SEO services

Technical SEO is an engineering discipline. It covers what a crawler can reach, what it can render, how quickly, what entities it can resolve from the markup, and what happens to accumulated authority when URLs change. None of that is content strategy, and all of it is a prerequisite for content strategy to work.

The work starts with a crawl and a log review: what is indexable, what is duplicated across parameters and pagination, where internal links concentrate authority, which pages are orphaned, and what crawlers actually spend their budget on. That produces a prioritised list ordered by impact, not a two-hundred-item export.

Structured data is where most sites leave the largest gap. Not just adding JSON-LD, but building a connected entity graph: an Organization that owns its products, services that reference their provider, articles that resolve to a publisher, breadcrumbs that match the URL hierarchy. This is what lets a search engine, and increasingly an AI assistant, state a fact about your company with confidence rather than paraphrasing a page.

AI answer engines have made that difference material. Assistants synthesise from sources they can parse and attribute, which rewards clean semantic markup, explicit entity relationships, machine-readable summaries such as llms.txt, and pages that answer a specific question in full. We build for both traditional ranking and citation in generated answers, because the same underlying structure serves each.

Migrations are where search equity is most often lost, and it is entirely avoidable. Every existing URL is mapped to a destination before cutover, redirects resolve in a single hop, metadata and structured data carry across, and Search Console is monitored through the transition so a regression is caught in days rather than discovered a quarter later.