E-commerce Engineering on WordPress
WooCommerce SEO & Performance
WooCommerce gives you full control — which means every SEO problem is yours to fix. Plugin checklists get you meta titles; they do nothing about faceted-navigation crawl traps, 40-plugin page weight, product schema that contradicts the price on screen, or category pages Google refuses to rank. I work at the theme, database and server level where WooCommerce SEO is actually decided.
What's Included
Comprehensive solutions tailored to your specific needs
Category architecture rebuild
Search-demand-driven hierarchy with unique copy, internal linking and consolidation of competing URLs.
Faceted navigation control
Per-facet indexation policy: static landing pages where demand exists, crawl blocks and canonicals everywhere else.
Product & review schema
Template-level Product, Offer, AggregateRating and BreadcrumbList markup validated against rendered output.
Crawl budget engineering
Robots.txt, parameter handling, sitemap curation and log-file analysis so Googlebot spends time on pages that rank.
Performance remediation
Plugin asset de-queueing, object and page caching, database cleanup and image pipeline — measured in CrUX, not lab scores.
Variation & duplicate consolidation
Canonical strategy for variations, tags, attachments and paginated archives so ranking signals concentrate.
Problems I Solve
Symptoms this engagement is built to fix
Category pages that cannot rank because they are thin, paginated into oblivion, or canonicalised away by a plugin default.
Faceted navigation (filters for size, colour, price) generating thousands of crawlable parameter URLs that dilute crawl budget.
Product schema that disagrees with the visible price, availability or currency — losing rich results eligibility.
Stores loading 30+ plugin stylesheets and scripts on every page, failing INP and LCP on mobile.
Duplicate content across product variations, tag archives and attachment pages.
A shop, blog and landing pages competing for the same queries because nobody planned the information architecture.
Why WooCommerce SEO is an engineering problem
Shopify constrains you; WooCommerce doesn't. That freedom means the platform ships with almost no SEO guardrails: out of the box it creates attachment URLs for every uploaded image, paginates archives without canonical strategy, lets every filter combination become a crawlable URL, and renders product schema only if your theme and plugins cooperate. SEO plugins like Yoast or Rank Math handle titles, sitemaps and basic schema well — but they cannot restructure your category hierarchy, they cannot stop a badly-built filter plugin from exposing 50,000 parameter URLs, and they cannot make a page builder theme fast. The work that moves organic revenue happens below the plugin layer: in the template files, the rewrite rules, the database queries and the server configuration.
Category and product architecture that can actually rank
Category pages are the highest-value ranking asset in most WooCommerce stores, and the most neglected. I restructure catalogues around search demand: a deliberate hierarchy where each category targets a real query cluster, carries unique copy that answers buying questions (not keyword stuffing), and internally links to subcategories, buying guides and best-selling products. Products get clean titles that combine brand, product type and differentiating attributes; variations are consolidated so colour and size options don't fragment into near-duplicate URLs. Where the store has a blog, I build it as a supporting cluster — buying guides and comparison content that internally link up to the categories they support, which is how informational traffic gets converted into rankings for commercial pages.
Faceted navigation: the crawl trap every store has
WooCommerce's layered navigation is excellent for users and dangerous for crawling. Every combination of filters can produce a unique URL, and crawlers will follow them all. I implement a deliberate policy per facet: filter values with standalone search demand (for example, a brand filter on an electronics store) get static, indexable, optimised landing pages; everything else is excluded from crawling via robots.txt patterns, canonical handling and nofollow on filter links. Sort orders, price ranges and pagination states are canonicalised back to the primary category URL. The result is a crawl profile where Googlebot spends its time on pages that can rank instead of drowning in parameter combinations.
Structured data that survives validation
Rich results for products — price, availability, review stars in the SERP — require Product schema that exactly matches what the page renders. The most common failure I fix: schema emitted by a plugin showing a stale sale price or 'in stock' while the template shows the opposite, which gets the whole site's rich results dropped. I implement Product, Offer, AggregateRating, BreadcrumbList and Review schema at the template level, validated against the Rich Results Test, with a single source of truth so the markup cannot drift from the rendered page. Category pages get ItemList markup; the blog gets Article with proper authorship.
Performance on a plugin-heavy stack
The average WooCommerce store I audit runs 25–40 plugins, and every one of them wants to load assets on every page. I profile the real cost: which plugins add render-blocking CSS, which run database queries on every pageview, which load third-party scripts that destroy INP. Then I fix it at the source — de-queueing assets where they aren't needed, replacing heavy plugins with lightweight alternatives or template code, implementing object caching (Redis) and full-page caching with correct cart/checkout exclusions, and optimising the database itself: autoloaded options, post meta bloat and transients. Combined with image pipeline work (WebP, responsive srcset, lazy loading below the fold), this routinely takes stores from failing to passing Core Web Vitals without changing hosts.
What You Receive
Deliverables & expected outcomes
- Full technical audit covering crawling, indexation, schema, speed and architecture
- Category hierarchy map with target queries per category
- Faceted navigation indexation policy, implemented in robots.txt and templates
- Template-level structured data, validated in the Rich Results Test
- Plugin audit with per-plugin performance cost and replacement plan
- Caching and database configuration (Redis, page cache, autoload cleanup)
Illustrative Engagement
A representative scenario
The problem
A 4,000-product home goods store had plateaued: categories stuck on page two, mobile LCP at 5.8 seconds, and Search Console reporting 60,000 discovered-but-not-indexed URLs.
The approach
The 60,000 URLs were filter combinations. We locked faceted navigation behind a deliberate indexation policy, rebuilt the 24 top categories with buying-intent copy and internal links, fixed product schema drift caused by a currency plugin, and cut page weight by de-queueing 19 plugin stylesheets and adding Redis object caching.
The outcome
Indexed URL count normalised to the real catalogue size, mobile LCP dropped to 2.1 seconds, and the rebuilt categories moved to page one positions for their primary terms over the following quarter.
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 & crawl analysis
Full crawl, log-file review, Search Console indexation analysis and a plugin-by-plugin performance profile.
Architecture & policy
Category hierarchy mapped to search demand; faceted navigation and duplicate handling decided per pattern.
Implementation
Template, schema, caching and content changes shipped directly — no ticket handoff to a separate dev team.
Measure & iterate
Indexation, rankings and CrUX field data monitored; category content iterated against queries that stall.
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.
- Category pages engineered to rank, not just exist
- Crawl budget spent on revenue pages instead of filter URLs
- Rich results (price, stock, stars) restored and protected
- Faster store without a re-platform or a new theme
- One person across SEO, WordPress code and server configuration
- Decisions documented so future plugin additions don't undo the work
Starting at
€497
WooCommerce technical audit with architecture map and prioritised fix list. Implementation quoted per scope.
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