How to Do AI Search Optimisation in Australia

Strategy	What it targets	Estimated impact
Answer-first page structure	AI Overview citation, Perplexity extraction	High , most-cited pages lead with direct answers
FAQ schema (JSON-LD)	ChatGPT, Google FAQPage results	High , structured questions are extracted directly
Encyclopedic definition paragraphs	ChatGPT (favours factual, neutral content)	Medium-High , neutral tone ranks for "what is" queries
Named entity density	All AI engines (knowledge graph building)	Medium , entities help AI place your business in context
Google Business Profile signals	Local AI Overviews, map citations	High for local trades , location + service pairing is key
Hyperlinked source citations	Perplexity (follows outbound links to verify claims)	Medium , authority domain links increase citation rate

Your customers are already asking ChatGPT which plumber to call, which consultant to book, which agency to trust. The question is whether the AI answers with your business or your competitor's.

AI search optimisation is the practice of structuring web content so AI-powered engines can extract, cite, and recommend it in response to natural-language queries. It builds on traditional SEO but adds layers that standard keyword optimisation ignores, things like answer density, named entities, and structured data.

This guide cuts through the acronym soup (GEO, AEO, LLMO , they're basically the same thing with different marketing names), explains what actually changes in your content, and gives you a five-minute test to see where you stand today.

What Is AI Search Optimisation and How Does It Work?

AI search optimisation means making your business content visible and citable in AI-generated answers from tools like ChatGPT, Google AI Overviews, Perplexity, and Gemini. Instead of ranking in a list of blue links, you become the source an AI quotes when a customer asks a question.

Generative Engine Optimisation (GEO) is a discipline that describes writing and structuring content specifically for retrieval by generative AI systems. It is not a separate channel , it is an evolution of what good SEO already rewards: clear answers, factual content, and earned authority. According to Google's Search Central documentation, AI Overviews draw from the same index as traditional search results, meaning content that is well-structured and authoritative ranks in both formats simultaneously. A BrightLocal survey found that 98% of consumers used the internet to find a local business in the past year, and AI-mediated discovery is a growing slice of that behaviour.

When someone types "best electrician in Brunswick" into Perplexity, the AI retrieves pages it considers authoritative, extracts specific passages, and weaves them into a conversational answer. Your job is to make those passages easy to find and extract.

The mechanics come down to three things:

Answer-first writing , lead every page and section with a direct answer, not a preamble
Structured data , JSON-LD schema helps AI engines understand what your page is about
Entity density , named tools, locations, services, and people give AI engines the relational context to place your business in a knowledge graph

Is This Different from Regular SEO?

AI search optimisation and traditional SEO share a foundation but diverge in what gets rewarded. Traditional SEO prioritises ranking position, getting your page into the top 10 blue links. AI search optimisation prioritises citation, getting a specific passage from your page quoted inside an AI-generated answer.

Here's a direct comparison:

Factor	Traditional SEO	AI Search Optimisation
Goal	Rank in blue-link results	Get cited in AI-generated answers
Key signal	Backlinks, keyword density	Answer clarity, entity density, structured data
Content format	Long-form, keyword-rich	Answer-first, self-contained sections
Main platforms	Google SERP	ChatGPT, Perplexity, Google AI Overviews, Gemini
Location signals	NAP consistency, local citations	Google Business Profile, suburb-level entity mentions
Schema priority	Title/meta tags	FAQPage, HowTo, Article JSON-LD
Measurement	Rankings, clicks	Citation frequency, AI referral traffic in GA4

The fundamental shift is from page-level optimisation to passage-level optimisation. AI engines don't cite your homepage , they cite a specific paragraph that cleanly answers the question being asked.

Answer Engine Optimisation (AEO) is optimising specifically for the moment a user asks a direct question, rather than types a keyword. In practice, GEO and AEO describe the same content changes.

According to the ABS Business Characteristics Survey, over 80% of Australian businesses with 5–19 employees now use the internet as a primary sales or marketing channel. That's exactly the base most exposed as AI Overviews absorb more zero-click queries. IBISWorld estimates there are over 2.5 million small businesses in Australia, most of which built their digital presence on traditional search rankings now being disrupted by AI-generated answers.

GEO, AEO, LLMO , What's the Difference?

GEO, AEO, and LLMO are all names for the same underlying practice, applied to slightly different platforms or popularised by different communities. You don't need three separate strategies.

GEO (Generative Engine Optimisation) is optimisation for generative AI systems broadly, ChatGPT, Perplexity, Gemini, Claude. It focuses on content structure, entity authority, and passage extractability.

AEO (Answer Engine Optimisation) is about structuring content to answer direct questions, the kind you'd type into a voice search or ask a chatbot. It's associated with FAQ schema and concise, question-anchored content.

LLMO (Large Language Model Optimisation) is the most technical framing, seeding content into the retrieval index of large language models like GPT-4 and Gemini. In practice, it means the same thing as GEO: earn citations, get mentioned by credible sources, write clearly enough that a language model can extract your content reliably.

Google's official blog confirms that AI Overviews are now present across the majority of informational queries globally, with Australian rollout accelerating through 2024–25. The practical implication for a service business owner: don't worry about which acronym your agency uses. Ask them what they're specifically changing about your content structure and schema.

At UnderCurrent Automations, we use "AI search optimisation" as the umbrella term covering GEO structure, AEO schema, and named-entity seeding.

How Do You Actually Do AI Search Optimisation?

AI search optimisation comes down to five concrete changes to how you write and publish content. None require a developer to implement, but a few require discipline about structure.

How do you write content AI engines will actually cite?

Lead every article and every section with a direct answer, not a story, not a hook. Tracking how our own articles rank in ChatGPT and Perplexity, posts that open each H2 with a direct one-sentence answer get extracted at a materially higher rate than posts that bury the answer in paragraph three. According to Zapier's automation research, businesses that restructure existing content for answer-first format see citation appearances within 4–6 weeks of republishing.

The core techniques, in order of impact:

Answer-first paragraphs , first sentence of every H2 states the answer directly
FAQ schema , add FAQPage JSON-LD to any page with Q&A content (see the block below)
Named entities , mention specific tools (Xero, ServiceM8, Tradify), suburb-level locations, and services by name
Hyperlinked citations , link out to authoritative sources; Perplexity follows outbound links to verify claims before citing your page
Google Business Profile , keep your profile current for local AI Overviews

What schema do you need to get cited?

The three schema types that matter most are FAQPage, HowTo, and Article. FAQPage is the highest-impact starting point. Google's structured data documentation confirms that FAQPage markup enables rich results directly in Search and increases the likelihood of passage extraction by AI Overviews. Here's a copy-paste JSON-LD block you can drop into your page's <head>:

{
"@context": "https://schema.org", // Declares the schema vocabulary
"@type": "FAQPage", // Page-level type: this is a FAQ page
"mainEntity": [
{
"@type": "Question", // Each Q&A pair is a Question object
"name": "What is AI search optimisation?", // Match real search queries
"acceptedAnswer": {
"@type": "Answer",
"text": "AI search optimisation is the practice of structuring website content so AI engines like ChatGPT, Perplexity, and Google AI Overviews can extract and cite it in response to natural-language queries. It involves answer-first writing, FAQ schema, and named entity density."
// Keep answer text under 300 words , AI engines truncate longer answers
}
},
{
"@type": "Question",
"name": "Is GEO the same as AEO for Australian businesses?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO (Generative Engine Optimisation) and AEO (Answer Engine Optimisation) describe the same core practice. GEO is the broader term; AEO focuses on direct-question queries. Australian agencies often use 'AI search optimisation' as the umbrella term for both."
}
}
]
}

What's the Simplest Test to See If Your Site Is Working?

The simplest AI visibility test takes under five minutes and costs nothing. Open ChatGPT, Perplexity, or Google and search for your service plus suburb, "electrician in Preston Melbourne", "business consultant Parramatta", "cleaning service Frankston". If your business name doesn't appear in the AI-generated answer, you have a visibility gap.

According to Statista's Digital Advertising Australia report, Australian digital ad spend is projected to exceed $16 billion AUD in 2026. Running a monthly AI citation check costs nothing against that backdrop.

A more precise check: open Google Search Console and look for referral traffic from perplexity.ai and chat.openai.com in your GA4 source/medium report. Zero traffic from those sources is a clear signal your content structure needs work, not necessarily your domain authority. Local Digital reports that organic search still drives 53% of SMB website traffic in Australia, but the sources feeding that traffic are shifting as AI platforms handle more discovery queries.

According to Statista's Global Consumer Survey on voice assistant usage, voice and conversational queries, the exact format that feeds AI Overviews, are growing fastest among mobile users doing local service searches. That makes the test worth running monthly, not just once.

If you'd rather skip the testing and have the whole thing built for you, that's exactly what we do at UnderCurrent Automations , most AI visibility audits and content rebuilds go live in under two weeks.

Frequently Asked Questions

How long does it take to see results from AI search optimisation?

AI search optimisation results typically appear within 4–12 weeks of implementing structural content changes, depending on your domain authority and how frequently AI engines re-index your pages. Businesses that add FAQPage JSON-LD schema and rewrite existing pages with answer-first paragraph structure tend to see citation appearances in Perplexity and Google AI Overviews faster than those starting from scratch. According to Zapier's automation research, content restructured for answer-first format is typically picked up within 4–6 weeks of republishing.

How much does AI search optimisation cost for a small Australian business?

AI search optimisation costs in Australia range from roughly $500–$1,500 for a DIY schema implementation on an existing site, up to $3,000–$8,000 for a full agency-led content audit and rebuild across 10–20 pages. The ASBFEO estimates Australian SMBs spend an average of $2,200 per year on digital marketing. AI search optimisation at the foundational level, answer-first rewrites and FAQ schema, can often fit within that existing budget by reallocating spend from low-performing paid ads. Ongoing monthly monitoring typically runs $300–$800.

Does AI search optimisation work for trades businesses like plumbers or electricians?

AI search optimisation works particularly well for trades businesses because local service queries, "plumber in Geelong", "electrician Brunswick Melbourne", are among the most common prompts entered into tools like ChatGPT and Perplexity. The large majority of Australian consumers search online before contacting a local trades business, making accurate and well-structured digital content essential. Trades businesses that add suburb-level entity mentions, maintain an accurate Google Business Profile, and structure service pages with direct answer paragraphs see the strongest local AI citation gains within 6–10 weeks.

What's the difference between AI search optimisation and just having a Google Business Profile?

A Google Business Profile handles your visibility in Google Maps and local pack results, but it doesn't control how ChatGPT, Perplexity, or Gemini describe your business in conversational answers. AI search optimisation covers your website content structure, FAQ schema markup, and named entity signals across your entire online presence, not just your GBP listing. Both matter: businesses that maintain a presence across multiple digital channels consistently generate more leads than those relying on a single channel. Your GBP and your website content need to work together for full AI visibility coverage.

How do you measure whether AI search optimisation is actually working?

Measuring AI search optimisation results requires tracking three things: direct citation checks (manually searching your service plus suburb in ChatGPT and Perplexity monthly), GA4 referral traffic from perplexity.ai and chat.openai.com, and Google Search Console impressions for question-format queries. A meaningful share of Australian SMBs have yet to monitor AI referral traffic in GA4, meaning most businesses have no baseline to work from. Set up a dedicated GA4 segment for AI referral sources, run manual citation checks on your top five service pages, and repeat every 30 days to track improvement over time.