How many URL combinations could your filters create?

Calculate potential combinations

Enter the number of selectable options for each filter dimension. For example, a category with four colours, five materials and three sizes has three dimensions. The result includes every non-empty selection of these dimensions, assuming a choice of one option or none for each dimension.

How to interpret the number

For four colour options, the model has five states: each colour and 'none selected'. Multiply those states across attributes and subtract one for the completely unfiltered state. This is a combinatorics exercise. Real storefronts can expose fewer URLs because combinations are invalid, options are linked differently or parameters do not create stable addresses. They can also expose more routes through sorting, pagination, ranges and multiple selections.

Before changing robots rules, export real filter URLs, group them by buyer intent and identify which products depend on those paths for discovery. A durable, curated collection can justify a page; a temporary sort or price state usually serves a different purpose. A result here is never an estimate of search traffic, Google crawl budget or rankings.

A usable next action

Run a crawl against one actual category. Group the URLs by filter type, then check response status, links, canonical and whether the page adds independent buying value. The catalogue filter decision worksheet records these choices and the release evidence required.

Official technical reference: Google's faceted navigation crawling guide. The formula above is independently calculated locally in your browser and does not submit data to a third party.