Consumer search behaviour in Australia is undergoing a significant shift. Where people once typed keywords into Google and browsed through results pages, a growing number are now asking AI tools like ChatGPT, Gemini, and Perplexity direct questions and receiving synthesised answers. This change has created a new discipline in digital marketing: generative engine optimisation, or GEO.
For marketing leaders responsible for brand visibility and customer acquisition, understanding GEO is becoming essential. It represents a meaningful evolution in how consumers discover products, services, and brands — and it requires a different approach from traditional search engine optimisation.
How Consumer Search Behaviour Is Shifting
The rise of AI-powered search tools has changed the consumer journey in ways that matter for Australian marketers. Instead of browsing multiple websites to compare options, consumers are increasingly asking AI assistants to do the comparison for them. A consumer might ask "what are the best project management tools for small Australian businesses" and receive a direct answer naming specific brands — without ever visiting a search results page.
This shift is part of the broader impact of technology on industries and markets that Australian businesses are navigating. Research indicates that traditional search volume is declining as AI-powered alternatives grow, with some estimates projecting a significant reduction in conventional search queries over the coming years.
The implication for marketers is clear: ranking well on Google is no longer sufficient. If your brand does not appear in AI-generated answers, you are missing a growing segment of consumer attention.
What GEO Actually Involves
Generative engine optimisation is the practice of structuring your brand's digital presence so that AI search tools can find, understand, and cite your content when responding to relevant queries.
Unlike traditional SEO, which optimises for ranking positions on a results page, GEO optimises for inclusion in the AI's answer itself. The distinction matters because AI models evaluate content differently from search engine algorithms.
AI models prioritise content that is specific and factual. Vague marketing claims are largely ignored. Structured information — clear answers to specific questions, verifiable statistics, defined expertise — is what gets extracted and cited.
AI models also cross-validate information across multiple sources. A claim that appears on your website alone carries less weight than the same claim corroborated by industry publications, directories, and third-party references. This means GEO requires attention to your brand's presence across the entire web, not just your own site.
The third factor is content structure. AI tools extract information most effectively from content that uses clear headings, direct language, and organised formats. Long-form marketing narratives are harder for AI to parse than well-structured, question-and-answer style content.
What This Means for Australian Marketing Strategy
For Australian marketers, GEO introduces several strategic considerations that differ from traditional search optimisation.
First, content strategy needs to shift toward answering specific consumer questions rather than targeting keywords. Understanding what your customers actually ask AI tools — and creating content that directly answers those questions — becomes a primary concern. This aligns with the broader trend in emerging industries where technology adoption is reshaping competitive dynamics.
Second, brand consistency across the web becomes more important than ever. AI models build confidence by finding consistent information about a brand across multiple independent sources. Ensuring that your company description, capabilities, proof points, and market positioning are consistent across your website, directory listings, industry publications, and partner references directly influences whether AI cites you.
Third, measurement frameworks need to evolve. The traditional metrics of rankings, impressions, and click-through rates do not capture AI search visibility. Marketers are beginning to track what some practitioners call "Share of Model" — how frequently a brand appears in AI-generated responses compared to competitors for relevant queries. Australian consultancies like NETEVO have been developing methodologies that combine traditional search metrics with AI citation tracking to give marketers a unified view of their brand's discoverability.
Practical Steps for Marketing Leaders
Marketing leaders looking to incorporate GEO into their strategy can start with a straightforward audit. Run your top twenty target queries through ChatGPT, Gemini, and Perplexity. Record whether your brand appears, which competitors are cited, and what content those competitors have that you do not.
From there, restructure your highest-value content to be more specific, factual, and directly responsive to the questions consumers ask. Ensure your brand facts are consistent across all external references. And begin tracking AI citation alongside your existing search performance metrics.
The brands that invest in understanding this shift early will have a measurable advantage. AI search is not replacing traditional search overnight, but it is capturing an increasing share of consumer attention — and the case studies and reports emerging from early adopters suggest meaningful impact on brand visibility and customer acquisition for those who adapt.
