Should I optimise category pages or product pages first?

Categories, almost always. They target higher-volume non-branded queries and there are far fewer of them, so the effort concentrates. Product pages matter for long-tail and branded searches, which are valuable but smaller.

Does this differ between WooCommerce and Shopify?

The principles are identical; the implementation is not. WooCommerce gives you full control over URL structure and parameter handling. Shopify has fixed URL patterns you cannot change and handles collections differently, which constrains some options. We work in both and tell you where the platform limits what is possible.

My products are the same as every other reseller. Can I still rank?

Not on duplicated manufacturer copy, that is the hardest position in e-commerce SEO. The routes that work are genuine differentiation at category level, content the manufacturer does not provide, and reviews. It is slower and it should be said plainly rather than sold as easy.

How does this relate to Google Merchant Center?

They are separate systems that share a dependency: accurate product data. Clean structured data and consistent catalogue information help both organic search and your Shopping feed, so the work overlaps even though the platforms are distinct.

Part of SEO

eCommerce SEO: Architecture Before Content

An e-commerce site generates its own SEO problems as it grows. Every filter combination, every sort order, every out-of-stock product is a decision Google has to make about what to crawl and what to ignore.

Talk to us about this All SEO

What is eCommerce SEO?

eCommerce SEO is search optimisation for online stores, where the dominant problems are structural rather than editorial. A content site has a few hundred deliberate URLs; a store with faceted navigation can generate hundreds of thousands accidentally. The work centres on category architecture, controlling what filters produce, product-level structured data, handling out-of-stock and discontinued items, and making sure the pages that carry commercial intent are the ones receiving crawl attention and internal link equity.

The single biggest difference between e-commerce SEO and everything else is scale of accidental URLs. A store with eight filters across four categories can generate more crawlable combinations than it has products, and Google will spend its crawl budget on them unless told not to. Meanwhile the category pages that actually rank get visited once a fortnight.

The second difference is that category pages, not product pages, do most of the ranking work for non-branded queries. Most stores invest heavily in product descriptions and leave category pages as a bare grid with a title. That is the wrong way round for anything above the long tail.

Scope

What the work covers

Not a feature list. These are the areas where the work actually changes the outcome.

Category architecture

Categories built around how customers search rather than how your warehouse is organised. This is the highest-return decision in e-commerce SEO and it is difficult to change later, because the URLs are already indexed and linked. We map search demand to category structure before anything gets built.

Faceted navigation control

Deciding which filter combinations deserve a crawlable, indexable URL and which should be parameters Google never sees. Colour and size almost never deserve indexation; brand and material sometimes do, where the search demand exists. Getting this wrong produces either index bloat or missed opportunity, and both are common.

Category page content

Genuinely useful content on category pages (buying guidance, comparison, common questions) placed so it does not push products below the fold. A category page with three hundred words of real help outranks a bare product grid consistently, and most Indian D2C stores have the bare grid.

Product schema

Product markup with valid offers, price, availability and aggregate ratings where they genuinely exist. This drives rich results in search and is increasingly how AI shopping assistants read your catalogue. Marking up reviews you do not display is a guidelines violation, and we do not do it.

Out-of-stock and discontinued handling

What happens to a URL when the product goes. Deleting produces 404s and loses accumulated authority; leaving it up with no stock wastes crawl and frustrates users. The right answer depends on whether it is returning, and the strategy should be defined once rather than decided ad hoc.

Internal linking at scale

Related products, cross-category links and breadcrumb structures that push equity toward commercially important pages instead of spreading it evenly across a catalogue.

Duplicate product content

Manufacturer descriptions used verbatim across every retailer selling the same item. For resellers this is the core ranking problem, and the fix is genuine differentiation rather than spinning.

Site speed on template pages

Category and product templates are where speed matters most because they are where paid traffic lands. One slow template affects thousands of URLs.

How it runs

The sequence

In this order, because each step depends on what the previous one found.

01
Crawl and demand mapping

We crawl the full catalogue, pull Search Console data by page type, and map keyword demand against your existing category structure. The gaps between the two are the plan.
02
Fix the crawl economy

Parameter handling, faceted navigation rules, pagination, and consolidation of duplicate URLs. This frees crawl budget for the pages that earn money.
03
Build out categories

Content, internal linking and schema on the category pages that carry the most commercial demand, in priority order.
04
Product-level work and monitoring

Schema, descriptions where they are duplicated, and an out-of-stock policy applied consistently. Then ongoing monitoring, because a growing catalogue reintroduces problems continuously.

What you receive

Deliverables

Category architecture map

Search demand mapped to category structure, with recommended changes and the redirect plan if URLs need to move.

Faceted navigation specification

Which filter combinations are indexable, which are parameters, and how it is implemented on your platform.

Product and category schema

Valid structured data deployed per template and validated.

Prioritised category build-out

Content and internal linking on the categories with the most commercial demand.

How this is scoped and charged

eCommerce SEO runs as a monthly retainer, because catalogue changes generate new work continuously. The initial architecture and crawl-economy work is front-loaded and typically takes the first two months. We scope after crawling the site, a two-hundred-product store and a five-thousand-product store are genuinely different engagements and quoting before seeing the catalogue would be guesswork.

See indicative pricing

FAQ

Questions we get asked about this

Categories, almost always. They target higher-volume non-branded queries and there are far fewer of them, so the effort concentrates. Product pages matter for long-tail and branded searches, which are valuable but smaller.
The principles are identical; the implementation is not. WooCommerce gives you full control over URL structure and parameter handling. Shopify has fixed URL patterns you cannot change and handles collections differently, which constrains some options. We work in both and tell you where the platform limits what is possible.
Not on duplicated manufacturer copy, that is the hardest position in e-commerce SEO. The routes that work are genuine differentiation at category level, content the manufacturer does not provide, and reviews. It is slower and it should be said plainly rather than sold as easy.
They are separate systems that share a dependency: accurate product data. Clean structured data and consistent catalogue information help both organic search and your Shopping feed, so the work overlaps even though the platforms are distinct.

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