you made a pattern that looks for:
- price
- buy
- vs
and you grouped the results and called them commercial queries, you need to understand what you did.
You didn't ask regex to "understand the searcher's intent". You told it: "look for particular words." You're the one who decided that those words are a useful signal for the analysis.
Which means a segment needs a human review, especially if you're going to base an important decision on it.
Search Console itself isn't the whole truth
You need to know this from the start, so we don't build an analysis that's mathematically sound but rests on a wrong assumption.
Search Console data is very powerful, but that doesn't mean you're seeing every query anyone searched that the site showed up for. Some queries may not appear in the data you're given.
So if you made a regex for queries of 10 words and got 83 queries, don't say: "the site only showed up for 83 long queries."
More accurate: "in the Search Console data available to me, 83 queries matched the condition."
The sentences look close, but the thinking is very different.
And every time we analyze something from here on, we'll separate what we see in the data from what we know for certain about the whole site.
Don't use regex to prove you know regex
During the course you'll meet patterns that look clever. And often you can solve the same problem a simpler way.
Pick the simpler one. If "contains" solves the problem, use "contains".
If two clear filters are easier than one very complex regex, use the two filters.
If a regex with 3 parts solves the problem, don't write one with 14.
We're not in a contest over who writes the most complex pattern. We want to reach the right data with as little complexity as possible.
The mindset I want you to leave this lesson with
When you open Search Console after today, even before you need to write any regex, ask yourself, in order:
- 1
What do I want to know? (Not: what do I want to use regex for?) - 2
Which data do I need to isolate? (Queries? Pages? A particular part of the data?) - 3
What does it have in common? (A word? A particular start? A number of words? A number? A URL path?) - 4
Is a normal filter enough? If yes, that's it. - 5
If I need regex, what's the simplest pattern that does the job? Start small. - 6Which results do I expect? Pick examples that must appear and examples that must not.
- 7Is the result really right? Check for false positives and false negatives.
- 8And once I have the segment, what will I do with it?
That's the most important step. Because the goal isn't pulling out the data.
The goal is that the data helps you understand something or make a better SEO decision.
No regex allowed in this exercise. We don't need it yet.
You have this data:
- iphone 17
- iphone 17 price in the us
- how much is the iphone 17 pro in the us
- buy iphone 17 on monthly payments
- best iphone for photography
- iphone 17 vs samsung s26
- what is the best iphone for photography in 2026
- iphone 17 pro max 256 gb price
I just want you to think.
Question 1: If I want the queries about price, what do they have in common that I could search for?
Question 2: If I want the long queries, do I even need to know the words in them? Why?
Question 3: If I want the queries with a model or a year in them, what pattern do you notice?
Question 4: If I want to compare the performance of queries of 7 words or more before and after a content update, where does regex's job end? And what do you need to do after it?
Question 5: If I want just one particular query, does it make sense to start with a complex regex? Explain your decision.
A mindset check
Before you start the next lesson, you should be able to answer this in your own words:
What is regex in Search Console?
I don't want a textbook definition. I want you to understand that:
And if you really understand that sentence, the coming lessons will be much easier.
Because from the next lesson, we start the first real technical step.
But every time we learn a new symbol, we'll come back to the same question:
Well done, you reached the end of the lesson.