Search Engine Optimization

Search engine optimisation has stopped being a checklist exercise. Google evaluates whether a page genuinely satisfies the intent behind a query, whether the site is technically sound enough to crawl and render efficiently, and whether the domain demonstrates real expertise. Tactics that gamed those signals a decade ago now actively hurt.

Technical foundations first

There is no point publishing content on a site search engines struggle to crawl. We start with a full technical audit: crawlability and indexation, site architecture and internal linking, Core Web Vitals, structured data, canonicalisation, redirect chains, and JavaScript rendering. On larger sites, crawl budget waste and index bloat are frequently the single biggest constraint, and fixing them alone can lift performance before a word of content is written.

What a technical audit covers

Robots and sitemap configuration, HTTP status handling, duplicate and thin content detection, hreflang for multi-region sites, mobile parity, page experience metrics, and schema coverage. Each finding is prioritised by likely impact against implementation effort, so engineering time goes where it pays.

Intent-led content, not keyword stuffing

We map keywords to the underlying intent and the page type that actually ranks for it. A query returning comparison articles will not be won with a product page, however well optimised. That mapping drives an architecture of hub pages and supporting content that reinforce each other through internal links, building topical authority rather than isolated posts.

Authority and entity signals

Links still matter, but relevance and editorial context matter more than volume. We focus on digital PR, genuinely useful resources that earn citations, and consistent entity signals across your site and third-party profiles. We do not buy links or use private blog networks, both of which carry real risk of manual action.

Optimising for AI answer engines

A growing share of queries never produce a click, resolving instead inside AI Overviews, ChatGPT, or Perplexity. Being cited in those answers depends on clear semantic structure, factual density, schema markup, and content that directly answers questions in extractable passages. We build for that alongside traditional ranking.