The Studio Máté blog
Field notes from the AI marketing thesis.
Practical writing on AI agents, industrial-scale SEO, and the new shape of marketing for businesses growing past their first ceiling. Published weekly. Built on the same content engine we run for clients — proof, not promise.
What Makes a Customer Service AI Agent Worth Paying For
Deflection flatters dashboards. Resolution rate pays the bills. See the four capabilities, architecture and economics behind AI agents that close tickets.
The Consulting Model Is Breaking: Here Is What Replaces It
The consulting model is breaking as AI collapses the cost of analysis. Here are the 6 shifts replacing hours and decks with outcomes, systems and judgment.
Why Your Agency Website Is Your Most Underperforming Salesperson
Your agency website should sell like your best rep. Here are 7 proven fixes for speed, copy and conversion architecture that turn traffic into pipeline.
How to Use Schema Markup to Win AI Snippets in 2026
Schema markup is the structural layer that decides whether AI engines cite you. Learn the schema markup types, implementation stack and 30-day priorities.
From Lead to Closed: Mapping Your AI Agent Pipeline
Map an AI sales pipeline from first touch to closed-won: what each of the 5 agents does, where the architecture breaks, and what it costs to run monthly.
Why Marketing Agencies That Don’t Adopt AI Will Not Survive 2027
Marketing agencies that skip AI won't survive 2027. Learn how the billing model breaks, what AI-native delivery looks like, and 6 shifts to make now.
How to Build a Website That Ranks and Converts in 2026
Website architecture decides whether your site ranks or stalls. The three layers — technical, content and conversion — turn traffic into pipeline.
Why Brand Mentions Now Outperform Backlinks for GEO
Brand mentions now outrank backlinks in AI search. See how entity associations drive AI citations, which signals matter and how to measure your footprint.
Why Multi-Step AI Workflows Beat One-Prompt Tools
Multi-step AI workflows beat one-prompt tools on error rate, cost and debuggability. See the node architecture and where they pay off fastest.