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What is Generative Engine Optimisation (GEO)? A Plain-English Guide for Australian Businesses

Learn what generative engine optimisation (GEO) is, how it differs from SEO, and a practical self-audit checklist for Australian SMEs to improve AI search visibility.

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What is generative engine optimisation (GEO)?

Generative engine optimisation (GEO) is the practice of making your business's content easier for AI-powered search engines to find, understand, and cite when they generate answers. Unlike traditional SEO, which focuses on ranking in a list of blue links, GEO aims to get your brand mentioned in the AI-generated summaries that appear in tools like Google AI Overviews, ChatGPT, and Perplexity. The goal is to become a source that AI systems trust enough to reference when answering user questions.

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Think of GEO as preparing your content for a very different kind of reader: an AI model that scans millions of documents, extracts key facts, and synthesises them into a single answer. To be cited, your content must be clear, structured, and authoritative. This means using plain language, organising information logically, and providing direct answers to common questions. It also means building your brand's reputation as a reliable source through consistent, high-quality content and technical signals like structured data.

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For Australian businesses, GEO is particularly relevant because AI search is becoming mainstream. Google's AI Overviews are now shown for many queries in Australia, and users are increasingly turning to AI assistants for product research and local recommendations. If your business is not optimised for these systems, you risk becoming invisible in the answers that matter most to your customers. To learn more about how I approach digital strategy, see my About page.

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How does GEO differ from traditional SEO?

Traditional SEO focuses on optimising for search engine algorithms that rank web pages in a list. This involves keyword research, backlinks, and technical fixes to improve your position in organic results. GEO, on the other hand, targets the AI models that generate answers directly. While some SEO practices still apply, GEO requires additional considerations because AI systems evaluate content differently.

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One key difference is the importance of entity clarity. AI models need to understand what your business is, what you offer, and how you relate to other concepts. This means using consistent naming, providing clear descriptions, and linking to authoritative sources that define your industry. Structured data, such as Schema.org markup, helps AI systems parse your content more accurately, increasing the likelihood of being cited.

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Another difference is the focus on citable answers. AI models often pull short, factual statements from web pages to support their responses. To be citable, your content should include concise definitions, statistics, and step-by-step explanations that can be easily extracted. This is why many GEO strategies involve creating FAQ sections, glossaries, and how-to guides that directly answer common questions.

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It's important to note that no one can guarantee inclusion in AI answers. AI systems are probabilistic and constantly evolving, so even well-optimised content may not always be cited. However, by following GEO best practices, you can improve your chances of being considered a reliable source. For a deeper dive into how online communities can support your content strategy, check out my article on Online Community.

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A practical self-audit checklist for AI search visibility

You don't need expensive tools to start improving your GEO. Here is a numbered checklist you can run in one afternoon to assess whether AI search can find, understand, and cite your brand:

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  1. Check your presence in AI answers. Search for your brand name plus a common question your customers ask (e.g., "Is [your brand] good for [service]?") in Google, ChatGPT, and Perplexity. Note whether you appear in the AI-generated summary or only in traditional results.
  2. Evaluate entity clarity. Visit your homepage and key service pages. Is it immediately clear what your business does, who it serves, and where it operates? Ensure your business name, address, and phone number (NAP) are consistent across your website and online directories.
  3. Assess structured data. Use Google's Rich Results Test to check if your pages have valid Schema.org markup for your business type (e.g., LocalBusiness, Product, Article). If not, consider adding JSON-LD structured data to help AI systems understand your content.
  4. Identify citable statements. Look at your top five pages. Do they contain clear, factual statements that an AI could quote? For example, "We are a family-owned plumbing company serving Brisbane since 2005." If not, rewrite key sections to include such statements.
  5. Review content structure. Are your pages organised with descriptive headings, short paragraphs, and bullet points? AI models prefer well-structured content that is easy to parse. Break up long blocks of text and use H2/H3 tags logically.
  6. Check for authority signals. Does your site link to reputable sources? Do you have an About page with credentials and experience? AI systems consider E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) when evaluating sources. Add relevant credentials and links to industry associations.

Running this audit will give you a baseline understanding of your current AI search visibility. From there, you can prioritise improvements based on the gaps you find. If you need help implementing these changes, feel free to contact me.

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Why entity clarity, structured data, and citable answers matter

Entity clarity is the foundation of GEO. AI models build a knowledge graph of entities (people, places, things) and their relationships. If your business is not clearly defined as an entity, AI systems may not recognise you as a relevant source. This means using consistent naming, providing detailed descriptions, and linking to authoritative sources that define your industry. For example, if you run a dental clinic, your website should clearly state "We are a dental clinic in Melbourne offering general and cosmetic dentistry."

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Structured data helps AI systems understand the context of your content. Schema.org markup allows you to explicitly label elements like your business name, address, opening hours, and reviews. This machine-readable format reduces ambiguity and increases the likelihood that AI models will correctly interpret your information. While structured data is not a direct ranking factor for AI answers, it improves the chances of being cited because it makes your content more accessible to automated systems.

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Citable answers are the currency of GEO. AI models often extract short, factual statements to support their responses. To be citable, your content should include concise definitions, statistics, and step-by-step explanations. For instance, instead of writing a long paragraph about your services, break it down into bullet points with clear benefits. This makes it easier for AI to pull a specific fact and attribute it to your brand.

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Remember, these elements work together. Entity clarity tells AI who you are, structured data tells AI what your content means, and citable answers give AI something to quote. By focusing on all three, you create a strong foundation for AI search visibility. For more insights on how to structure your content effectively, read my article on Social Media.

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Frequently asked questions about GEO

Can I guarantee my business will appear in AI Overviews?

No, you cannot guarantee inclusion in AI answers. AI systems are probabilistic and constantly changing, and even well-optimised content may not always be cited. However, following GEO best practices can improve your chances of being considered a reliable source.

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How long does it take to see results from GEO?

Results vary depending on your industry, competition, and the quality of your content. Some businesses see improvements within weeks, while others may take months. GEO is an ongoing process, not a one-time fix.

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Is GEO only for large businesses?

No, GEO is relevant for businesses of all sizes. In fact, small and medium businesses can benefit greatly because they often have more specific, localised content that AI systems can easily cite. The key is to focus on clarity and authority.

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Do I need to hire an expert to do GEO?

Not necessarily. You can start with the self-audit checklist in this article and make basic improvements yourself. However, if you lack the time or technical expertise, working with a professional who understands AI search can be beneficial. I offer consulting services—see my projects for examples of my work.

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FAQ

What is the difference between GEO and SEO?

GEO focuses on optimising content for AI-generated answers, while traditional SEO focuses on ranking in a list of web links. GEO requires entity clarity, structured data, and citable answers to be considered by AI systems.

How do I check if my business appears in AI search results?

Search for your brand name plus a common customer question in Google, ChatGPT, and Perplexity. If your business is mentioned in the AI-generated summary, you have some visibility; if not, you may need to improve your GEO.

What is structured data and why does it matter for GEO?

Structured data is a standardised format (like Schema.org) that helps AI systems understand the content on your web pages. It matters because it reduces ambiguity and increases the likelihood that AI models will correctly interpret and cite your information.

Can small businesses compete with larger brands in AI search?

Yes, small businesses can compete by focusing on specific, localised content that directly answers customer questions. AI systems often favour clear, authoritative sources regardless of size, so a well-optimised small business can be cited over a larger but less clear competitor.

Sources

  1. Google Search Central: AI Features — Google
  2. Google Search Central: Creating Helpful Content — Google
  3. Schema.org — Schema.org