Model
Separate reusable meaning from page-specific presentation.

CMS migration
A CMS migration should simplify models, clarify governance, and give teams a better publishing system. Copying the old database into a new product leaves the underlying problems intact.
Before migration
We map content types, relationships, locales, media, URLs, workflows, integrations, and editorial pain before defining the target model.
Separate reusable meaning from page-specific presentation.
Design roles, drafts, review, preview, and publication around the real team.
Transform, validate, and reconcile content with repeatable scripts.
Preserve URLs, metadata, structured data, and redirect requirements.
How we work
We begin with the commercial and operational constraint, align the experience and architecture, then ship in reviewable increments. The team that frames the problem remains accountable through launch.
Align the market, customer, business case, constraints, and definition of success.
Turn the strategy into journeys, content, systems, and prototypes that can be tested.
Engineer the storefront and integrations with performance, accessibility, and maintainability in view.
Use launch data, customer behavior, and operating feedback to prioritize the next release.
Common destinations
We often pair Sanity with Next.js or a Shopify headless storefront, but the migration method starts with requirements rather than a preferred vendor.
Current content estate
Posts, media, and custom fields
Collections and presentation-dependent content
Structured entries, pages, and campaigns
Custom databases and undocumented dependencies
Target operating model
Reusable models and clear relationships
URLs, metadata, sitemap, and JSON-LD reconciled
Preview, locales, roles, and reusable blocks



Account for content types, locales, files, URLs, and owners.
Run versioned scripts that can be repeated and inspected.
Compare record counts, relationships, media, and rendered output.
Test redirects, publishing, rollback, and the final content window.

B2B commerce
Buyers do not resist digital purchasing. They resist systems that make a familiar order harder. Start with repeat orders, account pricing, payment terms, and sales-assisted self-service.

Conversion optimization
Conversion work compounds when diagnosis, hypothesis, experiment, and documentation repeat as one disciplined operating cycle.

AI discovery / GEO
GEO starts with specific, attributable, structured information that customers and answer systems can verify. Generic publishing volume only adds noise.
Common questions
Often, depending on volume and launch risk. The plan may use a content freeze window, incremental sync, or a dual-entry period.
No. We identify obsolete, duplicated, and presentation-only fields so the new model does not inherit avoidable debt.
Start with the real constraint
Bring the market, platform, and operating questions you are working through. We can separate confirmed requirements, open assumptions, and work that needs further assessment before scope is set.