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.
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Brands our teams have delivered for
PixelCrayons' eCommerce SEO grows organic revenue for online stores, with categories and product pages built around how buyers search. We control faceted navigation so Google crawls the pages that convert, put product schema across the catalogue and name unwinnable marketplace terms as such. We work direct for brands and 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 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.
We sign an NDA and talk through the store, the catalogue and where organic revenue stands today.
We crawl the catalogue, inventory facets, check schema and map demand, including terms the marketplaces own. The proposal ranks fixes by revenue impact versus effort.
You approve the architecture roadmap and confirm the scope, the payment and the access we need. Nothing ships before this.
Facet rules go live, the first categories are rebuilt on their query classes and product schema is validated across templates.
We extend the architecture, deepen product copy where margin justifies it and earn category authority, reported against organic revenue, not rankings.
Prism is the client workspace where your requests, approvals, tasks and weekly reviews live.
Where the engagement includes it, 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: Al Majed for Oud, a Saudi fragrance house, 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 and on WooCommerce from WordPress SEO. Not sure which you need? The free review says.
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All engagements.
Full termsKnow who coordinates your engagement, who owns the work and how to escalate an issue.
All engagements. Roles may be combined and vary with your engagement.
Full termsNo. Search engines decide rankings, and we do not guarantee rankings, AI-search citations, leads or revenue. We agree the work, how progress will be measured and how often we report it, and we explain what the measures show and what we will change next.
Before work starts we agree how often you get updates, what the reports cover and who sends them. You know who coordinates your engagement, who owns the work and how to escalate an issue. For hourly and retainer work, time is recorded in Workstatus, so you can see the time records behind your invoice.
Your materials, data and accounts remain yours, and we prefer to work in advertising and analytics accounts you own, with access delegated to our team. Agreed ownership rights in bespoke deliverables transfer under the engagement terms and applicable payment; third-party software and assets keep their licences. We do not withhold customer-owned data or accounts over a payment dispute.
Cancellation, notice and any renewal terms are written into your proposal or statement of work before you accept it. If an engagement ends early, we hand over completed, paid-for work and list any unfinished work separately. For an eligible specialist trial, you can stop within the trial window and pay nothing for eligible trial hours.
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Filters multiply URLs faster than any store can earn authority for them. We set the rules from demand data rather than dogma, so crawl budget goes to the pages that can rank and convert.
| Page or URL type | What we do | Why |
|---|---|---|
| A facet combination buyers search for, such as a colour within a category | Index it as an optimised page | Demand exists, so the page earns its place in the index. |
| A facet combination nobody searches for | Point it at one canonical URL, or handle the parameter | Crawlers stop spending budget on a thin permutation. |
| The combinatorial rest: size times colour times brand | Block it from crawling | This is how a thousand products become a million thin pages. |
| A sub-category with no search demand behind it | No page of its own | Sub-categories exist only where search volume earns them a page. |
| A best-seller or high-margin line | Hand-written depth | Revenue justifies it; the long tail gets properly built templates, and nothing ships as a duplicated manufacturer description. |
| A generic head term the marketplaces hold | Mark it unwinnable and spend elsewhere | Stores win on brand terms, specific long-tail queries and category expertise a marketplace listing cannot fake. |
The facet rules are proposed in week one and deployed only after you approve the plan.
On generic head terms, usually not; marketplaces hold that ground with authority no single store matches. Stores win on brand terms, precise long-tail queries, category expertise a listing can't 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 convert.
Scale and structure. A store's rankings depend on categories that map to real query classes, and on problems content sites never face: faceted navigation multiplying URLs, product pages churning with stock, duplicate manufacturer descriptions and schema that must stay accurate as prices move. The craft is making a large catalogue legible to engines and buyers at once.
With explicit rules, decided from demand data. Facet combinations real buyers search for, such as a colour within a category, earn indexable, optimised pages. The rest gets canonicalised, parameter-handled or blocked, so crawl budget concentrates on pages that can rank and convert instead of a million URLs nobody searches for.
Yes, with priorities stated upfront. Hand-written depth goes to best-sellers, high-margin lines and the categories that anchor the architecture; the long tail gets properly built templates, so nothing ships as a duplicated manufacturer description. 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, then compound. Competitive categories take longer, and we say so per query class before any contract is signed.
No. Rankings are Google's call and revenue is the buyer's, so our contract covers the work: 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 SaaS engagement and 340% peak revenue growth on a commerce client.
Priced as a monthly programme against an itemised deliverables list, with a one-off audit for buyers who want the diagnosis before the commitment.
Indicative: every figure is refined into an itemised proposal.INR figures shown excl. GST.
A free store review: 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.
Reply within four business hours (typical) · No retainer required · NDA standard
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