Why eCommerce SEO Matters
Australian Shoppers Start on Google — Not on Your Store
Over 70 percent of Australian online shopping journeys begin with a search engine query. The stores that capture this demand — ranking for category-level queries like “running shoes Melbourne” or “kitchen appliances Australia” — generate compounding organic revenue that paid advertising cannot replicate on cost efficiency at scale.
But most online stores rank for their own brand name and almost nothing else. Large marketplaces — Amazon, eBay, Catch — dominate the commercial queries because they have the domain authority and catalogue depth to win by default. The stores taking traffic back from these aggregators are not outspending them. They are winning with better category page content, tighter keyword architecture, and Product schema that earns rich result features.
Unlike Google Ads, SEO revenue compounds. A category page that earns page one rankings in month 4 continues to generate revenue without ongoing cost-per-click. Each new category ranked adds to the traffic pool. The return on investment grows every month the campaign runs.
of Australian online shopping journeys begin with a Google search
typical organic revenue growth for well-executed 12-month eCommerce SEO campaigns
more clicks earned by product listings with review star rich results vs plain blue links
cost-per-click for every organic session once category rankings are established
The Problem
Why Most Online Stores Rank Poorly
Australian eCommerce SEO is structurally harder than service-site SEO. Large product catalogues generate enormous volumes of duplicate content. Faceted navigation creates thousands of low-value URL variants that consume crawl budget. Category pages ship as empty product grids with no text for Google to assess relevance.
The result is that most local online stores rank for their own brand name and almost nothing else, while large marketplaces like Amazon, eBay and large category players dominate the commercial queries that drive actual purchase intent.
The businesses taking organic market share from these aggregators are not outspending them. They are winning with better category page content, tighter keyword-to-URL mapping, and structured data that earns rich result features. These are all achievable with the right approach, regardless of store size.
What We Do
Our eCommerce SEO Services: What's Included
Category Page Optimisation
Category pages are the highest-value pages in eCommerce SEO. We write 200 to 400-word unique introductions for each priority category targeting commercial investigation keyword clusters, build proper heading hierarchies, and establish internal linking from blog and editorial content to drive authority down to subcategory and product levels.
Faceted Navigation Control
Faceted navigation filter pages are the most common source of crawl budget waste and duplicate content on eCommerce sites. We audit every parameter type, implement canonical consolidation, configure robots.txt parameter rules, and work with your development team to assess JavaScript Filter rendering where appropriate.
Product Schema and Rich Results
Product, Offer, AggregateRating and BreadcrumbList schema implemented site-wide using JSON-LD. Full validation in Google's Rich Results Test before deployment. Review star eligibility verified. Troubleshooting of existing schema errors surfaced in Search Console's Rich Results report.
Product and Category Keyword Architecture
Keyword mapping across your entire catalogue to ensure product pages target transactional queries and category pages target commercial investigation queries. Cannibalisation audit to identify pages competing for the same terms. Priority keyword assignments for new product launches and seasonal categories.
Out-of-Stock and Discontinued Product Strategy
Custom handling rules for out-of-stock, back-order and discontinued products. Temporary out-of-stock pages kept live with alternative product recommendations. Discontinued products redirected to preserve link equity. 301 redirect strategy for catalogue consolidations and SKU changes.
eCommerce Link Building
Editorial link acquisition from Australian shopping guides, product review publications, and industry directories. Digital PR campaigns targeting product features in category-specific media. Competitor backlink analysis to identify link sources your top-ranking competitors use that you do not.
Our Process
eCommerce SEO: First 90 Days
Catalogue Architecture Audit
We map your entire URL structure: category depth, pagination patterns, faceted navigation parameters, duplicate URL variants, and canonical tag accuracy. This audit tells us exactly how Google sees your site versus how it should see it.
Keyword Architecture Mapping
We map every priority category and product type to the keyword clusters with real commercial volume. Intent classification separates transactional product queries from commercial investigation category terms. Output is a priority keyword matrix for your top 100 pages.
Technical Foundation Fixes
Faceted navigation canonicals, product schema implementation, pagination rel=next/prev removal (deprecated, but still misused), noindex corrections, and sitemap accuracy fixes. Technical work runs in parallel with content work to compress the timeline to first rankings.
Category Page Content Build
Unique introductory copy written for each priority category, optimised for the primary keyword cluster and related entity terms. Heading hierarchy structured around subcategory navigator terms. Internal links from existing blog content added to each priority category.
Product Page Optimisation
Priority product page meta title and description templates updated to include brand, product name, key attribute and call to action. Product schema deployed. Images checked for missing alt text. Internal linking from category pages to featured products standardised.
Reporting and Iteration
Monthly reports covering keyword ranking movements for all tracked categories and products, organic traffic and revenue from Search Console and GA4, schema status, and next-month priorities. Keyword set expanded quarterly as new ranking opportunities are identified.
Deliverables
Monthly eCommerce SEO Deliverables
eCommerce keyword architecture
Priority keyword map across all category levels and product types, with intent classification and monthly search volume. Includes cannibalisation analysis.
Faceted navigation audit and fix plan
Complete parameter URL inventory with canonical and robots.txt fix specifications for your development team.
Category page content
Written, SEO-optimised category introductions for priority pages, with heading hierarchy and internal link specifications.
Product schema implementation
JSON-LD Product, Offer and AggregateRating schema deployed site-wide and validated in Rich Results Test.
Technical crawl report
Full Screaming Frog audit of indexation status, canonical accuracy, redirect chains and sitemap coverage.
Monthly performance report
Keyword rankings, organic traffic trends from Search Console, revenue attribution from GA4, and next-month action plan.
Results
eCommerce SEO results for Australian online stores
Melbourne, VIC
Challenge: A Melbourne online fashion retailer had 8,000 products across 120 category pages but organic traffic had plateaued at 12,000 sessions per month for 2 years. Faceted navigation was generating 60,000 crawlable URL variants. Category pages had no unique content, only product grids.
Work done: Audited and corrected canonical tags across all faceted navigation URLs, added robots.txt parameter blocking for 14 filter types, wrote unique 250-word category introductions for the top 40 revenue-driving categories, implemented Product and AggregateRating schema site-wide, and built 18 editorial backlinks from Australian fashion publications.
Brisbane, QLD
Challenge: A Brisbane garden supplies store had strong Google Ads performance but near-zero organic traffic. 94% of product pages had duplicate meta descriptions inherited from a template. The site had no structured data. Search Console showed 4,200 pages with indexation errors.
Work done: Deployed dynamic meta description templates using product attributes (brand, category, product name, key feature) that generated unique descriptions across all 4,800 products, implemented Product schema with pricing and availability, corrected 4,200 indexation errors by fixing canonical chains and removing noindex tags incorrectly applied to product pages after a CMS migration 6 months prior.
AI Search & Answer Engine Optimisation
AI Is Now Part of the eCommerce Purchase Research Path
Google's AI Overviews now appear for a significant portion of product research queries — “best coffee machines under $500”, “top-rated running shoes Australia” and similar. These summaries pull from the best-structured category pages and product content with strong AggregateRating signals. Stores without structured data or thin category pages are bypassed.
Beyond Google, ChatGPT and Perplexity are increasingly used for gift guides, product comparisons and “what should I buy” research. Large language models surface product recommendations from well-structured stores, review aggregators, and shopping publications — not from stores with no schema, no reviews and no crawlable product descriptions.
We implement Product schema, AggregateRating, FAQPage schema and BreadcrumbList across your entire store so that both traditional search and AI research tools can accurately parse and cite your products and categories.
AI Overviews for Product Queries
Google's AI summary now answers 'best [product] in Australia' queries by pulling from top-ranking pages. Stores with comprehensive category introductions and Product schema are cited. Those without are invisible in this layer.
ChatGPT & Perplexity Product Research
LLMs surface product recommendations from stores with strong review signals, structured data and editorial coverage. Our citation-building strategy includes shopping directory submissions and PR placement.
Rich Results via Product Schema
AggregateRating schema earns review stars directly in search results. Price and availability schema earns stock status display. Both increase click-through rate significantly — measurable in Search Console data.
Client Results
What online store owners say about working with us
“We'd been running Google Ads for three years to maintain any level of sales. After eight months of eCommerce SEO with Web Like Web, organic revenue overtook paid for the first time. Category pages that had zero rankings are now page one for the commercial terms that drive actual purchases.”
Emma W.
Owner · Online Fashion Boutique · Melbourne VIC
“The faceted navigation audit alone was worth every cent. We had 60,000 duplicate URLs being crawled and couldn't understand why our pages weren't indexing properly. Within two months of the canonical fixes, Search Console showed 4x more pages indexed and rankings started moving.”
Tom R.
eCommerce Manager · Home & Garden Retailer · Brisbane QLD
“Our product pages were technically fine but generating almost no organic traffic. Web Like Web restructured our category keyword architecture and added proper schema across the site. Organic sessions went from 900 a month to over 14,000 in five months. The ROI is completely different to what ads delivered.”
Priya K.
Director · Health & Wellness Store · Sydney NSW
Platforms and Services
eCommerce SEO Across Every Platform
Why Us
Why Online Stores Choose Our SEO
Platform-specific SEO, not generic advice
Shopify's canonical issue with /products/ and /collections/ URLs, WooCommerce's default permalink structure, Magento's layered navigation: each platform requires different technical solutions. We know these patterns from experience, not from documentation.
Category content that actually ranks
Category page introductions that stuff keywords without addressing buyer intent rank temporarily and then drop. We write category content that answers the question a searcher has at the commercial investigation stage, which is what earns sustained rankings.
Structured data with revenue attribution
We track which product pages have rich result enhancements active in Search Console and correlate them with click-through rate improvements. Schema implementation is measured, not assumed.
Faceted navigation handled correctly
The wrong approach to faceted navigation (blocking all filters in robots.txt) prevents Google from discovering new category and product pages via filter combinations that have genuine search volume. We assess each parameter type individually, not with blanket rules.
Competitor catalogue gap analysis
We map your competitors' indexed category and product URLs to identify the keyword gaps: categories they rank for that you do not have, products they carry that you do, and keyword clusters where you are absent. This drives catalogue expansion priorities.
Seasonal SEO planning, not reactive updates
Australian eCommerce has distinct seasonal patterns around EOFY, Black Friday, Christmas and Back to School. We build seasonal category page optimisation schedules 6 to 8 weeks ahead of peak periods, not in the week before.
Related Services
Complementary eCommerce Growth Services
Google Shopping
Product feed optimisation, Merchant Center setup and Performance Max campaign management.
Technical SEO
Crawl audits, Core Web Vitals fixes, structured data and JavaScript rendering diagnosis.
Link Building
Editorial backlinks from Australian publications and shopping guides for eCommerce authority.
On-Page SEO
Title tag, meta description and content optimisation across product and category pages.
Locations
eCommerce SEO services across Australia
We manage eCommerce SEO campaigns for Australian online stores based in Melbourne, Sydney, Brisbane, Perth and Adelaide. Every campaign is tailored to the competitive landscape and seasonal patterns for your specific location and product category.
FAQ
eCommerce SEO questions answered
Free eCommerce SEO Audit
Get a Free eCommerce SEO Audit
We audit your category architecture, faceted navigation setup, Product schema implementation and keyword mapping against your top 3 organic competitors. Written report with prioritised action steps.