AI Search Optimisation for Australian Brands: The Complete Guide

AI search optimisation is the practice of structuring your content, data and online presence so tools like ChatGPT, Google AI Overviews and Perplexity choose to mention your brand when someone asks a relevant question. For Australian businesses, it means becoming the answer, not just a link on a results page. This guide walks through what changed, how AI tools decide which brands to cite, and the practical steps an Australian business can take to get mentioned in those answers instead of watching a competitor get named first.

Key takeaways

• AI search optimisation (also called AEO or answer engine optimisation) is about earning a mention inside an AI-generated answer, not just a ranking position.
• AI tools favour content that gives a clear, quotable, standalone answer near the top of the page.
• Structured data, consistent business information and third-party citations all influence whether an AI names your brand.
• SEO and AI search optimisation overlap heavily but aren't identical: one earns clicks, the other earns mentions.
• You can track AI visibility separately from traditional rankings, and you should.

What is AI search optimisation?

AI search optimisation (AEO) is the set of practices that make it more likely an AI assistant will name your business when it answers a question in your industry. Where traditional SEO optimises for a ranking position in a list of blue links, AEO optimises for inclusion inside the answer itself, whether that answer appears in a Google AI Overview, a ChatGPT response, or a Perplexity summary.

The shift matters because a growing share of searches now end without a click to any website at all. When an AI tool answers the question directly, the only way your business gets seen is if the AI chose to mention it. That makes the content and data behind your brand more important than the page design or the paid placement around it.

How AI tools choose which brands to mention

AI search tools don't crawl the web the same way a person browses it. They pull from a mix of their training data, live web results and structured data feeds, then generate a summary that cites a handful of sources. Three things consistently influence whether your business makes that shortlist.

Clear, extractable answers

AI tools lift sentences that stand on their own: a complete claim with no pronoun that needs the sentence before it to make sense. A page that states its main point in one self-contained sentence near the top is far easier for an AI to quote than a page that builds up to its answer over several paragraphs.

Structured data and consistent facts

Schema markup, an up-to-date Google Business Profile and consistent NAP (name, address, phone) details across directories all give an AI a clean, low-risk fact to repeat. Inconsistent details across your website, directories and social profiles make an AI less likely to cite you with confidence.

Third-party mentions

AI tools weight what other sites say about a business alongside what the business says about itself. Reviews, press mentions, industry directories and comparison articles all feed into whether an AI treats your brand as a safe, verifiable answer.

Building an AI search optimisation strategy

An AI search optimisation strategy has four parts: audit what AI tools currently say about your brand, rewrite key pages for extractability, fix your structured data and directory listings, and earn citable third-party mentions.

Audit what AI tools currently say about you

Before changing anything, ask ChatGPT, Google's AI Overview and Perplexity the questions your customers would ask, and note whether your brand appears, what it's credited with, and which competitors show up instead. [EXPERTISE NEEDED: add your own findings from this audit, which questions your brand appeared for and which it didn't]

Rewrite key pages for extractability

Take your most important service or product pages and add one standalone sentence near the top of each section that fully answers the question that section is about, without depending on the heading above it.

Fix your structured data and directory listings

Add or correct Organization, Product and FAQ schema, and make sure your business name, address and phone number match exactly across your website, Google Business Profile and major directories.

Earn citable third-party mentions

Pitch relevant journalists, get listed in industry directories relevant to your niche, and encourage reviews on the platforms your customers actually use. AI tools treat independent confirmation as a trust signal.

Measuring AI visibility

Traditional rank tracking cannot tell you whether ChatGPT, Google's AI Overviews or Perplexity are mentioning your brand, so AI visibility needs its own separate tracking process. You need that process: running your target questions through the major AI tools on a schedule and logging whether your brand appears, what's said about it, and which competitors are named instead. A comparison of the AI visibility tools available in Australia is a useful starting point if you're setting this up for the first time.

Frequently asked questions

How to optimise for AI search?

Start by auditing what AI tools currently say about your brand for your key search questions, then rewrite your most important pages so each section opens with a standalone, quotable answer. Pair that with accurate schema markup, consistent business details across the web, and third-party mentions that give an AI a reason to trust your brand as a citable source.

What is the 30% rule in AI?

The honest answer is that there is no single 30 percent rule. The phrase gets used informally for at least a handful of different ideas: a rule of thumb that automating around 30 percent of a task is where AI delivers value while humans handle the rest, a guideline that AI drafted content should be substantially edited by a human before publishing, a research estimate that roughly 30 percent of new web text is now AI generated, and a loose description of the share of searches an AI Overview now answers without a click through. None of these comes from an official source, and none is a rule you can optimise against. If someone cites the 30 percent rule at you, ask which one they mean before acting on it.

Is SEO still worth it in 2026?

Yes. Traditional SEO still drives the rankings and organic clicks that keep a website found, and it remains one of the main inputs AI tools draw on when deciding who to cite. AI search optimisation sits alongside SEO rather than replacing it, so the two should be run as one connected effort, not treated as competing budgets.

What is the difference between SEO and AI search optimisation?

SEO optimises for a ranking position in a list of search results that a person then clicks. AI search optimisation optimises for a mention inside an AI-generated answer, where there may be no click at all. They share many of the same foundations, technical health, relevant content and authority signals, but AI search optimisation adds a specific focus on extractable, quotable answers and structured, verifiable facts.

Getting started

AI search optimisation isn't a separate discipline you bolt on top of SEO, it's what SEO becomes once a meaningful share of answers happen without a click. Start with the audit, fix the pages and data that are easiest to change, and track your AI visibility the same way you'd track rankings. If you want to see how Mentioned's AI visibility tracking works, it's built to show exactly this: where your brand is being mentioned by AI tools today, and where the gaps are.