Introducing Query Count in Macalytics

Written by

Dr. Ian Read

September 23, 2025

2 min read

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One of the clearest signals that SEO is working is growth in the number of queries your site ranks for – especially in the top positions. To make this easier to track, we’re rolling out a new feature in Macalytics: Query Count.

This feature gives you a reliable way to measure ranking coverage and segment it by the dimensions that matter most for eCommerce growth.

How it works

Every search query is assigned to the page that ranks highest for it. If a keyword triggers multiple pages, only the top result is counted - avoiding duplication and noise.

We then segment these queries across three critical dimensions:

• Page type - product, collection, blog, homepage, etc.

Branded vs non-branded - to understand dependency on your own brand terms versus wider category visibility.

• Position bands - top 3, top 10, and beyond.

This layered view makes it possible to cut through the complexity of large catalogues and focus on where you’re truly building ranking strength.

Why this matters

SEO is rarely about a single keyword. Strong performance comes from thousands of small improvements across many queries. Query Count helps reveal whether those incremental changes are translating into broader visibility.

• More ranking queries in top positions → clear evidence of SEO progress.

• Segmentation by brand and page type → clarity on whether growth is coming from commercial terms, not just informational content.

• Position bands → context on how rankings are moving from page two into competitive top spots.

And with the recent changes in how Google Search Console presents data, this becomes more important than ever. Search Console now aggregates and filters in ways that can mask query-level performance. Query Count cuts through this by providing a clean, consistent view of how many queries your site is winning visibility for, and where.

Beyond measurement

This feature is also a precursor to the new Insights layer in Macalytics. Soon, you’ll not only see query coverage, but also get automated context on what it means for your store - and where to act next.

As with everything in SEO, it’s about consistent iteration in the right direction. Query Count makes that progress visible.

Dr. Ian Read - Chief Technology Officer

Ian has over 25 years of software engineering experience, along with a Ph.D. in machine learning and natural language processing. He has also worked with organisations including McKinsey, McLaren and UK Parliament.