Ecommerce SEO
Category page optimisation
The job here is specific: make the pages that carry most commercial demand earn their position instead of listing products.
What does category page optimisation actually involve?
Make the pages that carry most commercial demand earn their position instead of listing products. In practice that means mapping which category and subcategory demand exists and which pages serve it, and then the harder half: adding buying guidance that answers the decision rather than describing the range.
Why this work exists
The work looks administrative from the outside. It decides how much of everything else actually lands.
This is one part of Ecommerce SEO, described separately because it is usually the first thing anybody needs.
The nearest piece of work to it is finding the point in the funnel where the mobile experience loses people. Where that is already handled, this moves faster than the estimate; where it is not, the two get done together or neither of them holds.
What good looks like
The test is whether somebody outside the team would reach the same conclusion from the same evidence. If they would not, this is not finished.
The gap between that and where most accounts start is why this is scoped as category page optimisation rather than as a line inside something larger. Making the breadcrumb reflect how the catalogue is actually organised is the usual second step once it is in place.
When this is the right work
What makes this the next piece of work:
- Category pages are a grid of products with a sentence of text
- Product pages outrank the category pages that should rank
- Subcategory demand exists with no page serving it
If none of those is true, something else is probably the constraint, and the Ecommerce SEO overview maps the alternatives. The usual neighbours are testing whether the product filter is usable with one thumb and deciding what happens to a URL when a product is renamed.
What the work covers
Set out as tasks:
- Mapping which category and subcategory demand exists and which pages serve it, usually the first thing to show a result, so it goes early.
- Adding buying guidance that answers the decision rather than describing the range. Skipped more often than any other part of this, and regretted more often too.
- Fixing titles, headings and internal links across the category tree, which changes often enough that a single pass has a shelf life.
- Handling pagination and sort so the crawl is not wasted. One pass is rarely enough; the second is much faster.
How it runs
Three stages, in this order, for the reason each one gives.
Costing the options
Where there is more than one route, each gets a rough cost and a rough timeline, so the choice is made on trade-offs rather than on whichever was described most confidently.
Removing before adding
The first pass takes things away. Adding to a setup nobody has pruned in two years makes the next person’s job harder, not easier.
Agreeing what failure looks like
The conditions under which this would be called off are written down at the start. It is uncomfortable and it prevents a year of drift.
What each part runs into
What gets in the way, part by part:
- Mapping which category and subcategory demand exists and which pages serve it, where a Indore engagement contends with a procurement step nobody accounted for
- Adding buying guidance that answers the decision rather than describing the range – working in London this means accounting for a measurement baseline that was never taken
- Fixing titles, headings and internal links across the category tree, and in Los Angeles the constraint on it is a language mix the content has to match rather than assume
- Handling pagination and sort so the crawl is not wasted, harder in Toronto because of an enquiry path that runs through a messaging app rather than a form
What goes wrong first
Dumping five hundred words of keyword text under the product grid. It helps nobody and reads as what it is.
The damage is less in the wasted work than in the conclusion it leads to.
How it is measured
Category page entry rate, organic revenue by category, and position for category terms. Agreed up front and reported every period, with the raw data available rather than only a summary.
It is checked against something outside the platform reporting it, at least once a quarter.
What you end up with
What arrives at the end of it: rebuilt category pages with real buying guidance, a corrected tree, and crawl rules for pagination and sort.
Formatted for whoever has to act on it rather than for whoever commissioned it.
How it differs by sector
Three sectors where this work looks materially different:
- For Home and trade services, emergency intent, service-area geography, and a phone that has to be answered. and that shapes how far this can go.
- B2B services brings its own limit: a buying committee, a long cycle, and attribution that has to survive both.
- SaaS and technology, constrained by the fact that product-led companies where the buyer self-educates and the trial is the sales call.
The industry pages carry the rest of that detail. Home and trade services and B2B services are the two where this piece of work most often decides the outcome.
Common questions
Where should category page text go, above or below the products?
Mostly below, with a short orienting paragraph above. The buyer came to see products, and pushing them below a wall of text costs conversion. The substantive guidance belongs under the grid where the buyer who needs help will scroll to it.
How deep should a category tree go?
As deep as there is distinct search demand and distinct inventory, and no deeper. A subcategory with six products and no search volume of its own should be a filter rather than a page. Every level adds click depth and dilutes the levels above it. If this is the part you came for, Is paid search better than SEO? goes further into it, and What is the difference between SEO and GEO? covers what sits either side.
What if we disagree with the diagnosis?
Then we look at the data together. Category page entry rate, organic revenue by category, and position for category terms is the test, and a finding that cannot survive being questioned is not a finding worth acting on. If budget allows only one of these, Local link building first, then Local pack ranking factors next quarter.
Does anything need doing before category page optimisation?
Sometimes. The signals above are the honest test, and where something upstream is the real constraint we will name it even though it is not the work on this page. Agentic Commerce for Ecommerce and retail is the shortest useful page on this. AI Automation and Workflows for Ecommerce and retail is the most complete.
Is there a minimum worth doing?
There is a point below which the measurement cannot detect a change, and we would rather say so than take the work. Category page entry rate, organic revenue by category, and position for category terms has to be able to move for the engagement to mean anything. There is more on this in Marketplace Marketing in Ahmedabad, and a different angle on it in Paid Social and Meta Ads in Ahmedabad.
Ask about category page optimisation
No brief needed. One paragraph about where you are stuck gets a specific answer back.
Find the constraint before funding the plan
Tell us what you have already tried. Knowing what failed narrows this down faster than anything else.