More Shoppers.
More Sales.
With E-commerce SEO.

Most online purchases start with a search. SEO puts your categories and products in front of that demand at every stage, building an organic acquisition channel that keeps working alongside paid advertising rather than depending entirely on it.

A technical audit, keyword and search-intent research, architecture review, category and product page optimization, internal linking, structured data, supporting content, and authority building, followed by ongoing measurement and refinement.

By writing a clear title and H1, unique product information rather than copied manufacturer text, complete specifications, optimized images and alt text, accurate pricing and availability, genuine reviews, Product structured data, correct variant/canonical handling, and fast page performance.

Optimization done directly on category, product, and content pages: titles, meta descriptions, heading structure, copy, images, internal links, breadcrumbs, and structured data, tailored to what each page type needs.

There isn't a single answer. Shopify, WooCommerce, BigCommerce, Adobe Commerce, and other established platforms can all perform well when configured correctly. The right choice depends on your catalogue, development resources, and technical needs. We work across all major platforms.

Yes, with caveats. Shopify handles hosting, speed baselines, and routing well, but collection structure, duplicate product URLs, and app script bloat all need attention. Shopify doesn't solve those automatically.

Neither is categorically better. Shopify offers a more managed environment with fewer moving parts to break; WooCommerce offers more flexibility through WordPress but depends more on plugin and hosting choices. Stores on either platform can rank well when the technical setup is handled properly. The bigger factor is usually execution, not the platform itself.

With clear keyword and intent targeting, unique category copy (not filler written purely for length), a logical position in the site hierarchy, internal links from related products and guides, sensible use of filters and facets, and structured data where it's genuinely applicable. Merchandising and SEO need to work together, not against each other.

The infrastructure work that lets a large catalogue be crawled and indexed correctly: crawl budget, canonicalization, XML sitemaps, robots directives, JavaScript rendering, Core Web Vitals, mobile usability, redirects, and orphan pages. It matters more for stores than smaller sites because a single systemic issue gets multiplied across every product URL it touches.

Category pages capture broader commercial demand, from shoppers looking for a type of product. Product pages capture specific demand, from shoppers who know exactly what they want. Both need to be optimized without competing against each other for the same search.

It depends on how differently people search for each variant. A genuinely different product (a different model, not just a colour option) usually earns its own indexable page. A simple size or colour swatch usually doesn't, and is better handled with a canonical tag pointing to the primary product page to avoid duplicate content.

Case by case. Some filtered views represent real search demand and deserve their own indexable page; most narrower combinations don't and should be controlled through canonical tags or indexation rules instead.

Temporarily out-of-stock products, expected to return, are usually best kept as-is. Permanently discontinued products are handled case by case: pointing to a genuine replacement or the parent category, or keeping the page live if it still serves search demand.

Through a full URL inventory and mapping, planned redirects, careful handling of metadata, content, canonicals, structured data, and internal links, updated sitemaps, and close monitoring after launch. This reduces risk significantly, though it doesn't guarantee zero impact.

Early technical and architectural changes can show effects within a few months; meaningful organic revenue growth typically builds over six to twelve months and continues compounding after that.

It depends on catalogue size, platform, current technical condition, competitiveness, and how many markets you operate in. We scope pricing after an initial audit. Get in touch for a quote specific to your store.

Shoppers are increasingly getting product recommendations from AI Overviews and AI shopping tools. The fundamentals that help (accurate structured data, clear product information, genuine reviews, and a crawlable site) are largely the same ones that support traditional search.

Look for a team that can explain what they're doing and why in plain language, gives you access to your own analytics and Search Console rather than a black-box dashboard, doesn't guarantee specific rankings, and can speak concretely about your platform and catalogue rather than offering a generic monthly package. An initial audit is a reasonable way to evaluate this before committing to ongoing work.