LLM SEO: How to Get Your Brand Mentioned by AI?

Picture depicting various brands and a question of how to make them crawl in LLM

If you are watching competitors appear in ChatGPT while you don't, you are likely confused about how this new SEO works. Traditional ranking tactics don't guarantee AI visibility. In this article, I explored multiple research studies analyzing thousands of AI responses, examined how each major platform selects brands, and investigated real cases to help you understand what actually drives LLM recommendations.

Why Europe Leads AI Regulation, Lags in AI Power

Europe flag and AI brain

The European Union has spent years crafting the most comprehensive artificial intelligence regulation in the world. It has world-class researchers, Nobel Prize-winning institutions, and a single market of 450 million people. And yet, when you ask anyone to name the world's leading AI companies, the list reads almost exclusively American or Chinese. Something has gone wrong. The question is what.

AI Attribution vs GA4: What Really Drives Conversions in 2026?

Corporate boardroom with marketing analytics dashboard contrasted against futuristic AI data modeling interface.

Attribution has never been a technical debate. It’s a political one. While GA4 represents a meaningful step forward from last-click thinking, it remains structurally limited, Google-centric, incrementality-blind, and constrained by short data retention windows. For organizations allocating serious budgets across Meta, LinkedIn, email, offline, and brand channels, relying on GA4 as the single source of truth risks systematic underinvestment and distorted ROI reporting. The modern measurement stack requires triangulation: GA4 for operational signals, multi-touch attribution for directional insight, and marketing mix modelling for strategic calibration. Anything less is guesswork dressed up as precision.

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