SEO & AI Search
Shopify SEO and AI search work that makes your catalogue easier to find and trust.
We improve the technical, content and product-data foundations that help customers, search engines and answer engines understand what you sell, who it is for and why it is relevant.
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.
Make your catalogue easier to find and trust.
Latest guides
Shopify & Ecommerce
Shopify NetSuite integration: connector fit, ownership and operating cost
Choose between the NetSuite Connector, an integration platform and a custom build by testing fit against your real flows, deciding who owns each record, and costing the monthly work.
Shopify & Ecommerce
Shopify inventory sync problems: state, location, timing and ownership
In the integrations we work on, inventory sync discrepancies usually resolve to one of four things: two systems describing different states, different locations, different moments, or two writers on one field. Here is how to tell which, and what evidence proves it.
Shopify & Ecommerce
Shopify 3PL integration: handoffs, exceptions and go-live tests
A Shopify 3PL integration is five handoffs and a set of ownership decisions. Name who reconciles a short receipt, who resolves short picks, split locations and address changes, and who grades a return, before the first order ships.
Shopify & Ecommerce
Shopify ERP integration: ownership, failures and go-live tests
Define which system owns each record, what happens when a sync fails, and the tests that prove your Shopify ERP integration can support daily operations.
Shopify & Ecommerce
Shopify migration checklist: prove the store is ready to launch
Plan the data, redirects, integrations and cutover tests that determine whether your Shopify migration is ready for real orders. Includes an acceptance worksheet.
Shopify & Ecommerce
Importing Old Invoices into a Shopify B2B Account: The Migration Playbook
Bringing legacy B2B invoice history into Shopify Plus's B2B account schema is the migration that breaks more launches than any other. Here is the five-phase playbook: scope, schema mapping, staged imports, reconciliation, and the failure modes we see most.