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,

If you searched "AI SEO" to land here, here's the first thing worth knowing: none of the major AI systems actually use that term. Ask ChatGPT, Gemini, Perplexity or Google's own AI Mode to explain the difference between AI search strategies, and every one of them answers in a different vocabulary - SEO, AEO, GEO. Three letters, three letters, three letters, not "AI SEO" anywhere. That's not a contradiction, it's just a gap between how people talk and how the systems themselve

Rank on page one of Google and still not exist as far as ChatGPT's concerned or the other way round, confidently recommended by ChatGPT while barely showing up in an AI Overview. That's not one platform malfunctioning. Frustrating? Definitely but it's fixable too. Each system is assembling its answer from a different set of retrieved sources, weighing evidence differently, and understanding your business as an entity to a different degree. Which means AI visibility isn't one