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SEO
E-commerce SEO
Category, product and content optimization that wins search and AI-answer visibility for stores.
Overview
What we do & why it matters
E-commerce SEO is a different game — faceted navigation, product schema, category architecture and content that supports both discovery and conversion. We make your catalog rank and get recommended by AI shopping assistants.
What’s included
- Category & faceted-navigation architecture
- Product & collection optimization
- Product schema & rich results
- Content hubs & buying guides
- Technical crawl-budget control
- Merchandising-aware SEO
Part of our SEO engagement · from transparent pricing.
Where the money is
Category and filter pages carry the revenue.
Product pages convert, but category and filtered pages are where non-brand demand lands. On most stores those pages are a grid with a sentence of text — which is why marketplaces outrank them for exactly the queries with purchase intent.
Indexable filter combinations
Decide deliberately which facet combinations deserve a page, and give those pages copy, internal links and their own titles.
Guidance on the category
Sizing, compatibility, materials, trade-offs — the questions asked before choosing. This is what a grid of thumbnails cannot answer.
Inventory lifecycle
Rules for out-of-stock, discontinued and seasonal products decide whether accumulated authority survives or leaks.
Unique product content
Feed descriptions are shared with every competitor using the same feed. Your own sections are the only differentiated part of the page.
Do this in order — architecture, then category content, then products — because product work on a broken architecture gets buried under near-duplicate URLs.
Work plan
How we approach a catalogue.
Architecture
Category pages do the ranking, product pages do the converting
Most e-commerce SEO effort goes into product pages, which compete against the manufacturer and every other retailer selling the same item. The pages that can actually win are the category and filtered pages, and they are usually the ones nobody has written a word for.
Category pages with real content
Buying guidance, selection criteria, genuine answers — not a paragraph of keywords under a product grid.
Faceted navigation decided deliberately
Which filter combinations deserve an indexable URL and which must not exist. The default settings of most platforms are wrong in both directions.
Product pages that differ
Manufacturer descriptions are duplicated across every retailer. Your own photography, specifications, use notes and reviews are the only differentiator available.
Out-of-stock handling
A policy decided in advance for discontinued and temporarily unavailable products, because the default behaviour quietly destroys accumulated authority.
Internal linking from content
Guides and comparisons linking into categories, which is how editorial actually earns its place in an e-commerce site.
Pagination and sorting
Unglamorous, and the most common source of wasted crawl budget on a large catalogue.
On most catalogues, fixing faceted navigation and writing twenty category pages beats optimising two thousand product pages, and costs a fraction as much.
Product data
The feed is an SEO asset, not just an ads input
Product data quality decides outcomes across organic listings, shopping surfaces, marketplaces and increasingly assistant answers about what to buy. It is usually owned by whoever set up the ads account and reviewed by nobody.
Titles built for matching
Brand, model, key attribute, in the order buyers search. The most consequential field and the one most often left as the supplier's default.
Attributes filled out
Size, colour, material, compatibility, condition. Missing attributes remove you from filtered results you would otherwise win.
Identifiers correct
GTINs and MPNs matched properly, which decides whether your listing joins the right product cluster or floats alone.
Structured data that matches reality
Price, availability and reviews in markup, agreeing with the page. Disagreement is treated as a quality problem rather than an oversight.
Variants handled coherently
One canonical approach to colours and sizes, applied consistently, rather than three approaches left by three previous developers.
One source of truth
Feed, site and marketplace listings generated from the same data, so a price change does not leave three surfaces contradicting each other.
The work
What an e-commerce engagement actually contains
Sequenced so that the structural work lands before the content work, because the reverse order wastes both.
Where marketplace presence competes with your own store, we will say so plainly rather than optimising both and letting them cannibalise each other.
Honest limits
Where e-commerce SEO runs out of road
Catalogue retail has structural constraints that no amount of optimisation addresses, and it is better to know which one you are facing.
Selling exactly what others sell
Identical products at identical prices from a weaker domain is a hard position. The answer is content, service or range — not more optimisation.
Margins that cannot carry the cost
If gross margin cannot absorb acquisition costs, better rankings change the volume of a losing transaction.
Marketplace dependence
Where most demand sits inside a marketplace, your own site may be the secondary channel. We will tell you if that is the honest picture.
Platform limitations
Some hosted platforms make correct URL and faceting control impossible. Worth establishing before planning work that the stack cannot support.
Thin catalogue, thin opportunity
A small range limits how many category pages genuinely deserve to exist. Manufacturing them creates duplication rather than coverage.
Brand-led categories
In some verticals buyers search brands and nothing else. Then the work is brand building, and SEO supports it rather than leading.
More SEO
The rest of the SEO stack.
Technical SEO
Crawlability, Core Web Vitals, indexation and schema — the technical foundation Google and AI engines both need.
B2B & SaaS SEO
SEO built for how B2B and SaaS buyers actually search — mapped to pipeline, not vanity traffic.
Content & Programmatic SEO
Topic clusters and programmatic pages that scale organic coverage without diluting quality.
Link Building & Digital PR
Authority signals that move rankings — and feed the citations AI engines reward.
International SEO
Hreflang, localization and multi-market architecture to grow organic across regions.
Questions
E-commerce SEO, answered.
Which platforms do you support?
Shopify, WooCommerce, Magento and custom stacks — the principles are the same; the implementation adapts.
Can you handle large catalogs?
Yes — crawl-budget control and templated optimization are exactly how we scale to thousands of SKUs.
Which platforms do you work with?
The work is platform-agnostic in principle and very platform-specific in practice, because what you can control differs enormously. On the major hosted platforms the constraints are around URL structure, faceting and canonical control; on self-hosted and headless stacks you can do almost anything and the risk shifts to implementation quality. During the audit we establish what your platform actually permits and plan inside that, rather than recommending changes it cannot support and calling the shortfall your developers' problem.
How do you handle faceted navigation?
With an explicit policy rather than platform defaults, because the defaults are usually wrong in both directions — indexing combinations nobody searches while blocking ones that have real demand. We identify which filter combinations have genuine search volume and commercial value, make those indexable with proper content, and block or canonicalise the rest. Then we verify it in crawl data, because faceting policies that exist only in documentation are extremely common.
What should happen to discontinued products?
It depends on whether the product is coming back and whether the page has value. Temporarily unavailable items keep their page with clear availability signalling; permanently discontinued items with inbound links or traffic get redirected to the closest equivalent or the parent category; items with neither can return a 410. What destroys authority is the default behaviour of many platforms — silently returning a 404 or, worse, redirecting everything to the homepage, which search engines treat as a soft 404 anyway.
Can you handle a catalogue of tens of thousands of products?
Yes, and at that scale the work changes character: it becomes about templates, rules and crawl economics rather than individual pages. Nobody optimises forty thousand product pages by hand. The leverage is in category architecture, faceting policy, feed quality and template-level improvements that apply everywhere at once, plus manual work on the small set of pages carrying most of the revenue.
Is SEO worth it if most of our sales come through marketplaces?
Possibly not as your main investment, and we would rather say that than build a programme around the wrong channel. If a marketplace owns the demand in your category, marketplace optimisation and feed quality matter more than your own site's rankings. Where owned-site SEO still earns its place is margin — direct sales avoid marketplace fees — and resilience, since depending on a single platform's algorithm is a real risk. We will give you the honest split rather than the one that produces a bigger retainer.
How do reviews affect this?
More than most retailers act on. Review content adds genuine unique text to pages that would otherwise duplicate the manufacturer's description, review markup affects how listings display, and review volume influences both conversion and how assistants describe your products. The practical work is making sure reviews are collected, rendered server-side so they are actually readable by crawlers, and marked up correctly — the third of which is wrong on a surprising share of the sites we audit.
Do AI assistants matter for e-commerce yet?
They are starting to, for research and shortlisting rather than for the transaction itself. Buyers increasingly ask an assistant which product suits a need, and the answer is assembled from product data, reviews and comparison content — which means the same feed quality and category content work pays into both channels. We would not reorganise an e-commerce programme around it today, and we would not ignore it either; the work that serves it is mostly work you should be doing anyway.
Where should we start if the catalogue is a mess?
With crawl and index data rather than with a content plan, because it tells you how much of the catalogue search engines have actually kept and where their attention is going. On most messy catalogues the first findings are the same: a large share of crawl budget spent on filter and sort URLs nobody searches, a meaningful chunk of products discovered but not indexed, and category pages with no content on them at all. Fixing faceting policy and writing the top twenty category pages usually produces more than any amount of product-page work, and costs considerably less.
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