A data and AI consultancy for two jobs: making sure AI search engines mention your brand when customers ask, and making your analytics trustworthy. 16 years inside enterprise analytics, with the software products that grew out of it.
We measure how AI search engines see your brand, we make enterprise analytics trustworthy, and we build the software tools that grew out of both.
Know whether ChatGPT, Perplexity, and Google AI Overviews mention your brand when customers ask, then fix what is missing. A measurement system, not a workshop.
Reliable tracking, clear governance, and a team that can run its own analytics. 16 years inside enterprise marketing, with named clients to match.
Tools we built from problems we kept hitting in client work. Real products, live in production, used by real teams.
A free briefing every two weeks on what is changing across ChatGPT, Perplexity, and Google AI Overviews, and what it means for your brand. Read the latest issue and sign up in under a minute. Separate from the paid audit.
You typed your brand into ChatGPT and your competitors showed up instead of you. Your SEO agency cannot explain it, and your boss will ask about AI search next quarter. You need a real measurement and a fix list, not a strategy deck.
You work with GA4, GTM, and campaign data daily. You need tracking implemented correctly, governance that doesn't slow you down, and tools that fit your stack. We build what you'd build yourself if you had the time.
You approve the consultants, evaluate the frameworks, and answer to the board. You care about structure, predictability, and whether your team will be self-sufficient after the engagement ends. The 3 Pillars framework was designed for this conversation.
No account managers, no junior handoffs. The senior person who scopes the work is the one who does it.
16+ years in enterprise digital analytics. I have built tracking and reporting frameworks for Metro AG, Mazda Motor Europe, Motel One, and Zürcher Kantonalbank. Today I run Creative Data Engineers as a solo founder: AI search visibility, analytics consulting, and the software products that grew out of client work, Aspectr, Trakr, and Measr, all built and shipped, not slideware.
I also teach AI automation as Community Lead of Agent-J+. When a project needs more hands, I bring in a trusted, growing network of specialists across product, data engineering, and AI, so you get senior depth on demand without a bloated agency.
Named clients including Mazda Motor Europe, Metro AG, Motel One, and Zürcher Kantonalbank. From strategy to implementation, we cover the full lifecycle of marketing data, plus the Standard Tracking Concept, our ready-made framework covering 19 tracking areas.
Tracking concepts, tag management, datalayer design, QA, and integration support. Tool-agnostic.
Clear data visualization tailored to your audience. Looker Studio, BigQuery, custom solutions.
Interpret the data, deliver hypotheses, and recommend next best actions for your business.
Understand your business, derive the right KPIs, align teams on what matters.
Server-side tagging, data pipelines, CMP setup. Cloud or on-premise infrastructure.
AI workflows, marketing automation, anomaly detection. We build what doesn't exist yet.
Software tools built from problems we kept hitting in client work. Live in production, used by real teams.
Campaign URL governance for GA4 teams. Guided syntax, channel validation, and a shared taxonomy that keeps your reporting clean.
Self-hosted analytics toolkit for teams that own their tracking. Dashboards, anomaly detection, and data quality monitoring, powered by your own Supabase instance.
We build AI systems in the open and show the architecture end to end. The same engineering behind our AI Search Visibility work and our products.
Five live sources, read every week, deduped to only what is new, then drafted into a report.
Read → Email & list systemDouble opt-in, a confirmed list, two human approval gates, and one-click unsubscribe.
Read →We apply this proven framework to every project. It brings structure, clarity, and transparency, fast.
Reliable, clean, structured data. The non-negotiable starting point. If the data is wrong, every decision built on it is wrong.
Structured processes, clear ownership, documented standards. Quality doesn't degrade as teams and tools change.
Empowered teams that understand and use data daily. Trainings, workshops, and storytelling that makes analytics accessible.
What clients ask before we start working together.
Enterprise marketing teams across automotive, retail, ecommerce, fashion, hospitality, and financial services. Current and past clients include Mazda Motor Europe, Metro AG, Motel One, and Zurcher Kantonalbank.
Usually a team needs someone to own their analytics. We come in, check the existing tracking, then scope the work together: what needs fixing, what needs building, what reporting and KPIs the team actually needs. From there we move into implementation.
Consulting is custom work for your team: tracking concepts, implementation, reporting, KPI strategy. Products (Aspectr, Trakr, Measr) are standalone tools we built from patterns we kept seeing across client work. Both are built by the same person, so the products reflect real client problems and the consulting stays close to what actually ships.
Both. We work directly with brand marketing teams and as a specialist partner to agencies who need analytics depth they do not have in-house.
No. SEO is about ranking blue links on Google: keywords, backlinks, page-one positions. AI Search Visibility measures and improves whether AI systems mention, cite, and recommend your brand when customers ask. Different signals, a different deliverable, and often a different team. We do not do keyword research or backlink work.
ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini, plus any other model a client asks us to include. We also run real browser testing in the actual AI products your customers use, not just API calls, so the numbers match what people really see.
Book a free 30-minute call to discuss your analytics challenges, automation opportunities, or product ideas. No commitment, no pitch — just a real conversation.
External references covering the standards and platforms we build on.