Learn what AI brand monitoring is, why it matters, and how LLMs like ChatGPT influence brand visibility – with real data from our Smart Ring Study. 

AI search engines don’t just look up one answer – they break every query into dozens of sub-questions behind the scenes. This process, known as query fanout, determines which content gets cited in AI-generated responses. In this guide, Peak Ace explains how fanout works, why it matters for marketing, and shares a practical framework for optimising your content to show up where it counts.

Digital PR is making a serious comeback – and AI search is the driving force. With 82% of LLM citations coming from earned media, brands that invest in strategic, citation-ready PR content are the ones getting recommended by AI. This guide covers how to optimise for Generative Engine Optimisation (GEO), which outlets to target, what content formats get cited, and how to monitor AI visibility over time.

Traditional search is shifting fast – and AI-powered answers are taking centre stage. LLMO (Large Language Model Optimisation) is the practice of making a brand a trusted, citable source for AI systems like ChatGPT, Perplexity, Gemini and Copilot. This deep dive breaks down how LLMs retrieve and cite content, which signals actually drive AI visibility (spoiler: it’s not backlinks), and what concrete steps brands can take to earn citations – all backed by real data from numerous industry studies.

AI engines cite different sources – but recommend the same brands. BrightEdge’s 2026 multi-engine research reveals that source overlap between ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode sits at just 16–59%, yet brand agreement runs significantly higher at 36–55%. This article breaks down each engine’s unique trust profile, explains why brand authority transcends individual citations, and outlines a practical two-pronged strategy for building AI visibility across all five platforms.