Questions about ecommerce SEO and AI search.

AI SEO is optimisation aimed at search experiences that generate answers rather than only ranking links. It combines classic technical and content SEO with entity clarity, structured product information and corroborating sources, so a brand can be understood well enough to be included in generated responses.

AI search visibility describes how often and how accurately a brand, product or page is surfaced inside AI-generated answers — as a mention, a recommendation or a cited source — rather than simply where it ranks in a list of results.

Assistant-style search combines what a model already knows with information retrieved at query time from the web and connected sources. The retrieved pages are summarised into an answer, and the sources considered most relevant and trustworthy may be named or linked.

Make the information machine-readable and easy to verify: consistent entity signals, complete product data, clear structured markup, direct answers to real buying questions, and corroboration from independent sources that describe the brand the same way.

Indirectly, yes. AI systems draw on retrievable, well-structured and corroborated information. Improving the quality, clarity and consistency of that information improves the chance of being included — but no agency can guarantee a specific recommendation or placement.

AI citations are the sources an answer engine names or links when it produces a response. They act as the modern equivalent of a ranking position: being cited means your page was used to construct the answer.

Shopify SEO works within the platform's fixed URL patterns, collection and variant behaviour and theme templates. The work concentrates on collection architecture, canonical and duplication control across product paths, template-level metadata and structured data, and internal linking that spreads authority through the catalogue.

Amazon is a closed marketplace with its own ranking system driven by relevance and sales performance rather than links. Optimisation focuses on listing data, titles, attributes, images, backend keywords and conversion signals — separate from, but complementary to, your own store's SEO.

WooCommerce gives more control and therefore more responsibility. Attention typically goes to hosting and performance, plugin-driven bloat, attribute and taxonomy structure, faceted URL control and keeping generated pages out of the index when they add no value.

The platform decides what is technically possible. Knowing its URL rules, template limits, indexation behaviour and structured-data support determines which fixes are worth prioritising and which need a workaround.

Engagements usually begin with a diagnosis of the current search and AI visibility position, followed by a prioritised roadmap and ongoing implementation support across technical foundations, architecture, content and authority.

Scope is matched to the size of the catalogue and the stage of the business. Smaller stores generally start with foundations and architecture; larger catalogues need template-level and crawl-scale work.

Yes — work is delivered remotely and the approach applies to any market. International setups add hreflang, market-level architecture and localisation considerations to the scope.

We review your store, platform and current visibility, discuss where demand and answers are being lost, and outline the highest-impact priorities. You leave with a clearer view of what to do next, whether or not you work with us.