A data-led ecommerce SEO strategy that fixes the technical bottlenecks holding your store back, captures high-intent shoppers, and cuts your reliance on paid ad spend. We optimise category pages, product pages and schema so Google and AI search can actually read your store. Run lean, priced below a full-fee agency.
Most ecommerce sites have the same problem: the products are good, but Google can't make sense of the store. Duplicate product descriptions pulled straight from the supplier, filter URLs spawning thousands of near-identical pages, category pages with a heading and a grid of products and no actual content, and no structured data telling Google what anything costs or whether it's in stock.
The result is a store that only makes money while the ad account is switched on. Every sale carries an ad cost, so your margin is capped by whatever Google Ads charges that month. When CPCs rise, and they generally do, your profit shrinks even though nothing about your store changed.
Ecommerce SEO fixes the underlying problem. When your category and product pages rank on their own, you earn traffic that doesn't cost you per click. Paid and organic then work together: ads capture demand today while SEO compounds in the background, and over time the organic share of revenue grows. That's the whole point of the work, and it's how we measure it: organic revenue, not rankings for their own sake.
A rigorous four-stage process designed to clean up your code, structure your products, and capture market share.
E-commerce sites are complex. We start by fixing the deep technical issues that kill rankings. We audit your site for crawl budget efficiency, fix canonical tag errors caused by product variants, and ensure your site architecture allows Google to index your inventory without friction. A faster, cleaner site ranks higher.
Your category pages are your biggest revenue drivers. We transform these from simple product lists into powerful landing pages. By targeting broad, high-volume transactional keywords and implementing strategic internal linking, we ensure these pages capture customers at the start of their buying journey.
We ensure Google understands exactly what you are selling. We implement advanced structured data (Schema markup): including price, availability, and review ratings, to help your products stand out in search results with rich snippets. We also optimise product descriptions to target long-tail keywords and reduce bounce rates.
Rankings are a means, not the goal. Every task we take on has to trace back to organic revenue: more of the right shoppers landing on pages built to convert them. Here's what the work actually involves.
We start with a full technical crawl of your store: crawl budget waste, faceted navigation and filter URLs, duplicate content from product variants, redirect chains, site speed, and how your platform (Shopify, WooCommerce, Magento or custom) handles canonicals and pagination. Ecommerce sites generate technical debt faster than any other site type because every new product, variant and filter multiplies the URL count.
Then we fix the architecture. A clean structure, home to category to sub-category to product in as few clicks as possible, does two jobs at once: it passes authority to the pages that make money, and it gives Google an obvious map of what your store sells. You get the audit findings in plain English, ranked by revenue impact, and we work through them in order.
Category pages are the most under-used asset in ecommerce SEO. Shoppers searching "mens trail running shoes" or "stainless steel benchtops" aren't looking for one product, they're looking for a range, and Google knows it. That search deserves a category page, not a product page or a blog post.
We map your categories to real search demand, rewrite the page titles and headings around what people actually type, and add genuinely useful buying content above and below the product grid: what to look for, how the options differ, what most buyers choose. Not 800 words of filler pushed below the fold to tick an SEO box. Content that helps a shopper decide also helps the page rank, and it earns citations when AI search tools answer the same question.
Product pages win the long tail: the specific model numbers, brand-plus-product searches and "near me, in stock" queries where buying intent is highest. We rewrite thin or supplier-duplicated product descriptions, prioritised by revenue potential rather than alphabetically, so the pages that can make you the most money get fixed first.
Schema markup (structured data, the code that tells Google your price, stock status and review rating) does the rest. Product schema earns you rich results, the listings that show price and star ratings straight in the search page, and it's also how AI search tools read your catalogue. Most stores either don't have it or have it half-broken from a theme or plugin. We implement it properly and validate it, page by page.
We're based in Melbourne, but online stores don't sell to a suburb. Most of our ecommerce clients ship Australia-wide, and some sell internationally, so the strategy is built around where your customers search from, not where our office is.
That changes the work in practical ways. Keyword research covers Australian search demand as a whole, not just Melbourne queries. If you ship nationally, we make sure Google understands that, through your shipping and delivery content, your structured data and your Google Merchant Centre setup, so you're eligible to rank for buyers in Brisbane, Perth or regional NSW, not just your home city. And if certain states or regions drive most of your revenue, the content plan reflects that.
Being AI-led rather than office-led also means distance doesn't add cost or lag. Reporting, dashboards and the work itself are the same whether you're in Cremorne or Cairns. If you'd rather talk it through in person and you're in Melbourne, that works too.
The traditional ecommerce SEO retainer pays for a team: an account manager, a technical SEO, a content writer, a link builder, and the office above all of them. Each person does one part of the job by hand, and the retainer covers all of that overhead whether it moved your revenue or not.
We run lean. AI-led technology does the heavy lifting: the crawling, the keyword and competitor analysis, the first drafts, the reporting. One experienced expert owns your strategy and checks every piece of work before it ships. Same scope of work, done faster and more thoroughly, without the layers.
| Traditional agency | Dizian | |
|---|---|---|
| Monthly fee | $1,500 to $3,000 | Competitive, delivery is AI-enabled |
| Who does the work | Account manager, delivery by juniors | One experienced expert, AI doing the manual layers |
| Minimum term | Commonly a fixed lock-in | 30 day terms, no lock-in |
| Where the fee goes | Work plus team and office overhead | Work plus tooling, with the difference free for media |
The difference does not vanish. It goes into your media budget: more content shipped, more ad spend, more of every dollar reaching a customer. Efficiency on our side is what lifts the return on yours.
No lock-in contracts, and you always know what's being worked on and why. If you want the full breakdown of how the pricing works, see our affordable SEO in Melbourne page.
Real, published results from ecommerce clients. No invented numbers, no anonymous "leading retailer" claims.
Results shown are actual outcomes achieved for the named clients. Individual results vary with market, budget and starting position, and past performance is not a guarantee of future results.
The pattern across all three: fix what stops shoppers converting, then scale what brings them in. SEO and paid work best as a pair, which is why many of our ecommerce clients pair their SEO with Google Ads. See the full case studies in the ecommerce results we have delivered.
Want us to look at your store? Free digital audit at dizian.com.au.
Read further:
Three things separate a store that earns traffic from one that rents it.
They target the higher-volume searches and pass authority to every product beneath them. Fix one and you lift dozens.
Filters, variants and pagination multiply URLs faster than any other site type. Left alone it eats the crawl budget that should reach your products.
Price, stock and ratings in code. It is how you earn rich results and how AI search reads your catalogue. Most stores have it broken or missing.
Search Engine Optimisations from local ranking to global markets.
Can my business still rank well if Google is showing AI answers?