Technical SEO for Shopify stores
Shopify SEO Services
Shopify hides its SEO problems well. Duplicate collection paths, variant URLs, filter combinations, thin collection pages and app-injected scripts all cost rankings — and none of them are fixed by an SEO app. This is Shopify SEO done in Liquid, in the sitemap logic and in the theme.
What's Included
Comprehensive solutions tailored to your specific needs
Canonical & URL strategy
Consistent product paths, parameter handling and pagination logic implemented in the theme.
Collection architecture
Search-demand-driven collection structure with real content and internal linking.
Faceted navigation policy
Static landing pages where demand exists; crawl control everywhere else.
Product schema
Template-level Product, Offer and Breadcrumb markup validated against rendered output.
International setup
Shopify Markets, currency handling and hreflang across domains or subfolders.
Core Web Vitals
App audit, script control and image/font strategy measured in real-user data.
Problems I Solve
Symptoms this engagement is built to fix
Products reachable at both /products/x and /collections/y/products/x, splitting internal link signals.
Filter and sort parameters generating crawlable near-duplicate collection URLs.
Collection pages too thin to rank for the category terms that drive revenue.
Product schema from an app conflicting with the theme's own markup.
App scripts loading storewide and failing interaction metrics on mobile.
Blog and collection pages competing for the same query with neither winning.
The platform problems SEO apps do not solve
Shopify's URL structure is opinionated in ways that quietly cost rankings. Collection-scoped product URLs duplicate every product; tag-based filtering creates crawlable combinations; pagination and sort parameters multiply the same listing; and the automatically generated sitemap includes URLs you would rather not emphasise. Because you cannot edit robots.txt behaviour or sitemap generation as freely as on WordPress, the fix has to be engineered: internal links pointing consistently at the canonical product path, robots.txt.liquid rules for parameter patterns, theme-level canonical control, and deliberate decisions about which filtered views deserve a real, indexable landing page.
Collections are your ranking assets
In most stores the money terms are category terms, and the collection page is the page that should win them. Yet collections usually ship as a grid with a one-line description. I rebuild the top collections around search demand: genuinely useful copy that answers buying questions, structured internal links to subcategories and best sellers, supporting buying-guide content that links up, and ItemList markup. Where filter values have real standalone demand — a brand, a material, a size — those become static optimised landing pages instead of parameter URLs.
Structured data that matches the page
Rich results depend on Product and Offer markup that exactly matches the rendered price, currency and availability. The most common failure I fix is app-generated schema drifting from what the theme shows, especially on multi-currency stores. I implement Product, Offer, AggregateRating, BreadcrumbList and Organization markup at template level from a single source of truth, disable duplicate app output, and validate everything against rendered HTML rather than the theme editor preview.
Performance and the app stack
Every app you install can inject scripts on every page. I audit the stack app by app with measured runtime cost, remove or replace what is not earning its weight, move remaining third-party tags to a controlled loading strategy, and fix image sizing, font loading and Liquid render cost. The target is passing field data in Search Console, not a one-off lab score.
What You Receive
Deliverables & expected outcomes
- Technical Shopify audit covering crawling, indexation, schema, speed and architecture
- Collection map with target queries and content briefs
- Canonical, parameter and pagination policy implemented in Liquid
- Validated Product and Breadcrumb structured data
- App performance audit with removal/replacement recommendations
- Search Console monitoring plan with before/after field data
Illustrative Engagement
A representative scenario
The problem
A fashion store had strong product rankings but almost no visibility on category terms, and Search Console showed a large volume of crawled-not-indexed filter URLs.
The approach
Filter URLs were brought under a deliberate crawl policy, the twelve highest-demand collections were rebuilt with buying-intent content and internal links, and duplicated app schema was replaced with template-level markup.
The outcome
Crawl activity concentrated on real templates and the rebuilt collections started competing for their category terms instead of only long-tail product queries.
Composite scenario based on typical engagements. Replace with a real, attributed case study once published.
My Process
A proven methodology for delivering exceptional results
Audit
Full crawl, Search Console indexation review, schema validation and app performance profile.
Strategy
Collection and filter architecture, canonical policy and content briefs agreed.
Implementation
Liquid, robots.txt.liquid, schema and internal linking changes applied on a preview theme.
Measure
Publish, monitor indexation and field performance, iterate on the next priority tier.
Why Choose Me?
With 7+ years of experience and a track record of delivering results, I bring expertise, reliability, and a results-driven approach to every project.
- Fixes implemented in Liquid, not stacked as another app
- One consultant for SEO, theme development and performance
- Structured data that survives multi-currency and app changes
- Category-level visibility, not just long-tail product traffic
- Documented decisions your team can maintain
Frequently Asked Questions
Related Services
Further Reading
Related articles from the blog
Ready to Get Started?
Let's discuss your project and create a custom strategy for success.