Generative Engine Optimisation (GEO) — How to Rank in AI-Powered Search

When someone asks ChatGPT "who's a reliable electrician in Brisbane?" and your business doesn't come up, that's a GEO problem. Generative Engine Optimisation (GEO) is the practice of making sure generative AI tools (ChatGPT, Gemini, Perplexity, and others) cite your content as a source when answering questions in your field. It's not traditional SEO with a new label. It targets a different set of signals for a different kind of result: being the source an AI model pulls into its answer, not the link that ranks first on a search results page.

This page goes deep on GEO specifically. For the broader picture, how GEO fits alongside Answer Engine Optimisation (AEO) and AI search visibility tracking, read our AI search optimisation guide.

Generative Engine Optimisation is the set of strategies and tactics that increase the likelihood of your content being cited by generative AI systems. When ChatGPT answers a question and includes a footnote or citation link to your website, that's a GEO win. When Gemini generates an answer and references your business by name, that's a GEO win.

The term was formalised in a 2023 research paper from Princeton and Georgia Tech that studied how generative AI models select sources. The researchers found that traditional SEO signals (keyword density, backlink volume, page authority) were poor predictors of whether a source would be cited by a generative AI. Instead, the models favoured sources with direct-answer formatting, strong entity signals, and demonstrated topical authority.

GEO applies to any AI system that generates answers from web sources:

• ChatGPT with search: retrieves and cites web sources when answering questions that require current information
• Google Gemini: pulls from the web to answer questions
• Perplexity: a search-native AI tool built around source citation
• Google AI Overviews: AI-generated summaries at the top of search results (AEO targets these specifically; read our AEO guide)

Traditional SEO aims for position one on a search engine results page. GEO aims for citation in an AI-generated answer. They share some DNA, both reward authority, relevance, and good content, but the signals that win citations are different from the signals that win rankings.

Understanding how generative AI decides which sources to cite is the foundation of every GEO strategy. No one outside the companies building these models has the full picture, but research and observable behaviour point to a consistent process.

Most generative AI tools use a technique called retrieval-augmented generation (RAG). When you ask a question, the system first retrieves a set of candidate sources from the web, then generates an answer based on those sources, citing the ones it drew from most heavily.

The retrieval step works like traditional search; the system finds pages relevant to the query. But the generation step adds a filter. The AI evaluates whether a page provides a clear, extractable answer. A page that buries the answer in a long paragraph is less likely to be cited than one that states it directly.

AI systems weight sources they consider credible. Credibility signals include:

• Consistency: your business information is the same across your site, directories, and Google Business Profile
• Authority markers: your content demonstrates expertise, not just keyword relevance
• Structured data: Schema.org markup that tells the AI what your content means in machine-readable terms
• Citation history: sources that have been cited before develop a track record that makes future citations more likely

For a Gold Coast accountant, this means consistent name, address, and phone (NAP) data everywhere, content that clearly states your services and qualifications, and schema markup that identifies your business as a local accounting firm. These signals compound. The more consistent your entity profile, the more confidence the AI has in citing you.

Generative AI systems build knowledge graphs of entities: businesses, people, places, concepts. When a query references an entity ("a plumber in Ormeau"), the AI looks for entities in its knowledge graph that match. If your business entity is well-defined and consistent, you're more likely to match. We've written about how entities and triples power Google's AI rankings. The same entity-matching logic applies to generative engines.

AI systems prefer sources with demonstrated topical authority. A site with 20 in-depth articles about commercial plumbing is more likely to be cited for plumbing queries than a site with one plumbing page and 50 pages about unrelated topics. Topical depth signals that you're a genuine authority, not just a business that added an SEO page.

This is where small Australian businesses can gain an edge. A Brisbane landscaping business that publishes detailed content about local soil conditions, subtropical plant selection, and Queensland council regulations has more topical authority for "Brisbane landscaping" queries than a national franchise with a generic page. The AI sees the depth and specificity and favours the more authoritative source.

These are the strategies with the strongest evidence behind them from the Princeton/Georgia Tech research, paired with the broader principles covered in our AI search optimisation guide.

Schema.org markup is the single most impactful GEO signal you can add to your site. It tells AI systems exactly what your content is, in a format they can parse with certainty. The key schema types for GEO:

• Organisation: identifies your business entity, including name, address, URL, and service area
• FAQ: marks up question-and-answer pairs, telling AI systems "this page has direct answers to specific questions"
• Article with author: signals content ownership and expertise
• LocalBusiness: specifies your business type, location, and services
• Service: defines individual services with descriptions

Without structured data, AI systems have to guess what your content means. With it, they know. That certainty translates into higher citation likelihood.

An entity home is a page on your site that clearly and authoritatively defines your business entity. It's typically your homepage or an "about" page that states your business name, location, services, and qualifications in a consistent, structured way. The entity home is the canonical source of truth about your business. The page that every other reference to your business online should align with.

For GEO, the entity home serves two purposes. It gives AI systems a primary reference point for your entity. When the AI encounters mentions of your business elsewhere, it can verify them against your entity home. And it reinforces your entity signals through consistent internal linking. Every page on your site that references your business should link back to the entity home using consistent anchor text.

We cover the entity home concept in detail in our entity home framework for brands and services.

Content that cites reputable sources is itself more likely to be cited. The 2023 Princeton/Georgia Tech GEO study found that adding citations and source references increased citation likelihood by up to 40% in their tests (Aggarwal et al., "GEO: Generative Engine Optimization", arXiv:2311.09735, 2023). The logic is straightforward: content built on verifiable sources gives AI systems more confidence in citing you.

For a Brisbane legal practice writing about "what to do after a car accident in Queensland," citing the relevant legislation, the Queensland Government's transport department, and the Queensland Law Society makes the content more authoritative and more citable than the same content without those references.

Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) isn't just a Google concept. It's a signal that generative AI systems use too. Content that demonstrates real expertise, written by identifiable authors with relevant credentials, is more likely to be cited than anonymous or generic content.

This means:

• Name your authors and include their qualifications
• Reference your direct experience where it's relevant
• Include credentials, certifications, and professional memberships
• Make your content's expertise visible, not implied

Our guide on E-E-A-T and SEO covers these signals in depth.

AI systems strongly prefer content that states answers directly. The pattern that works:

1. A heading phrased as a question or topic statement
2. A concise answer paragraph (1–3 sentences) immediately below the heading
3. Supporting detail and context in subsequent paragraphs

This is different from the traditional SEO approach of building up to the answer over several paragraphs. AI systems want the answer first, context second. If your page takes three paragraphs to get to the point, the AI may move on to a source that gives it what it needs upfront.

A Gold Coast real estate agent's page about property management fees should open with "Property management fees on the Gold Coast typically range from 7% to 12% of weekly rent, depending on the level of service", then provide the supporting detail. That direct-answer sentence is exactly what an AI tool needs to cite.

The overlap between GEO and traditional SEO is real, but the differences matter. Search engine optimisation remains essential. GEO extends it, it doesn't replace it. Here's where the two diverge.

Traditional SEO targets keyword queries, short, specific phrases people type into a search bar. GEO targets conversational queries, the full, natural-language questions people ask AI tools.

Your content needs to serve both. Keyword-optimised pages still matter for traditional search. But for AI citations, you also need content that addresses conversational queries: headings that match how people ask questions, and answers that address the full question, not just the keyword.

Traditional SEO relies heavily on backlinks as a trust signal. More links from authoritative sites generally means higher rankings. GEO values entity trust: the confidence an AI system has that it correctly understands who you are and what you do. Entity trust comes from consistency (same information everywhere), structured data (machine-readable entity definitions), and topical authority (depth of content in your field), not from raw link volume.

A Brisbane dental practice with 20 strong backlinks and consistent, well-structured entity signals will likely be cited more often by AI tools than a practice with 200 backlinks but fragmented entity data and thin content. The ranking factors in traditional SEO don't map one-to-one to citation selection.

Ranking first on Google doesn't guarantee AI citation. AI systems evaluate sources based on how well they answer the specific question being asked, not by their position on a results page. A page ranked fifth might provide a more direct, cite-worthy answer than the page ranked first. That's why GEO requires its own approach. You can't just rank well and assume you'll be cited.

That said, ranking well helps. Pages that rank well tend to have strong authority and relevance signals, which also benefit GEO. The overlap is real, but it's partial. For the full comparison, our SEO vs GEO article breaks down the differences in detail.

You don't need a complete overhaul to start improving your GEO. These steps give you the highest return for the least effort.

1. Audit your current AI citation presence. Open ChatGPT, Gemini, and Perplexity. Ask each one 15–20 questions about your industry and your local area. Record whether your business is cited, how it's described, and which competitors appear instead. This is your baseline. Here's how to set up proper tracking.

2. Add structured data. If your site doesn't have Organisation, LocalBusiness, and FAQ schema, add it. This is the single highest-impact GEO action. Google's Rich Results Test will show you what's missing.

3. Create or refine your entity home. Make sure you have one page on your site that definitively states who you are, what you do, and where you operate. Link to it consistently from every other page on your site.

4. Optimise for direct answers. Review your top 10 pages by traffic. Under each heading, add a one-to-three sentence direct answer before the supporting detail. This alone can increase your citation likelihood.

5. Build topical depth. Identify the three to five questions your customers ask most often about your services. Write dedicated content for each one, not a paragraph on an existing page but a full page that goes deep on the topic.

For the full methodology, including entity setup, content restructuring, and ongoing tracking, read our AI search optimisation guide. And for the AEO side of the picture, structuring content for answer engines like Google AI Overviews, read the AEO guide.

If you want to know whether your business is showing up in AI-generated answers, and what to do about it if it isn't, DomainFX can help. We run GEO audits for Brisbane and Gold Coast businesses to assess where you stand and identify the highest-impact changes for your specific situation. Get in touch and we'll walk you through it.