Marketing
AI workflow for marketing teams.
10 most common mistakes when implementing AI in a marketing team (and how to fix them)
AI in marketing most often fails not because of the model, but because of the process, data, and responsibilities. An overview of 10 mistakes, operational rules,…
Veo 3.1 vs Runway Gen-4 vs Kling 2.0: comparison of AI video for marketing
How do Google Veo 3.1, Runway Gen-4, and Kling 2.0 perform in marketing practice? The comparison focuses on output quality, character consistency, editing, price, limits, and…
AI Mode in Search: how to change your content strategy when the SERP already provides the answers
Search is changing: users are increasingly getting a usable answer directly on the results page. This is changing the role of content, performance measurement, and topic…
Automation of the weekly marketing report: AI + GA4 + spreadsheets without programming
A practical step-by-step guide on how to build weekly marketing reporting from Google Analytics 4 into spreadsheets without programming and supplement it with AI comments, anomaly…
AI trends 2026: what is changing in productivity and content creation
Discover the key AI trends of 2026 that will impact productivity and content creation. Find out how to effectively implement new technologies and what to watch…
The most important news in AI tools: a practical overview
An overview of the most important new developments in AI tools and their practical use will show which features make sense to implement, where they save…
How much does an AI stack for marketing cost: realistic options
Find out what the real costs of an AI stack for marketing teams are, what options exist, and what to watch out for when implementing and…
