Becoming the business AI recommends. When someone asks ChatGPT, Gemini or Perplexity who to hire in Adelaide, one name comes back — and this page is about how that choice gets made, and how to make it yours.
Someone in Prospect opens ChatGPT and types “best electrician near me in Adelaide.” They don't scroll a page of ten blue links and weigh them up. They get a short, confident answer — often a single business, sometimes two or three. Whoever gets named wins the job. Everyone else may as well not exist for that search.
That's a different game to ranking on Google, and it's decided differently. This page is about the decision itself: how a large language model picks who to name, why it lands on one Adelaide business over another, and what it takes to be the one it chooses. If you want the full service and how we deliver it, that's covered by our AI search optimisation agency services.
No AI model has a secret ranking dial. When a large language model answers “who's best for this in Adelaide?”, it's weighing several kinds of signal at once. Understanding them is most of the battle — so here's what's actually going on under the hood.
Training data. Models learn from an enormous slice of the web frozen at a point in time. If your business was clearly described and frequently mentioned across that data, the model already “knows” you and can bring you up without looking anything up. Businesses that have been consistently present online for years have a quiet head start here.
Live retrieval. Most modern tools — ChatGPT with search, Gemini, Perplexity — also fetch fresh pages mid-answer to fill gaps and check facts. That's your chance to influence answers now, not just in the next training run. Clean, current, quotable pages are what get pulled in and repeated.
Entity recognition. Before a model can recommend you, it has to be sure who you are — that “Smith Electrical” in Prospect is one specific business with one location, one set of services and one reputation. Ambiguous or inconsistent information makes a model hesitate, and a hesitant model reaches for a clearer competitor instead.
Citation frequency. The more often credible, independent sources mention you — directories, local media, industry bodies, other trusted sites — the more confident a model is naming you. It's a proxy for “lots of reliable places vouch for this business,” and it's one of the strongest levers you have.
Review signals. Models lean heavily on reviews and reputation, because that's how humans decide too. A deep, steady, genuine review profile tells a model you're not just findable but trusted — and trust is what tips a recommendation from “here are some options” to “I'd go with this one.”
LLM visibility is simply how present your business is inside AI answers: how often you're mentioned, in what context, for which prompts, and across which platforms. It's the AI-era version of “are we showing up?” — except instead of a rank on one search engine, it's a pattern of mentions spread across ChatGPT, Gemini, Perplexity and Copilot, each of which may describe you differently or not at all. Two businesses can rank identically on Google and have wildly different LLM visibility.
LLM optimisation — also called LLM SEO or, more broadly, generative engine optimisation — is the deliberate work of improving that. It means making your business unmistakably clear to a model, well-cited across the sources it trusts, and genuinely worth recommending, so that when the right question is asked, you're the answer. It isn't about tricking the model; the systems are built to be sceptical of that. It's about being, provably, the obvious credible choice — and making that easy for a machine to see.
Adelaide is a genuinely good place to get ahead on this — not because the tech treats it specially, but because of who else is (and isn't) competing. The local entity graph is smaller: fewer businesses, fewer overlapping names, less for a model to untangle. That makes it easier to be recognised clearly as the business you are.
Just as importantly, very few Adelaide competitors have a structured, well-cited presence built for AI yet. In Sydney or Melbourne you're fighting through far more noise — more businesses with big content teams and deep citation footprints already in place. Here, the field is open. The businesses that get their foundations right now are staking a claim before most of their competitors have realised there's one to stake.
We won't pretend that makes it effortless, or that being early is a guarantee — it isn't. But “smaller pond, fewer swimmers, most of them not paying attention” is a real, honest advantage, and it won't last forever.
Generative engine optimisation isn't one lever — it's a handful of trust signals, built up together until a model is confident naming you.
We make your business unmistakable to a model: one consistent name, location and set of services across every place it looks, so there's no doubt who you are or what you do.
The behind-the-scenes markup that spells out your business in a language machines read directly — turning “probably this business” into “definitely this business.”
Getting your name onto the credible, independent sources models learn from and trust — directories, local media, industry sites — so plenty of reliable places vouch for you.
A steady, genuine review profile across Google and beyond. Reviews are one of the strongest signals a model uses to decide who's actually worth recommending.
Pages that answer the real questions your customers ask, plainly and up front — written so a model can lift a clean, accurate line and cite you as the source.
None of this means anything if you can't see it. AI answers don't come with a rankings dashboard, so we build our own picture — proper AI visibility tracking, run on a schedule so we're comparing like with like.
We agree on a set of real prompts your customers would actually type — “best mortgage broker in Adelaide”, “emergency plumber near me” — and test them across the tools that matter: ChatGPT, Gemini, Perplexity and Copilot. For each one we record whether you're named, how you're described, who gets recommended instead, and whether the answer cites you as a source. Because each platform sources information differently, we watch them separately rather than assuming a win on one carries to the others.
You get a plain-English monthly report: where your visibility grew, where it slipped, and what we're doing next. No vanity metrics — just whether AI is recommending you more than it was last month.
GEO doesn't replace your other search work — it sits on top of it. SEO gets you ranking in Google's results, AEO (answer engine optimisation) gets you into snippets and direct answers, and GEO gets you cited inside AI-generated recommendations. They share the same foundations, so the work compounds across all three.
If you want the plain-English breakdown of how SEO, AEO and GEO differ, and the full picture of how it all fits together, that lives on our AI search optimisation agency services page. This page is the deep dive on the GEO half — the being-recommended part.
We won't dress this up. Generative engine optimisation is a young field, the rules aren't fully settled, and a model update can reshuffle who gets recommended with no warning and nothing you did wrong. We don't control the models, and we won't promise a spot inside them.
What we will promise is honesty: real testing, plain-English reporting, and a straight answer about whether this is worth your money yet or not. The upside of being early is exactly that it's early — the businesses laying these foundations now are the ones AI will already trust when everyone else piles in. That's not a weakness in the pitch. It's the whole reason to start.
GEO usually works as a layer inside one of our plans, built on the same foundations as your SEO. Same plans as the rest of Strivo, month to month, no lock-in.
For laying the foundations.
For building real visibility.
For established businesses & multiple locations.
Generative engine optimisation (GEO) is the work of getting your business named and cited when people ask AI tools like ChatGPT, Gemini and Perplexity for a recommendation. Instead of chasing a ranking position, the goal is to be the business the model brings up. It's sometimes called LLM optimisation or LLM SEO, and it draws on the same trust signals that build authority online.
ChatGPT decides based on what it has learned and what it can retrieve live — pulling on how clearly your business is defined, how often credible sources mention you, and how strong your reviews are. It leans toward businesses that are unambiguous, widely cited and well-regarded. There's no single ranking factor; it's a pattern of trust signals across the web that the model weighs together.
LLM optimisation is shaping your online presence so large language models — the tech behind ChatGPT, Gemini and Copilot — understand your business clearly and recommend it confidently. It overlaps heavily with GEO and LLM SEO. In practice it means clean entity information, structured data, a solid citation footprint, genuine reviews and content that's easy for a model to quote accurately.
No. Anyone guaranteeing that is guessing. AI tools decide what to say from data we don't control, and model updates can shift results overnight. What we can do is build the trust signals that genuinely make a model more likely to name you — clear information, citations, reviews, quotable content — and track how your visibility changes over time, honestly.
Traditional SEO aims to rank a page in Google's list of links; GEO aims to be the business cited inside an AI's written answer. SEO measures rankings and traffic; GEO measures mentions and citation share across AI tools. They share foundations — clear content, authority, reviews — but GEO cares more about entity clarity and how quotable you are than about any single keyword.
It varies, and nobody can promise a date. Cleaning up how your business is defined and adding structured data can influence answers within weeks. Building the citations and authority that make models consistently recommend you takes months. We test your visibility on a regular schedule and tell you what's moving and what isn't, in plain English.
Our pricing is published and month to month, with no lock-in — plans start at $590/mo. For most Adelaide businesses, generative engine optimisation is a layer within a plan rather than a separate spend, since it builds on the same foundations as your SEO. Book a free GEO visibility check and we'll give you a straight number for your situation.
Book a free GEO visibility check. We'll test how ChatGPT, Gemini and Perplexity describe your business today, show you who's getting recommended instead, and tell you honestly whether it's worth chasing yet.