One Brain for All of Marketing — A Marketing OS for Multiple Companies

The Situation

Several companies, each with the usual sprawl: Google Ads here, Meta there, LinkedIn somewhere, two or three websites, Google Analytics, Search Console, a CRM, and a handful of spreadsheets that were supposed to tie it all together.

Answering a simple question like "how did last month go and what should we do differently?" meant opening eight tabs, exporting five CSVs, and losing most of a day. So the question got asked less often than it should have. Decisions were made on gut feel, not because anyone preferred that, but because the data was too expensive to reach.

What I Built

A marketing operating system: one AI layer with live connections to everything, so the data comes to you instead of the other way round.

• Every source connected. Google Ads, Meta, LinkedIn and the other paid channels through their APIs. Every website through Google Analytics and Search Console. Ahrefs for SEO. The CRM for what actually turned into pipeline. Built on Claude and MCP connectors, running on Google Cloud.
• Ask it in plain language. "Which campaigns brought signups last week?" "Why did organic traffic drop on the Finnish site?" "Compare Meta and Google cost per lead this quarter." The answer comes back with the numbers, not a link to a dashboard.
• Cross-channel recommendations. Because it can see everything at once, it spots things a channel-by-channel view never would. Budget sitting in a channel that produces clicks but no customers. A page that ranks but converts nothing. A campaign whose leads never get followed up.
• The same brain, per company. Each company gets its own instance with its own connections and context, so the setup is reusable but the knowledge is not shared.

The Results

• "How are we doing?" went from a day of work to a question you type. It now gets asked every week instead of every quarter.
• Recommendations arrive with the report, ranked. The team's job changed from assembling data to deciding which recommendation to act on.
• Humans still make every call. The system says "this looks worth doing." A person decides whether it is a priority, whether the content is right, whether the budget moves. That split is deliberate.

Why It Worked

Marketing teams do not lack data. They lack the time to look at all of it together. Once one system can see every channel, the insight is cheap and the human effort goes where it belongs: judgement.