AI Search Optimisation — How to Get Your Business Found by ChatGPT, Gemini & AI Overviews

People used to type a few keywords into Google and scroll through blue links. Now they ask ChatGPT a question and get a full answer, sourced, summarised, and cited, without ever clicking a result. Google's own AI Overviews do the same thing inside search results. If your business isn't being cited by these AI systems, you're invisible to a growing chunk of your potential customers.

AI search optimisation is the practice of making sure your business shows up when AI-powered search tools answer questions about your industry, products, or services. It's not traditional SEO repackaged. It's a separate discipline that sits alongside your existing search strategy and addresses a different set of signals.

AI search optimisation covers everything you do to get your business cited, mentioned, or recommended by AI-powered search tools: ChatGPT with search, Google AI Overviews, Gemini, Perplexity, Bing Copilot, and others that continue to appear. It builds on the foundations of Search Engine Optimisation (SEO) but targets a different set of signals and a different kind of result: being cited in AI-generated answers rather than ranking in traditional search results.

These tools don't rank pages the way Google does. They retrieve sources, weigh them against a query, and generate an answer that cites the most relevant and trustworthy ones. Being on page one of Google helps, but it's no guarantee that ChatGPT will reference you. AI search optimisation targets the specific signals these systems use to decide who gets cited.

The field breaks down into three connected pillars:

• Generative Engine Optimisation (GEO): optimising content so generative AI models cite you as a source when answering questions. This is about being the reference that ChatGPT, Gemini, or Perplexity pulls into its response. Read the full GEO deep dive.
• Answer Engine Optimisation (AEO): structuring your content so answer engines (Google AI Overviews, Bing Copilot) can extract and attribute your answers directly. Think concise, direct-answer formatting that AI can parse and cite. Read the full AEO deep dive.
• AI search visibility tracking: measuring how often AI tools cite you, which competitors are getting cited instead, and whether your optimisation efforts are actually working. You can't improve what you don't measure. Read the full tracking guide.

All three work together. You optimise for citations (GEO), structure for extraction (AEO), and track the results. Skip any one and you're working blind.

Google AI Overviews started rolling out to Australian users in late 2024 and expanded significantly through 2025 (Google — Introducing AI Overviews in Australia, October 2024). By early 2026, AI Overviews appear for a substantial share of informational queries in Australia, particularly in health, finance, how-to, and local service categories. ChatGPT search launched globally in late 2024 and is available to Australian users. Perplexity and Bing Copilot are already in the mix. These aren't pilots — a meaningful share of users now rely on them as a primary way to find information.

For a Brisbane plumber, a Gold Coast accountant, or an Ormeau-based web agency (that's us), the shift is already visible. A potential customer asks ChatGPT "who's a good web designer on the Gold Coast?" and gets a cited answer. If your business isn't in that answer, you've lost that enquiry before it even becomes a Google search.

Early data from referral tracking in 2025 shows AI-driven traffic, visits from ChatGPT, Perplexity, and AI Overview citation links, is still smaller than traditional organic search, but it's growing. Some Australian businesses in professional services and trades are reporting AI-driven referral traffic that's comparable to what they see from Bing. That's not nothing, and the trend is upward.

The businesses that establish AI search visibility now are building an advantage that compounds. AI models develop source preferences over time. The more a model cites you, the more confident it becomes in citing you again. Getting in early matters.

There's a parallel worth noting. When Google first launched in Australia, businesses that invested early in SEO built rankings that were far easier to maintain than those who came late and had to climb over established competitors. The evolution of SEO from 1995 to 2025 shows this pattern repeating with every major shift in search behaviour. AI search is at a similar inflection point. The cost of getting cited now, structured data, entity alignment, content restructuring, is relatively low. The cost of catching up in two years, when your competitors have had time to build entity confidence and citation history, will be significantly higher.

This isn't about abandoning your existing SEO work. Your search engine optimisation strategy still matters. Google's traditional results aren't going away. AI search optimisation sits alongside it, covering the ground that traditional SEO doesn't reach.

Understanding why AI tools choose one source over another is the foundation of every optimisation effort. The exact algorithms are opaque, no one outside OpenAI or Google knows the full picture, but research and observable behaviour point to a handful of consistent factors.

When you ask ChatGPT a question that requires current information, it searches the web, retrieves a set of candidate sources, and then decides which ones to cite. The retrieval step is similar to traditional search, relevance and authority matter. But the selection step is different. AI models prefer sources that provide clear, direct answers, not pages that make the reader piece together information from scattered paragraphs.

AI systems build knowledge graphs of entities: businesses, people, concepts. If your business has a strong, consistent entity profile (same name, address, phone number, and service descriptions everywhere), the AI is more confident it knows who you are. That confidence translates into citations. An entity that's mentioned consistently across trusted sources is more likely to be surfaced than one with fragmented or contradictory information.

Think of it this way: if five reputable directories say your Ormeau business does "web design and SEO" and your own site says the same thing, the AI has high confidence. If your Google Business Profile says one thing, your site says another, and directories have old data, confidence drops, and so does your citation likelihood.

Schema.org markup, the code that tells search engines what your content means, not just what it says, is a strong signal for AI systems. FAQ schema tells an AI "this page has direct answers to specific questions." Organisation schema tells it "this is a business entity with these attributes." Article schema with author information supports Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) signals.

We've written about how entities and triples power Google's AI rankings. The same principles apply to citation selection in generative AI.

Traditional SEO optimises for keyword queries: "web design gold coast." AI search optimisation accounts for conversational queries: "I need a reliable web designer near the Gold Coast who understands small business, any recommendations?" The AI processes the full question, considers the user's intent, and generates an answer that addresses all parts of the query.

Content that answers questions thoroughly, not just targeting a keyword but addressing the surrounding context, is more likely to be cited. This is why shallow, keyword-stuffed content loses to well-structured, genuinely helpful content in AI search results.

The shift from keywords to conversation also changes how you should think about page structure. A page that answers "web design gold coast" by repeating the phrase eight times might have worked for old-school SEO. A page that clearly answers "What does a web designer on the Gold Coast cost?", "How do I choose a web designer for my small business?", and "What should I look for in a local web design agency?". Each with a direct answer, these pages are far more likely to be cited by an AI tool responding to a conversational query.

This doesn't mean keyword research is dead. It means the research needs to shift toward understanding the questions your customers actually ask in natural language, then building content around those questions. Our post on how AI is changing keyword research goes deeper on this.

Each pillar has its own strategies, tactics, and signals. Here's a quick overview with links to the full guides.

GEO focuses on getting generative AI tools (ChatGPT, Gemini, Perplexity) to cite your content as a source. The core strategies involve structured data, entity-home alignment, citation-rich content, and building the kind of topical authority that makes your site a go-to reference for your industry. If you're a Brisbane electrician, GEO means making sure ChatGPT names you when someone asks "who are reliable electricians in Brisbane?", and cites your site as the source. Read the full GEO guide.

AEO focuses on structuring your content so answer engines (Google AI Overviews, Bing Copilot) can extract and attribute your answers. This means direct-answer formatting, FAQ schema, concise answer paragraphs (40–60 words) followed by supporting detail, and heading patterns that match how people ask questions ("What is…", "How do I…", "Is it…"). If you've ever optimised for featured snippets, you're already partway there. AEO builds on that foundation. The connection to voice search optimisation is also relevant: voice assistants are answer engines too, and the content structures that work for one tend to work for the other. Read the full AEO guide.

You need to know whether any of this is working. Tracking AI search visibility means measuring citation rates, monitoring referral traffic from AI platforms, and running regular audits to see which competitors are getting cited in your place. Without tracking, you're guessing. Read the full tracking guide.

You don't need a full strategy document to start improving your AI search visibility. These five actions can be done in a few hours each and move the needle.

If your service pages don't have FAQ sections with FAQ schema markup, add them. Every FAQ is a direct-answer opportunity for AI systems. A Gold Coast real estate agent could add "How much is a property inspection on the Gold Coast?" with a concise answer. That's the exact format AI Overviews and ChatGPT look for when answering that question.

Make sure your business name, address, phone number, and service descriptions are identical on your website, Google Business Profile, and every directory listing. Consistency builds entity confidence. Even small variations (a missing suburb, an abbreviated service name) create confusion.

For a Brisbane business, this means checking your listing on Google Business Profile, Yellow Pages, TrueLocal, Yelp, and any industry-specific directories. If your website says "Brisbane web design and SEO" but your Google Business Profile says "website design Brisbane, search optimisation," that's an inconsistency that erodes entity confidence. Pick one canonical version of every key piece of information and use it everywhere.

Review your top five pages by traffic. Under each H2 or H3 heading, add a one-to-two sentence direct answer before the supporting paragraphs. AI systems love content where the answer is right there, clearly stated, not buried three paragraphs deep.

Run your site through Google's Rich Results Test or a schema validator. Missing schema, incorrect schema, or schema that doesn't match your visible content are all signals you're leaving on the table. Our on-page SEO checklist covers the basics. For AI search, entity and FAQ schema are the priority.

Open ChatGPT, Gemini, and Perplexity. Ask each one 10–15 questions about your industry and local area. Note whether your business comes up, which competitors do, and how the AI describes your services. That's your baseline. You can't improve what you haven't measured. Here's how to set up a proper tracking process.

We're doing this for ourselves. The page you're reading is part of our own AI search cluster. Here's the process we follow for clients and for our own site.

We start by checking where you currently stand. That means running queries across ChatGPT, Gemini, Perplexity, and Google AI Overviews to see if your business is being cited, how it's described, and which competitors are winning the citations you're not. We also audit your structured data, entity consistency, and content structure against what AI systems prefer.

The audit covers three layers. First, the AI citation layer (are you showing up in AI-generated answers?), the technical layer (is your structured data complete and correct, and are your entity signals consistent?), and the content layer (does your content answer questions the way AI tools want to consume them?). Most businesses pass one or two layers but fall short on the third.

If your entity signals are inconsistent or missing, we fix that first. Google Business Profile alignment, directory consistency, schema markup on your site, and an entity home page that clearly states who you are, what you do, and where you do it. This is the foundation. Without it, content optimisation has less impact.

With the entity foundation in place, we restructure and create content designed for AI citation. FAQ sections with schema. Direct-answer formatting. Topical depth that makes your site a credible reference. Internal links that reinforce your entity signals across your site. We apply GEO strategies and AEO strategies as appropriate for your business and industry.

The key shift is from writing for search engine crawlers to writing for AI answer generation. Crawlers index text. AI systems evaluate whether your text is worth citing. That means content needs to do more than include the right keywords. It needs to provide clear, authoritative answers that an AI can extract and attribute. Every major section on your site should have a concise answer paragraph that stands on its own.

We set up a tracking cadence, monthly re-audits across the main AI platforms, so we can see what's changing, what's working, and where to adjust. Without this, you're spending time and money on optimisation with no feedback loop. Here's how we approach tracking.

The tracking isn't just "are we cited or not." We look at how the AI describes your business when it does cite you (is it accurate?), which specific queries trigger citations, whether your citations are increasing month over month, and what your competitors are doing differently. Patterns in this data tell you where to invest next: more FAQ content, stronger entity signals, deeper topical authority on a specific subtopic.

No two businesses need exactly the same thing. A trades business in Brisbane might need entity setup and local FAQ content. A professional services firm on the Gold Coast might need deeper content restructuring and schema work. The audit tells us where to start.

It's not. Traditional SEO and AI search optimisation share some signals (authority, relevance, good content), but they diverge significantly. Traditional SEO targets keyword rankings on a search engine results page. AI search optimisation targets citation in AI-generated answers. A page can rank well on Google and never be cited by ChatGPT, and vice versa. The strategies overlap but aren't interchangeable. The ranking factors that matter most in traditional SEO (backlinks, user engagement, page speed) don't map cleanly to AI citation selection. We break down the differences in detail in our SEO vs GEO comparison.

Consider this: Google's ranking considers hundreds of signals, many of them related to link authority and user engagement. AI citation selection is more like asking a knowledgeable person "who's the best source on this topic?" It values clarity, directness, and demonstrated expertise over raw link volume. A small business with excellent, well-structured content can out-cite a large competitor with a bigger backlink profile but weaker answers.

You don't, and trying to is counterproductive. AI models are trained to detect and disregard manipulative content. The effective approach is to be genuinely useful: clear answers, accurate information, consistent entity signals, and content that demonstrates real expertise. The AI systems that cite sources are designed to prefer trustworthy ones. Being trustworthy is the strategy.

Some early "GEO hacks", like stuffing pages with citation markers or creating content solely to trick AI into citing you, have already lost effectiveness as models have improved. The sustainable approach is the same one that works for good SEO: be genuinely useful, be specific, be consistent, and demonstrate real expertise. Our post on SEO trends and AI-driven search changes covers this in more detail.

Small businesses often have an advantage here. A local business with consistent entity signals and well-structured content can get cited by AI tools just as readily as a national brand, sometimes more readily, because AI systems value specificity. "The best plumber in Ormeau, QLD" is a more confident citation than "a major Australian plumbing company." Local specificity is a strength, not a limitation. Australian local businesses with strong entity signals and well-structured content are starting to surface in AI citations more reliably than larger generic competitors — a pattern worth tracking as the space matures.

This is worth underscoring: when someone asks an AI tool for a local recommendation, the AI is looking for a specific entity to name: a business with a clear identity, location, and service offering. Large national brands are often too generic to cite for a specific local query. A Brisbane dental practice with strong entity signals and well-structured FAQ content is more citable than a national chain with a thin local page.

If you want to know where your business stands in AI search results, which AI tools are citing you, which aren't, and what to change, we can help. DomainFX runs AI search audits for Brisbane and Gold Coast businesses that show you exactly what's happening and what to do about it. Get in touch and we'll walk you through it.