Blog

What Happens to Search When AI Takes Over – and How Not to Get Left Behind

Online search is changing radically: AI is no longer displaying classic results, but synthesizing direct answers, making SERP ranking irrelevant. This article explains the new 'search stack' built on vectors, embeddings, knowledge graphs, and LLMs, offering a practical guide for sites to stay visible in the AI era. Concrete optimization strategies and the advantages of adapting to new information retrieval flows are analyzed.

Alexandru Marcu

7/2/2025

Google updates structured data for events and recipes

Google has released major changes to Event and Recipe structured data, clarifying restrictions for eligibility in Google Search rich results. Only physical, public, and bookable events remain eligible, while for recipes, image optimization goes beyond just using markup. Constant auditing and adaptation to new rules are essential for maintaining organic visibility.

Alexandru Marcu

7/2/2025

Google DeepMind: Why Google Wants to Be a Leader in Both AI Search and Virtual Assistants

Google isn't choosing between the evolution of AI search and the development of intelligent virtual assistants—it aims to dominate both fields. This article analyzes Google's strategy to reshape the digital ecosystem through AI Overviews and AI Mode, their impact on SEO and publishers, and the trends forcing online companies to adapt quickly. It emphasizes the importance of relevant content, solid SEO structure, and quality responses in an AI-first era.

Alexandru Marcu

7/2/2025

5 practical SEO experiments with AI as a co-pilot

This article explores five practical SEO experiments that use artificial intelligence to accelerate and refine SEO workflows. It presents concrete examples of rapid idea validation, content optimization, faster indexing, crawlability analysis, and benchmarking content velocity. The focus is on smart human-AI collaboration for real results, with minimal risk and resources.

Alexandru Marcu

7/2/2025