Three things have to be true. An AI assistant has to be able to reach your website. It has to work out what you do and who you are without guessing. And when it reads your pages, it has to find something specific enough to be worth quoting.
Most businesses fail the first one and have no idea. They didn’t block anything on purpose. A security setting somewhere between their site and the internet turns those systems away before any of the rest matters.
It’s a plumbing problem with a marketing surface, and the plumbing is where nearly everyone loses.
What does AI visibility mean?
AI visibility is the outcome: being the business an assistant names when someone asks it for a recommendation. Three disciplines deliver it, and each does a different job.
- SEO gets you the click. You appear in the list of links and someone chooses you.
- AEO gets you the answer. Your page is the source a direct answer is built from.
- GEO gets you cited in the AI’s answer. The assistant names you inside what it writes.
They stack. Answer-engine work sits inside the generative-engine problem, and search fundamentals sit underneath both. You can’t skip to the top: if a business can’t be found by conventional means, it’s rarely in the pool an assistant draws from.
That’s why we treat this as one service. There’s more on how we deliver it under getting found by AI, and our FAQ covers the questions it usually raises.
How do AI assistants decide who to name?
They search before they answer. Most cited AI answers are grounded: the system runs a search, fetches a handful of pages and writes an answer from them in real time. That’s the single most useful thing to know here, because it makes “how do I get into the model?” the wrong question. You need to be in the search results it’s drawing on, right now.
Extraction favours structure. These systems lift the parts of a page that come away cleanly. A self-contained sentence that answers a question is liftable. The same fact in the fourth paragraph, after three paragraphs of positioning, isn’t. Marketing preamble costs you here.
Trust is weighted by entity. The system has to work out who you are, the business behind the page. When a name is ambiguous, it settles on whichever entity carrying that name it’s most confident about. If a larger business elsewhere shares your name, you can describe yourself perfectly and still be overwritten by them.
Different assistants search different libraries. This one surprises people. Copilot leans on Bing. Perplexity runs its own index. Claude has used Brave’s. Google’s assistants use Google. Letting a crawler in isn’t the same as being in the index its assistant reads from, and showing up in one assistant tells you very little about the others.
Research accepted to SIGIR 2026, the information retrieval conference held in Melbourne in July, puts numbers on how little these surfaces agree. Grossman and colleagues at NJIT compared what Google’s classic results, its AI Overviews and Gemini returned across 11,500 queries. Overlap was low throughout, and the least similar pair of all was AI Overviews against Gemini, despite both being Google products.
Picture the assistant doing two jobs in sequence: first it finds candidate sources, then it decides what to quote. Search fundamentals get you into the candidate set. Structure and clarity get you quoted.
Does ranking first mean getting cited?
No. Most people haven’t caught up with this one yet.
Ranking and citation are correlated. They’re still different games. Plenty of cited sources aren’t the top-ranked result for the query they were cited on.
A Washington University team (Xu, Iqbal and Montgomery) examined 7,583 Google AI Overviews in early 2026 and found that 29.8% of the domains cited didn’t appear anywhere on the first page of results for that same query. Two caveats: it’s a preprint that hasn’t been peer reviewed, and it ran on US trending queries, which lean towards news. Your buyers’ searches are commercial. Treat the number as directional.
That’s good news if you’re small. The bar for being cited is being reachable, being clear and having the specific answer someone needs. You can get there in weeks. Outranking an established competitor takes much longer.
What are the two failures that disqualify you silently?
I’d check these before you spend a dollar on content. Both fail without an error message.
Your security layer is turning the crawlers away. A CDN or web application firewall can block AI crawlers with nothing in your robots.txt to show it. Your robots file can be perfectly permissive while the edge quietly refuses the request. The way to verify it is to check that the retrieval bots themselves get a clean response from your live site. Reading your own configuration and assuming is how it gets missed.
Your content only exists after JavaScript runs. AI crawlers render JavaScript far less reliably than Google does. If your pricing, your FAQ answers or your description of what you do are injected client-side, they can be perfectly visible to people and to Google and missing entirely for the model. For these purposes, content that only appears after scripts run can’t be cited.
We check both before anything else in an Audit, because no amount of good writing survives either one.
Smaller gaps fail just as quietly. When an AI agent evaluator checked our own site, it looked for case studies at /case-studies, hit a 404 and reported our client stories as unavailable. They’d been at /testimonials/ the whole time, and our llms.txt listed them. The agent guessed the conventional address, gave up at the 404 and concluded we had no case studies. On 3 September 2026 we added redirects to /testimonials/ from /case-studies, /case-study and /client-stories. They cost nothing. If your proof lives somewhere an agent wouldn’t guess, point the obvious addresses at it.
What should I fix first?
Roughly in order of impact against effort. The first four are weeks of structural work that keeps paying off. The last three are ongoing.
- Let the AI crawlers in, and ship an
llms.txt. Explicitly allow the retrieval bots, then confirm they get through. Thellms.txtfile is a plain statement of who you are and how to describe you. It’s cheap insurance and helps with entity clarity. Don’t let anyone sell it to you as a ranking lever: Google has said it doesn’t use it. - Fix your entity identity. Organization schema, consistent naming, links to your other profiles and a clear one-line description of what you do and where. If anything shares your name, add words that tell you apart: your category and your location, stated plainly.
- Make your people machine-readable. Person schema for whoever the expertise belongs to, named bylines on articles and credentials stated outright. Person-led businesses are easier for these systems to be confident about, and that’s an advantage worth taking.
- Structure what you sell. Service schema on each service page, and validate what you already have. Broken or fabricated schema is worse than none. Google’s guidance on its own AI features says structured data isn’t required for them and there’s no special schema to add, though it still recommends structured data for rich results.
- Add answer-first blocks to the pages that matter. A question as a heading, phrased the way a person would ask it. A first sentence that answers it completely on its own. Then the detail. Then something specific: a number, a named outcome, an example from your own work. The Washington University study above found AI Overviews appeared on 64.7% of question-form queries against 9.5% of everything else, so a heading phrased as a question does more work than it looks.
- Publish what people ask about. Definitions, costs, comparisons, how to choose, what goes wrong. Cover the whole neighbourhood of a question, properly.
- Earn mentions elsewhere. Most of what an assistant cites about you isn’t on your own site. Directories, industry listings, editorial coverage and anywhere else people discuss your business.
Finish the first four, which are mostly technical, and you can be ahead of nearly everyone in your category.
Two cheap wins most businesses skip: Bing Webmaster Tools, which is free and matters because several assistants lean on Bing’s index, and a complete Google Business Profile, which works as an identity anchor well beyond local search.
What should I be sceptical of?
I’d be more sceptical than usual here. This field has a measurement problem and some people are exploiting it.
Anyone guaranteeing you’ll be recommended. Nobody controls what a model says. Google’s own guidance names ranking and performance guarantees as a red flag, and that’s a reasonable test to apply to anyone pitching you.
Anything that looks like gaming the system. Content written only for crawlers, fabricated Q&A stuffing, bought mentions at volume. Search platforms have explicitly named manipulation of generative answers as spam, and it carries a penalty risk.
Tools that promise precise measurement. People don’t ask assistants in stable, repeatable terms the way they type searches. Most tools model visibility by sampling synthetic prompts. That’s useful for spotting a trend. It’s still a sample, whatever some vendors imply.
Volume for its own sake. Publishing more thin pages is the most common expensive mistake. Structure and specificity beat quantity, and mass-produced pages targeting question variations can trip content-abuse policies.
This is directional work. It compounds and it’s worth doing, but you can’t forecast it in a straight line the way you can with paid media.
Does this apply in Australia yet?
Most of it does.
The discovery and citation game is fully live here. AI Overviews and conversational search are running in Australia. If buyers in your category are asking assistants who to use, that’s happening now, and everything above applies.
The agentic side has only just started here. Google’s agentic checkout, where an AI agent completes the purchase for you, now works in Australia, but only in English and only at select merchants that take Google Pay, and Google says its new checkout tools for merchants reach Australia early in 2027. So build the cheap foundation now. Anyone calling it an emergency is manufacturing urgency.
One local specific worth two minutes: put your legal business name and ABN on your site. It’s a concrete signal that you’re a registered business, it costs nothing and most Australian businesses leave it off.
I’ll be straight about the evidence. Almost all published research on this is US or global, and there’s very little Australian data, so read the numbers you see, including the ones above, as directional.
If you want to know whether any of this is costing you now, start with a free Snapshot. Or tell us about your business on a discovery call and we’ll come back to you with what to fix first.
FAQ
How do I get my business recommended by ChatGPT?
Let its crawlers reach your site. Make your identity unambiguous with structured data and consistent naming. Then give it answer-first content specific enough to quote. ChatGPT grounds its answers in a search index, so conventional findability still matters.
Is GEO just SEO with a new name?
Mostly it’s shared foundations, and the difference is narrower than the marketing suggests. The same technical base serves both. What generative optimisation adds is crawler access for AI bots specifically, and entity clarity so the system knows who you are. Good SEO gets you most of the way there.
Can anyone guarantee AI will recommend my business?
No. Nobody controls what a model says, so treat a guarantee as a reason for suspicion. What you can improve is whether you’re reachable, identifiable and quotable, which raises the odds substantially without promising an outcome.
How long does it take to see results?
The technical foundations can be fixed in weeks. Entity strength and citations elsewhere build over months. If a first check finds blocked crawlers, that one fix can change things quickly, because you were invisible, not uncompetitive.
Do I need to rank on page one to be cited?
No. You need to be retrievable, and after that citation is decided more by whether your answer is extractable and your identity is clear. That’s why smaller businesses can be cited alongside much larger ones.
What is llms.txt and do I need it?
A plain-text file that says who you are and how to describe your business. It’s cheap to add and useful for entity clarity, so it’s worth having. It isn’t a ranking mechanism, and Google has said it doesn’t use it, so be wary of anyone selling it as a growth lever.
How do I know if AI can even see my website?
Check that the AI retrieval crawlers get a clean response from your live site, through whatever security sits in front of it. Then check that your key content is in the raw page source, before any JavaScript runs. Both failures are silent, and both are common.
