SEO & AI Search
Shopify SEO and AI search work that makes your catalogue easier to find and trust.
Search visibility begins in the store
Navigation, collection logic, product data, variants, internal links, structured data and performance all influence whether a useful page can be found and understood. SEO is not an editorial layer applied after the store is built.
Fix the foundations that unblock useful discovery.
Crawl and indexation
So the pages worth finding can actually be found and indexed.URL and canonical hygiene
Clean URLs and canonicals that prevent duplicate, competing pages.Schema and metadata
Structured data and metadata that describe the catalogue accurately.Rendering and performance
Pages that load and render in a way search and customers can use.
Choose the search work the store needs now
Technical foundation
Resolve crawl, rendering, canonical, schema and performance constraints.Catalogue and search content
Improve product, collection and supporting decision content.Ongoing search improvement
Maintain a prioritised technical and editorial backlog with named owners.
Content with a job
Category guidance, product education, comparison content and migration from weak or duplicated legacy pages should help a buyer make a decision. Every content asset needs an owner, source, update rhythm and a clear relationship to the catalogue.
Search and answer readiness, not AI theatre
We make source pages specific, structured, current and attributable. We do not promise a ranking, citation or answer placement in a particular search or AI product.
Measure the work
Track visibility, qualified landing-page behaviour, catalogue discovery and conversion paths while naming the attribution limits that remain.
How we report search work
We report visibility, qualified landing-page behaviour and catalogue discovery, and we say where attribution is uncertain rather than claiming a placement we cannot control. Named search case studies are added here as clients approve their use.