What AI search optimisation actually means

AI search optimisation, sometimes called generative engine optimisation, is the practice of structuring your website and your business information so tools such as ChatGPT, Google AI Mode and Perplexity can find, understand and confidently repeat facts about your business. It sits alongside SEO rather than replacing it. Traditional SEO chases rankings and clicks. AI search optimisation chases citations, meaning your business gets named as the answer inside a generated response, often with no click at all.

For an NZ small business, this shift is already changing how enquiries arrive. A visitor asking an AI assistant “who does the best website design in Auckland” either gets your name or a competitor’s. There is no page two.

Why this matters for NZ small businesses right now

New Zealand’s market is small enough that a handful of well-optimised competitors can dominate AI-generated answers in a category before most local businesses even notice the shift happened. Industry research into pages actually cited by AI tools found that roughly seven in ten pages cited by ChatGPT, and about two in three cited inside Google AI Mode, include structured data of some kind. That is not proof structured data causes citation, but it is a strong signal that AI systems lean on content that removes ambiguity about what a business does, where it operates and what it charges.

The businesses getting cited are not necessarily the biggest. They are the clearest.

What actually works: the proven levers

Strip away the hype and four things consistently correlate with AI visibility.

• Third-party mentions. Being named on directories, local news sites and industry publications correlates with AI citation more strongly than backlinks alone. AI models trust what other sources say about you more than what you say about yourself.
• A complete, consistent Google Business Profile. Your business name, address, phone number, hours and categories need to match exactly across your website, your Google Business Profile and every directory listing. Inconsistency is one of the fastest ways to get quietly dropped from consideration.
• Review volume and recency. A steady stream of recent reviews on Google and relevant industry platforms is a high-weight trust signal for both traditional search and AI summarisation.
• Answer-first content. Write headings as the actual questions customers ask, then answer them in the first sentence or two that follows. “How long does a small business website take to build” works far better than “Our Process” as a heading, because AI tools are built to extract direct answers, not interpret vague ones.

Schema markup for small business websites: the technical layer that supports it

Schema markup is structured code added to your pages that tells search engines and AI systems exactly what they are looking at: your business type, service area, opening hours, pricing and FAQs, written in a format machines parse cleanly rather than guess at from prose. Google has said no special schema is required for AI Overviews specifically, but schema still reduces the ambiguity that stops an AI system from confidently citing you, which is why it shows up so often on pages that do get cited.

For most small business sites, the highest-value schema to add first is Organization or LocalBusiness schema on the homepage, and Service schema on your core service pages. If you run an industry-specific operation, it is worth looking at how more granular structured data gets used elsewhere, such as in our breakdown of vehicle schema markup for car dealers, which shows the same principle applied to a single product category.

What does not move the needle yet (despite what you will read elsewhere)

An llms.txt file, a plain text file some agencies will tell you to publish at your site’s root to “brief” AI models on your business, is the most overhyped tactic in this space right now. It takes under an hour to write and costs nothing, so there is little harm in adding one. But Google has stated publicly it does not use llms.txt, ChatGPT does not reliably fetch it, and there is no independent evidence yet that it improves citation rates. Treat it as a nice-to-have for future-proofing, not a priority task.

Similarly, there is no paid placement inside ChatGPT, Gemini or Perplexity’s organic answers. Anyone offering to “buy” your way into AI search results is selling something that does not exist.

A practical checklist to action this month

1. Audit your NAP consistency. Check your business name, address and phone number match across your website, Google Business Profile and top three directories.
2. Add LocalBusiness or Organization schema to your homepage if it is not already there.
3. Rewrite three key headings as questions your customers actually ask, with the direct answer in the sentence underneath.
4. Request five new reviews from recent customers rather than relying on reviews from two years ago.
5. Pitch one local directory or publication for a mention, rather than chasing a generic backlink.
6. Write or update one FAQ section on your most important service page with specific, quotable answers rather than vague reassurances.

If you are weighing this up against a broader website rebuild, it is worth getting the foundations right at the same time. A free quote from our team will tell you exactly what needs fixing and what it will cost, with no obligation to proceed.

FAQ

Is AI search optimisation the same as SEO?

No. SEO aims to rank your page in search results. AI search optimisation, or generative engine optimisation, aims to get your business named inside an AI-generated answer, which can happen with or without a click to your site.

Do I need an llms.txt file for my small business website?

Not urgently. It costs nothing to add and may help over time, but there is no current evidence it improves whether ChatGPT or Google AI Overviews cite your business. Prioritise schema markup, review volume and third-party mentions first.

Will schema markup guarantee my business gets recommended by ChatGPT?

No single tactic guarantees citation. Structured data reduces ambiguity and appears on a large share of pages that do get cited, which makes it a sound investment, but it works alongside consistent business information, reviews and third-party mentions rather than in isolation.

How is this different for a car dealership or other specific industry?

The principles are the same, but the structured data gets more specific. Our guide to AI search for car dealers covers how this plays out when you are optimising individual vehicle listings rather than general service pages.