What Is AI SEO? Your Guide to Smarter Search Optimisation

Search is changing... and not just a little. AI is now deciding what users see before they ever click a link. Learn what AI SEO means for your business, how it differs from traditional optimisation, and what you can do right now to make sure your content gets found, cited, and recommended.

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Benjamin Paine - Managing Director

Managing Director at Digital Nomads HQ

If you’ve noticed your Google search results looking a little different lately, with AI generated summaries appearing above the familiar blue links 

– you’re witnessing the biggest shift in search since Google itself.

AI SEO is the practice of using artificial intelligence to improve how your website ranks, performs, and appears across both traditional search engines and the new wave of AI powered platforms like ChatGPT, Perplexity, and Google’s own AI Mode.

For Australian businesses, this isn’t a distant trend. 

Google AI Overviews are already live nationwide, appearing in up to 39% of Australian searches, nearly triple the global average.

Example of AI Overviews
Example of AI Overviews

AI Mode has officially rolled out in Australia too, letting users ask complex, conversational queries and receive comprehensive AI generated answers without ever clicking through to a website.

Understanding AI SEO and adapting your strategies now is no longer optional… it’s essential to staying visible online – and why at Digital Nomads HQ we are bringing it to the front of our talking points, both with new and existing clients in our AI SEO services.

The Importance of AI in SEO Optimisation

Traditional SEO has always been about helping search engines understand your content so they can match it with the right user queries. AI SEO takes that further. It uses artificial intelligence to analyse data at scale, automate repetitive tasks, and optimise content in ways that would take a human team significantly longer.

Think of it like this: where traditional SEO might have you manually researching one keyword at a time, AI tools can process thousands of keyword opportunities in minutes, identifying patterns in search intent, competition, and user behaviour that you might otherwise miss. This doesn’t mean AI SEO is here to replace traditional SEO – it’s here to enhance it.

 

The real importance lies in what’s happening on the other side of the equation. Google’s algorithms are now AI powered themselves. The search engine uses machine learning to better understand what users actually need, not just what they type. That means your SEO strategies need to account for how AI systems interpret, evaluate, and present your information — not just how a crawler indexes your page.

The Power of AI Assisted SEO

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How AI Transforms Insights and Data for SEO

One of the most significant changes AI brings to digital marketing is the ability to turn raw data into actionable insights at speed. AI SEO tools can analyse your website performance, competitor rankings, and audience behaviour simultaneously, giving you a clearer picture of where to invest your efforts.

Example of Digital Nomads HQ AI SEO AUDIT

Keyword research is a good example. 

Rather than guessing which terms your target audience is searching for, AI powered platforms like Semrush, Ahrefs, and Surfer SEO use machine learning to cluster keywords by intent, identify content gaps, and even suggest the optimal structure for a page. 

They can tell you not only which keyword to target, but how to approach the topic in a way that’s likely to attract both human readers and AI systems.

AI also helps improve the quality of your content optimization by analysing what’s already ranking and identifying what makes those results successful. 

It might find that top-ranking pages for a given query all include specific data points, answer certain questions, or use particular schema markup – insights that would take hours to compile manually.

For business owners who don’t have the time or budget for a large marketing team, these AI driven efficiencies can be transformative. You get enterprise-level insights without the enterprise-level investment.

Understanding AI Powered Search and Its Implications

Here’s where things get particularly interesting – and a little more urgent. 

Search is no longer just about Google’s ten blue links. 

AI Overviews now synthesise information from multiple sources and present answers directly on the results page… This means users can ask follow-up questions that take them into AI Mode, a conversational experience where they may never visit your website at all.

Platforms like ChatGPT, Perplexity, and Gemini are also becoming search engines in their own right.

 When someone asks one of these AI systems for a recommendation, the AI doesn’t crawl the web in real time the way Google does. Instead, it draws on its training data and, increasingly, retrieves live information from sources it deems authoritative. 

If your content isn’t structured in a way these AI systems can understand and trust, you simply won’t be part of the conversation.

This has given rise to a new discipline known as Generative Engine Optimisation, or GEO. While traditional SEO focuses on rankings and click-through rates, GEO focuses on getting your brand cited and recommended in AI generated answers. The two aren’t in competition – they complement each other. 

You need strong SEO foundations to be discoverable, and GEO strategies to ensure you’re being referenced when AI platforms deliver results to users.

For Australian businesses, this shift is accelerating. Research suggests that AI driven search is contributing to a measurable decline in organic click-through rates, with some websites experiencing traffic drops of 20 to 60 percent when AI Overviews appear for their target queries.

Enhancing SEO with Schema Markup and AI Tools

So, how do you actually optimise for this new AI search behavour? 

One of the most practical steps is implementing schema markup on your website. Schema is structured data that helps search engines – and AI systems – understand the context of your content. It tells Google whether your page contains a product, a FAQ, a recipe, a local business listing, or a how-to guide.

AI algorithms rely heavily on this kind of structured information to extract and present your content in search results, AI Overviews, and knowledge panels. Without it, your content might be perfectly relevant but invisible to the systems that are increasingly deciding what users see.

Beyond schema, AI SEO tools can help you optimise your content for the way people actually search now – conversationally.

With AI Mode encouraging users to ask longer, more natural questions, your keyword strategy needs to reflect this shift. Target intent-based queries and conversational phrases rather than short, generic terms. Write content that directly answers the questions your audience is asking, and organise it with clear headings and logical structure so AI can easily extract the most relevant sections.

It’s also worth auditing your online presence beyond your website. AI systems cross-reference information across platforms – your Google Business Profile, social media, industry directories, and review sites all contribute to how authoritative and trustworthy your brand appears to these algorithms.

Preparing for the Future of SEO: AI Driven Strategies

The future of SEO isn’t about choosing between traditional practices and new AI approaches — it’s about integrating both into a unified digital marketing strategy. 

Here’s what that looks like in practice.

First, keep producing high-quality, original content built on genuine experience and expertise (EEAT). AI systems are getting better at identifying authoritative sources, and brands that consistently publish helpful, well-researched content will earn citations across both traditional search results and AI generated answers.

Second, diversify your search visibility. Don’t rely solely on Google. Understand how platforms like ChatGPT and Perplexity discover and recommend businesses, and ensure your content is structured for these new channels.

Third, invest in monitoring. 

New tools are emerging specifically to track your brand’s visibility in AI search – how often you’re cited, in what context, and by which platforms. Just as you track your Google rankings today, you’ll need to track your AI visibility tomorrow.

Finally, think beyond keywords. 

The businesses that will thrive in this new era are those that understand their audience deeply — what they need, how they search, and what kind of experience they expect. AI is changing the tools and tactics, but the fundamentals of great marketing remain: know your audience, solve their problems, and make it easy for them to find you.

AI SEO isn’t a passing trend. 

It’s the evolution of how search works, and the businesses that adapt their strategies now will be the ones that maintain and grow their online visibility in the years ahead.

Frequently Asked Questions

What is AI SEO and how does it work?

AI SEO is the application of artificial intelligence to search engine optimization. It works on two levels. First, it involves using AI tools to improve your own SEO processes — things like keyword research, content optimization, and performance analysis. Second, it means optimizing your content so that AI powered search engines and platforms can find, understand, and cite your business in their results. In practice, AI SEO combines the foundational principles of traditional SEO with new techniques designed for how modern search engines use machine learning to interpret and rank content.
AI tools improve traditional SEO by handling data-heavy tasks faster and more accurately than manual methods. For example, AI can analyse your entire website and identify SEO issues — from broken links to thin content — in minutes rather than days. It can also monitor how your competitors rank across search engines and flag new keyword opportunities as they emerge. For digital marketing teams, this means less time on repetitive audits and more time on strategy. AI doesn’t replace the need for human SEO expertise, but it does improve the speed and precision of nearly every optimization task in the workflow.
The most effective strategies start with understanding how AI search actually works. AI systems pull from content that is well-structured, clearly written, and backed by demonstrable expertise. To optimize for this, structure your pages with clear headings that directly address user queries, implement schema markup so search engines can parse your content accurately, and answer questions concisely near the top of each section. You should also ensure your content is consistent across platforms — your website, Google Business Profile, review sites, and social media should all tell the same story. AI search platforms cross-reference multiple sources, so consistency builds the trust signals that improve your chances of being cited.
AI has fundamentally changed how keyword research and content optimization are approached in modern SEO. Traditional keyword research involved manually brainstorming terms and checking search volume one by one. AI powered tools now cluster thousands of keyword variations by search intent, helping you understand not just what people type, but what they actually want. This makes your content optimization far more targeted — instead of stuffing a page with a single keyword, you can build comprehensive content that addresses an entire topic cluster. AI also analyses top-performing pages across search engines to identify patterns in structure, length, and depth, giving you a data-driven blueprint for content that’s more likely to rank and improve your visibility.
The biggest trend reshaping SEO and digital marketing is the rise of AI search as a primary discovery channel. Platforms like ChatGPT, Perplexity, and Google’s AI Mode are becoming the first place many users go for answers, and optimizing for these platforms — known as GEO — will sit alongside SEO as a core marketing discipline. Marketers should also watch the growth of agentic AI, where AI systems don’t just recommend products but complete transactions on behalf of users, bypassing traditional search engines entirely. To stay ahead, invest in keyword strategies that target conversational, intent-rich queries, build authoritative content that AI systems trust enough to cite, and adopt AI search monitoring tools to track your brand’s visibility across these new platforms. The fundamentals of good SEO still matter, but the definition of optimization is expanding rapidly.

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