Your AI SEO agency.
Be the answer,
not just a result.

AI SEO is the practice of optimising your business to be found, understood and cited by AI search tools rather than only by traditional search engines. It covers technical accessibility, content structure, entity consistency and off-site credibility, so AI systems can retrieve your information and represent it accurately.

In practice it overlaps heavily with good SEO. The same technical foundations matter, the same content quality matters, and the same authority signals matter. What differs is the emphasis. Traditional SEO optimises a page to win a position in a list. AI SEO optimises a phrase to be worth quoting inside an answer or a brand to be referenced against a topic.

That shift changes how content gets written and structured, but it does not throw out the fundamentals. If your SEO is in good shape, you are starting from a strong position.

They describe overlapping work at different points in the same process:

• SEO (search engine optimisation): optimising to rank in a list of links on a results page. Measured in rankings, impressions and clicks.
• GEO (generative engine optimisation): optimising to be retrieved and cited inside an AI-generated response. Measured in citation frequency and share of voice.
• AEO (answer engine optimisation): optimising to be the direct answer to a specific question, whether that surfaces in a featured snippet, a voice result or an AI answer.
• AI SEO: the term we use for all of it.

The distinctions are real, but they are mostly academic from a client's point of view. Nobody is doing generative engine optimisation without also fixing the technical foundations, and nobody is winning answer capture without content that would rank anyway. We would rather talk about what actually gets done than which acronym it fits under.

You do not rank, strictly speaking. There is no position to hold in an AI answer, only whether your content is retrieved and used. What improves the odds:

• Answer the question early. Put the direct answer in the first sentence or two of a section rather than building up to it.
• Write content that can stand alone. If a paragraph only makes sense after reading the one before it, it will generally not be used.
• Be technically reachable. Content that only renders after JavaScript runs is frequently not retrieved at all.
• Use structured data. Schema markup specifies what a page is about and which business it belongs to, rather than leaving it to infer both.
• Stay consistent. Your business should be described the same way across your site, your profiles and every directory you appear in.
• Earn credible mentions. Being referenced by sources with standing in your industry is one of the strongest signals available.

None of these is a trick, which is the point. They are the things that make a source genuinely useful to quote.

No. AI search sits alongside traditional search rather than replacing it, and the work that makes you visible in one largely makes you visible in the other.

What has changed is where an answer can appear. An AI Overview can answer a straightforward question on the results page itself, which changes the job of content whose only purpose was to answer that question. Queries with commercial intent behave differently, because people comparing options still want to see the options.

Myth 1: your SEO playbook is obsolete. It is not. The technical foundations, content quality and authority signals that drove rankings are the same inputs AI systems draw on.

Myth 2: you need to start over. You need to restructure and sharpen what you have, not bin it. Most of the work we do on AI SEO engagements is improving existing content rather than replacing it.

Myth 3: AI search will replace Google. Google is the company deploying AI search hardest. This is a change in how results are presented, not the end of search.

Often less than you would expect, and that is a good thing. If your existing SEO is solid, much of the groundwork for AI visibility is already there, and the additional work is structural rather than foundational.

Typically it means restructuring content so answers sit near the top of sections, tightening how consistently your business is described across the web, extending your structured data, and adding measurement that most SEO campaigns do not currently include.

We are happy to work alongside an existing agency where that arrangement suits you, and equally happy to take on the whole picture. What we will not do is tell you your current agency has been doing it wrong in order to win the work. Sometimes they have. Often they have simply been measured against a different goal.

This is more common than most businesses realise, and it is usually fixable. Our approach:

• Find it: we run structured prompts across the major AI tools to capture what is actually being said about your business, rather than relying on spot checks.
• Trace it: incorrect claims almost always come from somewhere. Old pages, outdated directory listings, third-party profiles, or a similarly named business being confused with yours.
• Correct the sources you control: your own site, your profiles and your listings get updated first, because those carry the most weight and are the fastest to change.
• Address the ones you do not: depending on the source, outreach where a correction is reasonable, and where it is not, publishing the correct version often enough and in enough credible places that it outweighs the stale one.
• Recheck: we monitor the same prompts over time to confirm whether the correction has taken, because it does not always take on the first attempt.

Nobody can edit a model's output directly. What is achievable is changing the evidence it draws on.

AI SEO runs as part of an SEO campaign rather than as a standalone service, and starts from $1,000 + GST per month on top of your SEO investment. Where a specific campaign lands depends on the size of your site, the competitiveness of your category and how much content work is needed.

The variables that move the number most are the volume of existing content needing restructuring, whether the technical foundations need fixing first, and how many competitors are already established in AI answers for your terms. A single-location service business with a clean, small site sits at the lower end. A national ecommerce catalogue does not.

We will give you a proposal before you commit to anything, and we will tell you if we think the spend is better directed somewhere else first. There is no value in selling AI SEO to a business whose website cannot be crawled properly.

There is no reliable single answer.

Technical fixes can change visibility quickly, sometimes within weeks, because you are removing a barrier rather than building an asset. Content restructuring takes longer. It depends on those pages being recrawled and reassessed, which happens on the search engine's schedule rather than yours. Authority and citation work is the slowest of the three by some margin, and it is also the most valuable.

AI systems add their own variability. Tools do not all refresh their underlying data at the same time, so movement can appear in one before another. Model updates can shift results in either direction independently of anything either of us has done.

What we can commit to is visibility into the process. You will see the baseline, the work as it happens, and the movement against it, including the months where the movement is flat.

The ones your customers actually use, which for Australian businesses generally means:

• Google AI Overviews and AI Mode: AI Overviews reached Australia in October 2024 and AI Mode followed in October 2025. This is the AI most tightly connected to your existing search performance.
• ChatGPT: the assistant most people name when they talk about AI, and increasingly a starting point for product and service research.
• Gemini: integrated across Google's products, which gives it reach beyond people who seek it out.
• Perplexity: smaller, but it cites sources prominently, which makes it a useful early indicator of how your content is being read.
• Bing and Copilot: relevant for business and enterprise audiences in particular.

The underlying work is largely shared across all of them, because they draw on similar signals. Where they differ is in how they attribute sources, which is why we review each one separately.

No, and we would be cautious about anyone who says otherwise.

There is no position to buy, no submission process, and no mechanism by which an agency can compel an AI system to reference a particular business. Outputs vary between users, between sessions and between model versions, so even a citation you can see today is not a fixed asset.

What we can do is improve every input that makes citation more likely, measure what happens, and be clear about which changes drove which movement.

The fundamentals should, because they are not tied to any single system's behaviour.

Accessible sites, clearly structured content, consistent business information and genuine industry credibility have survived every significant change so far, for the straightforward reason that every AI system needs reliable sources and these are the signals that identify one. Tactics built to exploit a specific quirk are the ones that break.

We will not chase every reported trick, and we will tell you when something being widely discussed does not have evidence behind it yet.

The same people who do your SEO. You get a dedicated account manager alongside your SEO specialist.

That is deliberate. The work is not unusual: crawl accessibility, structured data, content that answers a question cleanly, and consistent information about your business. Those are SEO skills, and handing them to a separate team would just split your campaign in two.

You can meet the people who would be working on your campaign on our team page.