SEO for LLMs: How to rank in Large Language Models
In this article, we explore strategies to optimize your website and brand for LLM visibility and improve your chances of being mentioned in AI-generated answers
In this article, we explore strategies to optimize your website and brand for LLM visibility and improve your chances of being mentioned in AI-generated answers
This article explores how shopping behavior is rapidly evolving through the rise of Generative Engine Optimization (GEO) and AI-powered search experiences. With platforms like ChatGPT and Google introducing integrated product recommendations, virtual try-ons, and AI-generated answers within traditional search interfaces, the boundaries between organic and paid visibility are being redefined. Advertisers must now rethink their SEO, SEA, and affiliate strategies to stay visible in AI-driven environments. The article also highlights the growing importance of structured data, high-quality product feeds, and trusted content sources — outlining the new rules for marketers navigating the AI era of digital commerce.
Stepping out of Google Marketing Live 2025, one thing is crystal clear: the future we’ve been discussing in abstract terms has arrived. Google is no longer just a search engine or an advertising platform; it's rapidly evolving into an AI-driven ecosystem where text, voice, video, and images converge to create a truly multimodal and increasingly agentic user experience. For all of our clients in retail, luxury, e-commerce, banking, insurance, and telecom, but also CPG and even B2B, this isn't just another wave of updates – it's a fundamental shift in how brands will connect with consumers and businesses.
In this article, we explore how JavaScript impacts content rendering and indexing, share real-world issues uncovered during a site migration, and explain how to fix visibility drops in Google and AI-driven platforms.
Discover how Agentic AI is driving practical, strategic advantages for digital and data marketers. From autonomous campaign optimization to personalized customer experiences, this technology empowers your team to focus on high-impact innovation.
Learnings from Nike's marketing measurement journey emphasize the significance of a business-first mindset, the evolution of a tailored measurement toolkit, seamless integration into business processes, and fostering a data-driven culture to drive sustainable success.
Last week, Artefact attended Adweek London 2025, held from April 1–3 at 180 Studios. This premier event brought together over 7,000 attendees—including top brands, agencies, and tech partners—creating an exclusive platform for networking and industry collaboration. We focused our time on the Tech Stage, which meant skipping the Innovation and Creative stages.
On the 20th of March, Artefact and Google had the pleasure of co-organizing a special event centered around the launch of Google’s latest innovation in Marketing Mix Modeling (MMM), the open-source model Meridian. This event was a unique opportunity for advertisers and marketers to explore how this cutting-edge tool can revolutionize marketing measurement and optimization.
The rapid adoption of AI agents has major implications for who captures value in consumer transactions—particularly who owns the end customer. In the pre-internet era, the balance of information between retailers and brands was relatively even: Retailers had access to granular, receipt-level data and brands could gather “sell-through” information across the broader market.