AI Search & Visibility Insights

How ranking works in traditional search Ranking orders pages, not answers Traditional search engines are built to assess and organise information into the best possible options for a given query. When a user searches, the system retrieves a set of web pages and orders them based on relevance and authority. The outcome is a ranked list… first, second, third, and so on. It is designed to present options, not conclusions. Ranking does not determine what information or brand is u

How AI moves from trust to repetition. Learn how brands become reused in AI answers through association, categorisation, and consistent patterns.

Over the past year, a new phrase has started appearing everywhere in marketing conversations: “Optimise for ChatGPT.” Guides promise ways to “rank in AI answers” or “optimise your website for ChatGPT.” But there’s a problem. Much of this advice is built on a misunderstanding of how AI systems actually work. If you're unfamiliar with how AI systems decide which brands or sources to reference, this article explains the mechanism in detail. How AI Systems Decide Which Brands to

If you look closely at AI-generated answers, a pattern appears: tool brands are mentioned by name far more often than service businesses. When someone asks about project management software, specific platforms are listed, but when someone asks about marketing consultants, the answer is often general advice. This difference is not random. It reflects how AI systems decide which entities they can confidently include inside generated answers. AI Mentions Are Selective, Not Compr

Some brands appear in AI answers repeatedly while others never show up at all. This isn't random, and it isn't about who publishes the most. AI systems don't rank pages the way traditional search does, they predict which brand entities they understand well enough to name with confidence. If a brand appears in an answer, it's because the model recognises it as a defined entity, the context matches what it knows, and it's confident enough to include it. If a brand doesn't appea

Search behaviour didn't just shift, it kept moving. AI Overviews now trigger on close to half of all Google searches, up from roughly a third a year earlier. Pew's most recent count puts ChatGPT usage among US adults under 30 at 61%. The takeaway hasn't changed, it's only sharpened: if your business isn't built to be understood by both, you're not just losing rankings, you're losing the conversation before it starts. *AI Overview trigger rate: BrightEdge / Advanced Web Rankin

New Zealand businesses are now being found through ChatGPT, Gemini and Google AI Mode, not just ranked pages. That's not a future shift to prepare for, Google AI Mode has been live in NZ for close to a year, and it's already how a growing share of searches get answered. Optimising for one of these doesn't automatically cover the others, each system retrieves, interprets and cites information differently, which means "AI optimisation" isn't one task it's several related ones,

Search is changing. For years, businesses have focused on getting found in Google, that has usually meant investing in SEO - improving website content, working on technical performance, building authority, making sure the business appears when people search for its products or services. This still matters but people are no longer only typing a few words into Google and scrolling through a list of links. They're asking ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google'

Google something, then ask ChatGPT the same question, and the answers rarely match. That's not inconsistency for its own sake, the two systems are built to answer questions in genuinely different ways, using different information at different points in time. It's not, as it's sometimes put, that Google prefers blog posts and ChatGPT prefers checklists. The real difference is architectural, and understanding it matters more than guessing at content formats. Why the Answers Act