Algorithmic marketing.
Measured results.

Algorithmic marketing replaces intuition-driven campaigns with engineered systems: programmatic SEO that builds topical authority at scale, automated outreach that earns press and backlinks, and predictive analytics that reallocate budget to winning channels in real time.

It can be, and it can also go badly wrong. Google's March 2024 scaled content abuse policy targets pages generated at scale primarily to manipulate rankings rather than to help anyone, and it does not care whether a human or a model wrote them. The distinction that matters is whether each page answers a real query from real data. We build from a genuine data source, hold pages back where the data is thin, and treat a page that helps nobody as a page not worth shipping.

The system monitors the news cycle, identifies journalists actively covering your topic and drafts personalised pitches referencing their recent work. A person on your side approves and sends every pitch — the automation is in the research and the drafting, not the sending. Media contacts are personal data, so outreach carries an opt-out and is processed under a documented legitimate-interest assessment.

Every subsystem reports live telemetry: keyword rankings and organic traffic for SEO clusters, placements and referring-domain growth for outreach and link building, and channel-level ROAS for predictive budget allocation. You see exactly where every euro of spend is working.