Content architecture

Content and search architecture specification

A useful content system makes the relationship between pages obvious to people and machines.

Page architecture

Each important page should have a clear purpose and a clear relationship to the broader site.

  • Single primary intent
  • Descriptive title
  • Logical H1/H2 hierarchy
  • Related-page links
  • Consistent canonical URL
  • Useful calls to action

Topic depth

Simple landing pages can link to deeper pages for visitors who want evidence and technical detail.

  • Detailed information
  • Technical specification
  • Scope of work
  • FAQ
  • Technology stack
  • Supporting articles

Measurement

Content decisions can be informed by search and behaviour data where authorised.

  • Search Console queries
  • GA4 landing-page performance
  • Conversions
  • Campaign parameters
  • Internal search behaviour where available
Technology

Google search, measurement and business services

Search, analytics, advertising and business services work best when the website is structured and measured properly.

Full text list

  • Google Search Console — Indexing, crawl visibility, search queries, coverage and site health. Provider information
  • Google Analytics — Traffic, engagement and conversion measurement. Provider information
  • Google Tag Manager — Controlled deployment of measurement and conversion tags. Provider information
  • Google Workspace — Business Gmail, Drive, Calendar, Meet and productivity services. Provider information
  • Google Ads — Paid search, conversion tracking and campaign measurement. Provider information
  • PageSpeed Insights — Performance and Core Web Vitals diagnostics. Provider information
  • Google Business Profile — Local business visibility and public business information. Provider information
  • Google Merchant Center — Product feeds and shopping visibility where relevant. Provider information
Technology

Web standards, code and frameworks

We are not locked to a single framework. Straightforward sites should stay straightforward; applications can use deeper stacks when justified.

Full text list

Technology

AI-assisted production stack

AI accelerates research, implementation, testing and iteration. Human engineering judgement remains responsible for the finished work.

Full text list

Need the simple version?

The detailed pages exist for customers who want to inspect the engineering. The customer-facing offer remains deliberately straightforward.