🛒 Industry · E-commerce stores
SEO for online stores
Organic search strategy for WooCommerce, OpenCart and custom e-commerce — built around category architecture, product schema, and buyer-intent keywords that convert.
Built for Ukrainian e-commerce stores with 100+ SKUs, $100k+ annual revenue, looking to reduce paid-ad dependency through organic growth.
- ✦ Category page architecture
- ✦ Product + Offer schema
- ✦ Technical crawl optimisation
- ✦ Buyer-intent keyword mapping
Why SEO for online stores is different
E-commerce SEO is not blog SEO. The wins come from category page architecture (flat vs deep navigation, facet indexation control), product schema (Product, Offer, AggregateRating) that earns rich results, and technical crawl efficiency so Google indexes your 10,000 products instead of crawling infinite filter combinations. Content plays a role — buying guides and comparison pages capture top-of-funnel intent — but the lever is structural: category pages that rank for head terms, product pages that rank for long-tail. We prioritise technical foundation first, then content layer second.
Services we run for E-commerce stores clients
Same disciplines as our generic service stack — re-framed and re-prioritised for the e-commerce stores buyer.
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Category + product SEO
Category page architecture, facet indexation control, product schema, internal link hierarchy. Focused on head-term category rankings first, long-tail product pages second.
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Google Shopping + PMax
Feed optimisation, Merchant Center health fixes, PMax structured by margin tier. Shopping and organic SEO share keyword data for a unified search strategy.
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Google Search for stores
Brand defense + high-intent product searches + competitor conquesting. Conversion tracking at the transaction level, not the add-to-cart click.
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Buying guides + comparisons
Top-of-funnel content that captures research-phase queries: "best X for Y", "X vs Y", "how to choose X". Builds authority and feeds category pages.
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Technical SEO + speed
Core Web Vitals fixes, crawl budget optimisation, pagination and filter handling, structured data implementation. The technical foundation everything else depends on.
What 90 days looks like
- Week 1
1. Technical + crawl audit
Full crawl of your store — indexation rate, duplicate content, canonical errors, page speed, structured data gaps. Identify the 5 biggest crawl-budget leaks.
- Weeks 2-4
2. Foundation fixes
Fix crawl issues, implement product + category schema, set up canonical and robots rules for filters. Keyword map your top 20 categories to head-term targets.
- Weeks 5-10
3. Category + content build
Optimise category pages for head terms. Launch 3-5 buying-guide content pieces. Internal link audit and rebuild to pass authority to priority categories.
- Weeks 11-12
4. Reporting + scale plan
Baseline organic revenue + impressions report by category. Prioritised backlog for next quarter: next category tier, next content cluster, next technical fix.
FAQ — E-commerce stores
How long before SEO drives meaningful e-commerce revenue?
Should I do SEO or Google Shopping first?
How do you handle faceted navigation (filters)?
What platforms do you work with?
Ready to reduce your paid-ad dependency?
Book a 60-min SEO audit of your store. We pull your current indexation rate, category keyword gaps, and top 5 technical issues — then show you the organic growth path for the next 12 months.
Book the store SEO audit →