If you’ve been doing keyword research the same way you did five years ago, here’s the honest truth: it’s not enough anymore. The way Australians search for products, services, and information has fundamentally shifted — and most businesses haven’t caught up yet.
Google AI Overviews, ChatGPT, Perplexity, and Gemini are now answering questions directly, without users ever clicking through to a website. That means the old game of targeting a keyword and ranking on page one is only half the battle. The new game is getting your business cited inside the AI-generated answer itself.
That’s exactly what Answer Engine Optimisation (AEO) is designed to do — and why keyword research for AI search looks quite different from traditional SEO keyword research.
Here’s how Australian businesses should be approaching it in 2026.
Why Traditional Keyword Research Falls Short for AI Search
Traditional keyword research revolves around a simple idea: find a phrase people type into Google, create a page optimised for that phrase, and climb the rankings. It works — to a point.
The problem is that AI search engines don’t work like that. When someone asks ChatGPT or Google AI Overviews a question, the platform doesn’t just match keywords. It decomposes the query into multiple sub-questions, retrieves content from across the web, and synthesises a single answer. Your content might be perfectly optimised for the original keyword but completely absent from the AI’s response because it doesn’t address the sub-questions the AI is actually asking.
For Australian businesses — especially small and medium-sized businesses competing in local markets — this gap is costing real visibility.
The AEO Keyword Research Method: A Practical Framework
Step 1: Start With Conversational Anchor Queries, Not Short Keywords
The first shift is how you think about your starting point. Instead of a short keyword like “plumber Sydney” or “accountant Melbourne,” think about the full question your ideal customer is actually typing — or speaking — into an AI platform.
These are called anchor queries, and they typically look like:
- “What should I look for when choosing an accountant for my small business in Sydney?”
- “How do I get my tradie business to show up in Google searches in Australia?”
- “What’s the difference between SEO and AI search optimisation for Australian businesses?”
These longer, conversational questions are how people interact with AI search tools. Your keyword research needs to start here, not with a two-word phrase.
Step 2: Map the Sub-Questions Your Anchor Query Generates
Once you have your anchor query, the next step is mapping out all the sub-questions an AI engine is likely to generate from it. Every anchor query fans out into multiple sub-query types — definitions, comparisons, how-to questions, use cases, and objections.
For example, if your anchor query is “How do I get my Sydney business to appear in AI search results?”, the AI will likely also search for:
- What are AI search results? (Definition)
- AI search results vs traditional Google rankings (Comparison)
- How to optimise content for Google AI Overviews (How-to)
- Local business AI search visibility examples (Use case)
- Is AI search optimisation worth it for small businesses? (Objection)
Your job is to make sure your website content covers as many of these sub-questions as possible — not just the original anchor query.
Step 3: Validate With Traditional Keyword Data
This is where traditional keyword research still has a role. Once you’ve mapped your sub-questions, run them through a keyword research tool to check search volume and competition. This tells you which sub-questions deserve a full blog post or service page, and which ones are better handled with a paragraph or FAQ entry.
A sub-query attracting 500+ monthly searches in Australia warrants dedicated content. One with 50 searches might just need a well-written FAQ answer.
This is also where you’ll identify the best opportunities: topics with genuine search demand but low competition, particularly in AI search environments where most businesses haven’t yet optimised.
Step 4: Structure Your Content for AI Extraction
Here’s where AEO diverges most sharply from traditional SEO. AI platforms don’t retrieve whole pages — they retrieve passages. A well-ranking 2,000-word page might contribute only one paragraph to an AI-generated answer.
This means every major section of your content needs to be written as a self-contained, independently retrievable unit. Concise definitions. Direct answers at the top of each section. Quantified claims wherever possible — because research consistently shows that content containing specific statistics is significantly more likely to be cited in AI responses than content with only qualitative descriptions.
For Australian businesses working with our SEO services in Sydney, this is one of the most impactful content changes we implement — restructuring existing pages so every section stands alone as a citation-worthy answer.
Step 5: Build Entity Authority Alongside Keywords
Keywords alone don’t win AI search visibility. AI platforms are increasingly driven by entity authority — how strongly a platform associates your brand with a particular topic or category.
If ChatGPT or Perplexity is going to recommend your business as a trusted source, it needs to see consistent, authoritative signals across your website, your Google Business Profile, your reviews, your backlinks, and your structured data. Keyword optimisation and entity authority need to be built together.
What to Measure Instead of Just Ranking Position
The measurement shift is just as important as the strategy shift. If you’re reporting purely on keyword rankings, you’re missing the picture.
For AI search, the metrics that matter are:
- AI citation frequency — how often your content is referenced in AI-generated answers
- Zero-click rate — the percentage of searches answered in the SERP without a click (high zero-click rates signal where AEO visibility matters most)
- Fan-out coverage — what percentage of the sub-questions related to your core topics does your content actually address?
- Brand mention rate — is your business being mentioned in AI answers, even without a direct link?
The Bottom Line for Australian Businesses
AI search is not a future trend for Australian businesses — it’s the current reality. Platforms like Google AI Overviews are already appearing in a significant portion of Australian search results, and that proportion is growing every month.
The businesses that adapt their keyword research and content strategy now — moving from keyword-to-page thinking to comprehensive sub-query coverage — will have a meaningful head start over competitors who are still playing the old game.
If you’re not sure where your business currently stands in AI search, the best first step is an audit. Understanding which queries you’re being cited for, and where the gaps are, gives you a clear roadmap.
To find out how AI Search Optimisation can help your business build visibility across Google AI Overviews, ChatGPT, and Perplexity — get in touch with the NetiaWeb team today.
Frequently Asked Questions
1. What is keyword research for AI search? Keyword research for AI search focuses on identifying the conversational anchor queries your audience uses with AI platforms, then mapping the sub-questions those queries generate. It goes beyond traditional short-tail keywords to cover the full range of questions an AI engine will ask when generating an answer about your topic.
2. What is Answer Engine Optimisation (AEO)? Answer Engine Optimisation (AEO) is the process of structuring your content so it becomes a trusted source that AI platforms — like Google AI Overviews, ChatGPT, and Gemini — select when generating answers. It combines content structure, entity authority, and semantic relevance to improve your visibility in AI-generated responses.
3. Is AEO different from traditional SEO? Yes, though both work together. Traditional SEO focuses on ranking pages in Google search results. AEO focuses on becoming the source AI systems cite when answering questions. The content structure, measurement approach, and optimisation priorities differ, but strong traditional SEO is still the foundation.
4. How do I get my Australian business to appear in Google AI Overviews? Appearing in Google AI Overviews requires building topical authority through well-structured, factual content that directly answers specific questions. Schema markup, strong entity signals, and consistent brand authority across the web also play a significant role.
5. How long does AEO take to show results? Initial improvements in content clarity and indexing can be seen within four to eight weeks. Meaningful visibility in AI Overviews and AI-generated answers typically builds over three to six months, with strong authority signals developing over six to twelve months of consistent effort.
6. Does my small business in Sydney need AEO? Yes — especially if your customers are asking questions about your services online. AI platforms are increasingly the first point of discovery for local service queries. Small businesses that structure their content for AI extraction now will gain an advantage over competitors who haven’t adapted yet.
7. What is query fan-out and why does it matter? Query fan-out is the process by which an AI engine breaks a single user query into multiple sub-questions before retrieving content. It matters because your content needs to cover these sub-questions — not just the original keyword — to be eligible for citation in the AI’s final answer.
8. Should I stop doing traditional keyword research? No. Traditional keyword research still plays a vital role in validating search volume and prioritising content investment. AEO-adapted keyword research builds on top of traditional research — it doesn’t replace it.
9. What types of content work best for AI search visibility? Content that works best includes direct definitions, clear how-to explanations, specific statistics with sources, comparison content, and well-formatted FAQ sections. Every section should be written as a self-contained answer that makes sense without needing the surrounding context.
10. How do I know if my website is being cited in AI-generated answers? You can manually test this by asking AI platforms questions related to your business and seeing whether your content is referenced. For systematic tracking, AI search visibility tools can monitor citation frequency and brand mention rates across platforms like ChatGPT, Perplexity, and Google AI Overviews.
NetiaWeb is an Australia-wide digital marketing agency specialising in SEO and AI Search Optimisation. Based in Sydney’s Eastern Suburbs, we help businesses improve visibility across both traditional search and AI-powered platforms. Book a free strategy call today.
About the Author
Amir Neta is a senior SEO strategist and co-founder of NetiaWeb, with nearly 20 years of experience helping businesses grow through search. He has worked with clients across Australia — including Sydney, Melbourne, Perth, Brisbane and regional areas — as well as in the USA, UK, and Europe. Specialising in local SEO, AI search readiness, and digital marketing strategy, Amir is passionate about helping businesses improve visibility, generate leads, and achieve long-term ranking success.