Store SEO is architecture first: categories built around how buyers search, product pages that answer buying questions, and crawl control so Google indexes the pages that convert. On marketplaces: beat them where they are weak, not head-on.
Review in 48 hours · Any platform
PixelCrayons' eCommerce SEO service grows organic revenue for online stores: category architecture, product pages and crawl control built around how buyers search. We structure categories on real search demand and control faceted navigation, the filter URLs that multiply, so crawl budget (the pages Google will fetch) goes to pages that convert. Product schema, the structured data that lists price, stock and brand, goes across the catalogue, and unwinnable marketplace terms are named as such. The published commerce case: 340% revenue growth in seven months, search and paid on one roadmap. Direct for brands, white-label for agencies.
Outcomes tied to real engagements, not averages.
The category tree rebuilt around query classes buyers actually use, not the org chart or the supplier's taxonomy. Each category page targets a demand cluster it can own; sub-categories exist only where search volume earns them a page. This is where store SEO is won: a catalogue with the wrong architecture loses before a word is written.
Buying questions answered on the page (sizing, compatibility, comparisons, delivery) with unique copy where it moves revenue. At catalogue scale, priorities are stated upfront. Best-sellers and high-margin lines get hand-written depth, the long tail gets structured templates done properly, and nothing ships as a manufacturer-description duplicate.
Filters multiply URLs faster than any site can earn authority. Size times colour times brand is how a thousand products become a million thin pages. We set the crawl rules: some facet combinations deserve indexing because demand exists, others get pointed at one canonical URL (the version Google should index) or blocked, so crawl budget flows to money pages.
Valid product structured data on every template (price, availability, brand, ratings where you genuinely have them) kept in sync with the catalogue as stock moves. Schema is how you qualify for rich results, and increasingly how shopping surfaces and AI answers read your store at all.
Where a term is unwinnable, the plan says so and spends elsewhere. For head terms, marketplaces usually hold the results and pretending otherwise wastes budgets. The store's winnable ground is mapped explicitly: brand and specific long-tail queries, category expertise the marketplaces cannot fake, and content only a specialist can write.
Full crawl of the catalogue, facet and parameter inventory, schema coverage check, and a demand map of the category structure, including which terms the marketplaces own.
The category tree redrawn against demand, the facet index rules proposed, and the fix list ranked by revenue impact versus effort. You approve the plan before anything ships.
Facet rules deployed, the first categories rebuilt on their query classes, product schema validated across templates, and internal links pointed at the pages meant to rank.
The monthly cycle: extend the architecture, deepen product copy where margin justifies it, earn category authority, reported against organic revenue, not rankings for their own sake.
Your search programme runs in a Prism workspace you log into: the fix queue, the content queue, approvals and the weekly review, with each decision written down as it is made.
Approvals with an owner and a due date.
Each decision written down as it is made.
What we did and what happened, side by side.
The published case behind this page: a D2C fragrance retailer whose store was rebuilt, then whose search was rebuilt around category and product architecture on real demand. Structured data went in across the catalogue, and search and paid were planned on one roadmap instead of two competing budgets. Revenue up 340% in 7 months.
Store SEO leans on technical SEO for crawl control at catalogue scale and on content strategy for the buying guides that make a category rank. On Shopify, start from Shopify SEO. Not sure which you need? The free review says.
On generic head terms, usually not, and an SEO agency for ecommerce that promises otherwise is spending your budget on its optimism. Marketplaces hold that ground with authority no single store matches. The honest strategy is to fight where stores win: your brand terms, specific long-tail queries where intent is precise, category expertise a marketplace listing cannot fake, and buying content only a specialist can write. Our plans mark unwinnable terms as exactly that, and put the budget where the demand map says it can actually convert.
Scale and structure. A store's rankings live or die on architecture: whether categories map to real query classes. They also live or die on problems content sites never face, like faceted navigation multiplying URLs into the millions, product pages churning with stock, duplicate manufacturer descriptions across half the internet, and schema that has to stay accurate as prices and availability move daily. The craft is making a large catalogue legible to engines and buyers at once, which is a different discipline from publishing articles.
With explicit rules, decided from demand data rather than dogma. Facet combinations that real buyers search for (a colour within a category, a brand within a range) earn indexable, optimised pages. The combinatorial rest gets canonicalised, parameter-handled or blocked so crawlers stop drowning in thin permutations. Done right, crawl budget concentrates on pages that can rank and convert; done wrong, the catalogue's authority is diluted across a million URLs nobody searches for.
Yes, with priorities stated upfront. Hand-written depth goes where revenue justifies it (best-sellers, high-margin lines, the categories that anchor the architecture); the long tail gets properly built templates instead, so nothing ships as a duplicated manufacturer description. Category pages get genuine buying guidance, not three lines of keyword filler above the product grid. Every piece is briefed from the demand map, so you can audit why each page exists.
The review and the work run on any platform, WooCommerce included. What decides store rankings is the same everywhere: category architecture on search demand, faceted navigation under crawl control, and valid product schema on every template. If your store runs on Shopify, our Shopify SEO page covers that platform's specifics.
Crawl-control and indexation fixes tend to show first, within weeks, because they concentrate authority the store already has. Category rebuilds typically show meaningful movement between months three and six, compounding after that as the architecture accrues authority: the same timeline we give for SEO generally. Competitive categories take longer, and we say so per query class before any contract is signed rather than after the third report.
No. Rankings are Google's call and revenue is the buyer's, so neither one belongs in a contract. Our contract covers the work instead: architecture shipped, crawl rules deployed, schema valid, copy published, all reported weekly against organic sessions and revenue. Judge us on the published cases: +127% organic growth on a single SaaS engagement, and 340% peak revenue growth on a single commerce client.
A free store review in 48 hours: category architecture, facet rules and schema checked against real search demand, with the fix list ranked by revenue impact. Keep it whether or not we ever work together.
48-hour turnaround · No retainer required · NDA standard
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