About / Founder-led practice
One person
accountable for the work.
Raga Marketing helps businesses adapt their SEO, content and internal systems for AI-driven discovery — ChatGPT, Perplexity, Google AI Overviews — without abandoning what already works in traditional search. Founded in 2014, based in Kincardine, Scotland.
The founder
Riccardo Rigamonti
Founder and hands-on project lead
With 20+ years in digital marketing, Riccardo has worked on measurable online growth across SEO, PPC and full-stack digital strategy for European brands. He founded Raga Marketing in 2014 to give businesses senior-level strategy without the layered agency overhead.
Based in Scotland, he works hands-on with every client — local trades through to scaling tech companies. No junior account managers, no abstraction.
Work with RiccardoFinance
Francesca Pili
Finance Manager
Francesca runs the financial side of Raga Marketing — invoicing, collections, and payment tracking — keeping day-to-day operations smooth so the rest of the team can focus on client work.
What guides the work
Values.
- 01
Innovation First
We test new AI search techniques on our own site first, then roll the ones that work to clients.
- 02
Results Driven
Every strategy we run is built around measurable outcomes — traffic, rankings, qualified leads — not vanity metrics.
- 03
Client Partnership
We build long-term partnerships, not transactional client relationships. Your success is how we measure ours.
- 04
High Standards
We hold the work to a high bar — strategy, execution, reporting. If we wouldn't ship it for our own site, we don't ship it for yours.
Why Raga
What you can expect.
Senior Expertise
20+ years across traditional SEO, paid media, and AI search — applied directly to your account.
Hands-On Founder
You work directly with Riccardo. No junior account managers, no layers of abstraction.
Measurable Results
Quarterly re-audits, transparent reporting, and a clear line between the work and the numbers.
A consistent way of working
Understand it.
Build it.
Check it.
Start with the real process and a useful outcome, build around the tools and information already in place, then check the behaviour, document the limits and make the next step clear.
See how that looks in practice in the case studies, or read the regular notes on AI and search on the blog.