Marketing With Engineering Underneath It
Most marketing problems on a technical product are technical: pages that render too slowly, content search engines can't parse, or attribution nobody trusts. We work on the parts that need engineering as much as copywriting.
What we work on
Technical SEO
Crawlability, rendering, structured data, canonicals, sitemaps and index hygiene.
Core Web Vitals
LCP, INP and CLS treated as engineering budgets rather than a report to admire.
AI search visibility
Structured content and clear answers so AI assistants can cite you, not just rank you.
Analytics & attribution
Event design and reporting that survives cookie restrictions and tells you what worked.
Content strategy
Buyer-intent topics your team can credibly write, rather than generic trend posts.
Conversion optimisation
Fixing the specific step where qualified visitors currently give up.
How search changed
AI Overviews and assistant-based search now answer a large share of queries without a click. That shifts the goal from ranking alone to being the source that gets cited — which favours clearly structured, genuinely specific content over volume.
An honest caveat
We don't buy links, and we won't promise a ranking position — nobody who understands search can, and there is no paid inclusion in AI Overviews or assistant answers whatever a "GEO package" implies. Two more worth saying: most B2B buying now happens where you cannot track it, in communities and peer conversation, so last-click attribution is structurally wrong and we pair modelled attribution with a self-reported-source field. And SEO on a site with no content or authority takes six to twelve months — if you need pipeline this quarter, paid plus conversion work is the honest recommendation.
Discuss Growth
Tell us what you're trying to build. We'll help you figure out what comes next.