AI Search

AI search is reshaping how people find information online, and how content gets discovered, cited, and surfaced when the answer itself, rather than a list of links, is the product.

AI search refers to the generation of direct answers by large language models (LLMs) and AI-powered search engines, in place of (or alongside) the traditional ranked list of blue links. Systems like Google’s AI Overviews, Perplexity, ChatGPT Search, and Microsoft Copilot synthesise information from across the web and present a conversational response, often with citations.

This shift changes what it means to “rank”. Visibility in AI search is about whether your content is retrieved, parsed, trusted, and cited by the system generating the answer.

Core AI search elements

  • AI Overviews. Google’s generative answer feature, shown at the top of many results pages. Appearing as a cited source requires comprehensive, accurate, well-structured content.
  • Generative Engine Optimisation (GEO). The practice of structuring content for retrieval and citation by AI answer engines. Overlaps with traditional SEO but emphasises entity clarity, source authority, and direct answer formats.
  • llms.txt. An emerging convention for declaring an AI-readable index of a site’s most important content.
  • Entity SEO. AI systems reason about entities (people, organisations, products, concepts) more than they reason about keywords. Establishing what your site is and what it covers helps LLMs cite it accurately.
  • ChatGPT Search optimisation. How ChatGPT’s web search retrieval works and what content patterns it favours.
  • Perplexity citation strategies. How Perplexity sources its answers and how to be one of those sources.
  • Google AI Mode. Google’s conversational search tab, how it differs from AI Overviews, and what content it retrieves and cites.

Why AI search matters

The share of searches that return an AI-generated answer is growing rapidly. For informational queries in particular, AI Overviews are becoming the dominant surface. Sites that aren’t optimised for generative retrieval will see organic traffic decline even if their traditional rankings hold.

AI search also introduces zero-click risk at scale. If an AI summarises your content and provides the answer directly, users may never visit your site. Citation and brand visibility in AI responses is a new form of organic reach that matters independently of click-through rate.

AI search and E-E-A-T

AI systems are trained to favour content that exhibits genuine expertise, clear authorship, and factual accuracy. The same E-E-A-T principles that influence Google’s quality raters also shape what AI engines choose to cite. First-hand experience, named authors, cited sources, and content that goes beyond surface-level coverage all improve the chances of being surfaced in AI-generated answers.

The brands and publications that dominate AI citations over the next few years will be those that invested in genuine authority, not those that optimised purely for keyword placement.

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