Service
Shopify SEO that starts with what’s actually broken
Structured data, metadata and site architecture, fixed in that order.
A lot of Shopify SEO advice starts with content strategy, which is backwards for most stores. If product pages are missing structured data, or half the catalogue has no meta description, new content isn't going to fix that — it just means there's more broken content than before. Collection pages built entirely from filtered URL parameters are a quieter version of the same problem: search engines see hundreds of near-duplicate URLs instead of one canonical collection page.
Metafields make good structured data possible on Shopify in a way flat product descriptions don't — a metafield-driven spec sheet can feed Product structured data far more precisely than a paragraph of prose ever could, but only if it's set up to be read that way.
How it works
Process
01
Audit
Structured data, metadata coverage, and indexation across products, collections and articles.
02
Fix
Implement structured data and metadata where it’s missing or broken, and fix canonicalization on filtered URLs.
03
Structure
Recommend information architecture changes, once the technical foundation underneath them holds up.
What’s included
Deliverables
- Technical SEO audit (structured data, metadata, indexation)
- Structured data implementation
- Metadata coverage across the catalogue
- Canonicalization fixes on filtered/faceted collection URLs
- Information architecture recommendations
Questions
Questions we get asked
Do you also write content?
This service is technical SEO. Content strategy is scoped separately, once the technical foundation — structured data, metadata, indexation — is actually fixed.
Do you guarantee rankings?
No one honestly can, and anyone who does is selling something else. We fix what’s measurably broken and report what changed in indexation and coverage.
What about filtered collection pages — do they need noindex?
Often yes, or a canonical back to the parent collection — it depends on whether the filtered view targets real search demand or just fragments the same products across dozens of near-duplicate URLs.